Yuille, A.
Standard Author Listing
with: Bai, S.: InstMove: Instance Motion for Object-centric Video Segmentation
with: Bai, X.: InstMove: Instance Motion for Object-centric Video Segmentation
with: Bai, Y.T.: Masked Autoencoders Enable Efficient Knowledge Distillers
with: Bian, C.: Multispectral Video Semantic Segmentation: A Benchmark Datas...
with: Chen, J.N.: CancerUniT: Towards a Single Unified Model for Effective D...
with: Chen, X.: CancerUniT: Towards a Single Unified Model for Effective Det...
with: Cheng, L.: Multispectral Video Semantic Segmentation: A Benchmark Data...
with: Cui, Y.W.: Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape
with: Fan, H.Q.: Diffusion Models as Masked Autoencoders
with: Fang, W.: CancerUniT: Towards a Single Unified Model for Effective Det...
with: Feichtenhofer, C.: Diffusion Models as Masked Autoencoders
with: He, J.: Learning Part Segmentation from Synthetic Animals
with: Hu, Q.X.: Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape
with: Huang, P.Y.: Diffusion Models as Masked Autoencoders
with: Jesslen, A.: Animal3D: A Comprehensive Dataset of 3D Animal Pose and S...
with: Ji, P.L.: 3D-Aware Neural Body Fitting for Occlusion Robust 3D Human P...
with: Ji, P.L.: Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape
with: Ji, W.: Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape
with: Ji, W.: Multispectral Video Semantic Segmentation: A Benchmark Dataset...
with: Jiang, Y.: InstMove: Instance Motion for Object-centric Video Segmenta...
with: Kaushik, P.: Animal3D: A Comprehensive Dataset of 3D Animal Pose and S...
with: Kaushik, P.: Learning Part Segmentation from Synthetic Animals
with: Kortylewski, A.: 3D-Aware Neural Body Fitting for Occlusion Robust 3D ...
with: Kortylewski, A.: Animal3D: A Comprehensive Dataset of 3D Animal Pose a...
with: Kortylewski, A.: Neural Textured Deformable Meshes for Robust Analysis...
with: Kortylewski, A.: PoseExaminer: Automated Testing of Out-of-Distributio...
with: Kortylewski, A.: Robust Category-Level 3D Pose Estimation from Diffusi...
with: Li, J.J.: Multispectral Video Semantic Segmentation: A Benchmark Datas...
with: Li, Y.H.: Diffusion Models as Masked Autoencoders
with: Lin, Y.Z.: SMAUG: Sparse Masked Autoencoder for Efficient Video-Langua...
with: Liu, J.: Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape
with: Liu, Q.H.: Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape
with: Liu, Q.H.: InstMove: Instance Motion for Object-centric Video Segmenta...
with: Liu, Q.H.: PoseExaminer: Automated Testing of Out-of-Distribution Robu...
with: Liu, Z.: CancerUniT: Towards a Single Unified Model for Effective Dete...
with: Lu, L.: CancerUniT: Towards a Single Unified Model for Effective Detec...
with: Ma, W.: Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape
with: Ma, W.: Neural Textured Deformable Meshes for Robust Analysis-by-Synth...
with: Ma, W.: Robust Category-Level 3D Pose Estimation from Diffusion-Enhanc...
with: Mangalam, K.: Diffusion Models as Masked Autoencoders
with: Mei, J.: 3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Po...
with: Mu, J.: Learning Part Segmentation from Synthetic Animals
with: Peng, J.W.: Animal3D: A Comprehensive Dataset of 3D Animal Pose and Sh...
with: Peng, J.W.: Learning Part Segmentation from Synthetic Animals
with: Qiu, M.Y.: CancerUniT: Towards a Single Unified Model for Effective De...
with: Shi, Y.: CancerUniT: Towards a Single Unified Model for Effective Dete...
with: Tang, Y.X.: CancerUniT: Towards a Single Unified Model for Effective D...
with: Wang, A.: 3D-Aware Neural Body Fitting for Occlusion Robust 3D Human P...
with: Wang, A.: Neural Textured Deformable Meshes for Robust Analysis-by-Syn...
with: Wang, A.: Robust Category-Level 3D Pose Estimation from Diffusion-Enha...
with: Wang, C.: Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape
with: Wang, F.: CancerUniT: Towards a Single Unified Model for Effective Det...
with: Wang, H.Y.: Diffusion Models as Masked Autoencoders
with: Wang, H.Y.: Masked Autoencoders Enable Efficient Knowledge Distillers
with: Wang, H.Y.: SMAUG: Sparse Masked Autoencoder for Efficient Video-Langu...
with: Wang, J.H.: Animal3D: A Comprehensive Dataset of 3D Animal Pose and Sh...
with: Wang, Q.F.: CancerUniT: Towards a Single Unified Model for Effective D...
with: Wang, Z.: Masked Autoencoders Enable Efficient Knowledge Distillers
with: Wei, C.: Diffusion Models as Masked Autoencoders
with: Wei, C.: Masked Autoencoders Enable Efficient Knowledge Distillers
with: Wei, C.: SMAUG: Sparse Masked Autoencoder for Efficient Video-Language...
with: Wu, J.F.: InstMove: Instance Motion for Object-centric Video Segmentat...
with: Xia, Y.D.: CancerUniT: Towards a Single Unified Model for Effective De...
with: Xiao, J.F.: Masked Autoencoders Enable Efficient Knowledge Distillers
with: Xiao, Z.H.: Learning Part Segmentation from Synthetic Animals
with: Xie, C.: Diffusion Models as Masked Autoencoders
with: Xie, C.: Masked Autoencoders Enable Efficient Knowledge Distillers
with: Xie, C.: SMAUG: Sparse Masked Autoencoder for Efficient Video-Language...
with: Xie, Y.S.: Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape
with: Xu, H.: Diffusion Models as Masked Autoencoders
with: Xu, J.: Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape
with: Xu, M.F.: CancerUniT: Towards a Single Unified Model for Effective Det...
with: Yan, K.: CancerUniT: Towards a Single Unified Model for Effective Dete...
with: Yang, J.H.: Robust Category-Level 3D Pose Estimation from Diffusion-En...
with: Yao, J.: CancerUniT: Towards a Single Unified Model for Effective Dete...
with: Ye, X.H.: CancerUniT: Towards a Single Unified Model for Effective Det...
with: Yin, X.L.: CancerUniT: Towards a Single Unified Model for Effective De...
with: Yu, Q.H.: CancerUniT: Towards a Single Unified Model for Effective Det...
with: Yuan, M.Z.: CancerUniT: Towards a Single Unified Model for Effective D...
with: Yuan, X.D.: Animal3D: A Comprehensive Dataset of 3D Animal Pose and Sh...
with: Yuan, X.D.: Robust Category-Level 3D Pose Estimation from Diffusion-En...
with: Zhang, G.F.: Animal3D: A Comprehensive Dataset of 3D Animal Pose and S...
with: Zhang, J.H.: Animal3D: A Comprehensive Dataset of 3D Animal Pose and S...
with: Zhang, J.P.: CancerUniT: Towards a Single Unified Model for Effective ...
with: Zhang, L.: CancerUniT: Towards a Single Unified Model for Effective De...
with: Zhang, Y.: 3D-Aware Neural Body Fitting for Occlusion Robust 3D Human ...
with: Zhang, Y.: Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape
with: Zhao, J.Y.: Multispectral Video Semantic Segmentation: A Benchmark Dat...
with: Zhao, Y.Q.: CancerUniT: Towards a Single Unified Model for Effective D...
with: Zhou, B.: CancerUniT: Towards a Single Unified Model for Effective Det...
with: Zhou, J.: CancerUniT: Towards a Single Unified Model for Effective Det...
with: Zhou, Y.: Masked Autoencoders Enable Efficient Knowledge Distillers
with: Zhou, Z.: Multispectral Video Semantic Segmentation: A Benchmark Datas...
94 for Yuille, A.
Yuille, A.L.
Standard Author Listing
with:
with: Adam, H.: Auto-DeepLab: Hierarchical Neural Architecture Search for Se...
with: Adam, H.: Axial-Deeplab: Stand-alone Axial-Attention for Panoptic Segm...
with: Adam, H.: k-means Mask Transformer
with: Adam, H.: MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Tran...
with: Adam, H.: ViP-DeepLab: Learning Visual Perception with Depth-aware Vid...
with: Anderson, A.: Large sample group independent component analysis of fun...
with: Asada, H.: Describing Surfaces
with: Bai, S.: Explicit Occlusion Reasoning for Multi-person 3D Human Pose E...
with: Bai, S.: Improving Transferability of Adversarial Examples With Input ...
with: Bai, S.: In Defense of Online Models for Video Instance Segmentation
with: Bai, S.: Neural Architecture Search for Lightweight Non-Local Networks
with: Bai, S.: Occluded Video Instance Segmentation: A Benchmark
with: Bai, S.: OVIS: Occluded Video Instance Segmentation
with: Bai, S.: PCL: Proposal Cluster Learning for Weakly Supervised Object D...
with: Bai, S.: Prior-Aware Neural Network for Partially-Supervised Multi-Org...
with: Bai, S.: Regional Homogeneity: Towards Learning Transferable Universal...
with: Bai, S.: Semi-Supervised 3D Abdominal Multi-Organ Segmentation Via Dee...
with: Bai, S.: TransMix: Attend to Mix for Vision Transformers
with: Bai, X.: DeepSkeleton: Learning Multi-Task Scale-Associated Deep Side ...
with: Bai, X.: In Defense of Online Models for Video Instance Segmentation
with: Bai, X.: Occluded Video Instance Segmentation: A Benchmark
with: Bai, X.: OVIS: Occluded Video Instance Segmentation
with: Bai, X.: PCL: Proposal Cluster Learning for Weakly Supervised Object D...
with: Bai, X.: Scale-Space SIFT flow
with: Bai, Y.T.: C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Me...
with: Bai, Y.T.: CLEVR-Ref+: Diagnosing Visual Reasoning With Referring Expr...
with: Bai, Y.T.: CoKe: Contrastive Learning for Robust Keypoint Detection
with: Bai, Y.T.: Delving into Masked Autoencoders for Multi-Label Thorax Dis...
with: Bai, Y.T.: Mask Guided Matting via Progressive Refinement Network
with: Bai, Y.T.: Point-Level Region Contrast for Object Detection Pre-Training
with: Bai, Y.T.: Semantic Part Detection via Matching: Learning to Generaliz...
with: Barbu, A.: Motion Estimation by Swendsen-Wang Cuts
with: Bargal, S.A.: Simulated Adversarial Testing of Face Recognition Models
with: Barron, J.T.: Semantic Image Segmentation with Task-Specific Edge Dete...
with: Batra, D.: Empirical Minimum Bayes Risk Prediction
with: Batra, D.: Empirical Minimum Bayes Risk Prediction: How to Extract an ...
with: Belhumeur, P.N.: Bas-Relief Ambiguity, The
with: Belhumeur, P.N.: Determining Generative Models of Objects Under Varyin...
with: Belhumeur, P.N.: Learning Object Representations from Lighting Variati...
with: Belhumeur, P.N.: Recovering Object Surfaces from Viewed Changes in Sur...
with: Belongie, S.: Occluded Video Instance Segmentation: A Benchmark
with: Belongie, S.: OVIS: Occluded Video Instance Segmentation
with: Berg, A.C.: Point-Level Region Contrast for Object Detection Pre-Train...
with: Bischof, H.: Guest Editorial Introduction to the Special Issue on Larg...
with: Blake, A.: Active Vision
with: Bonev, B.: Fast and Simple Algorithm for Producing Candidate Regions, A
with: Bonev, B.: Modeling deformable gradient compositions for single-image ...
with: Bonev, B.: PASCAL Boundaries: A Semantic Boundary Dataset with a Deep ...
with: Bonev, B.: Region-based temporally consistent video post-processing
with: Bonev, B.I.: Ground-Truth Data Set and Baseline Evaluations for Base-D...
with: Brady, J.M.: Describing Surfaces
with: Brady, M.: Extremum Principle for Shape from Contour, An
with: Bramen, J.: Large sample group independent component analysis of funct...
with: Brody, A.L.: Large sample group independent component analysis of func...
with: Bulthoff, H.H.: Stereo integration, mean field theory and psychophysics
with: Burgi, P.Y.: Visual Motion Estimation and Prediction: A Probabilistic ...
with: Cai, J.: 3D Semi-Supervised Learning with Uncertainty-Aware Multi-View...
with: Cai, J.Z.: JSSR: A Joint Synthesis, Segmentation, and Registration Sys...
with: Cai, W.D.: SQUID: Deep Feature In-Painting for Unsupervised Anomaly De...
with: Caine, B.: DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Obj...
with: Camburu, O.: Generation and Comprehension of Unambiguous Object Descri...
with: Cao, Y.Z.: Patchattack: A Black-box Texture-based Attack with Reinforc...
with: Cavanaugh, J.: Deformable templates for feature extraction from medica...
with: Chen, J.: Compositor: Bottom-Up Clustering and Compositing for Robust ...
with: Chen, J.: Deep Distance Transform for Tubular Structure Segmentation i...
with: Chen, J.E.: Label-Free Liver Tumor Segmentation
with: Chen, J.N.: CLIP-Driven Universal Model for Organ Segmentation and Tum...
with: Chen, J.N.: PartImageNet: A Large, High-Quality Dataset of Parts
with: Chen, J.N.: TransMix: Attend to Mix for Vision Transformers
with: Chen, L.C.: Attention to Scale: Scale-Aware Semantic Image Segmentation
with: Chen, L.C.: Auto-DeepLab: Hierarchical Neural Architecture Search for ...
with: Chen, L.C.: Axial-Deeplab: Stand-alone Axial-Attention for Panoptic Se...
with: Chen, L.C.: DeepLab: Semantic Image Segmentation with Deep Convolution...
with: Chen, L.C.: DetectoRS: Detecting Objects with Recursive Feature Pyrami...
with: Chen, L.C.: k-means Mask Transformer
with: Chen, L.C.: Learning a Dictionary of Shape Epitomes with Applications ...
with: Chen, L.C.: MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Tr...
with: Chen, L.C.: Modeling Image Patches with a Generic Dictionary of Mini-e...
with: Chen, L.C.: Semantic Image Segmentation with Task-Specific Edge Detect...
with: Chen, L.C.: ViP-DeepLab: Learning Visual Perception with Depth-aware V...
with: Chen, L.C.: Weakly-and Semi-Supervised Learning of a Deep Convolutiona...
with: Chen, L.C.: Zoom Better to See Clearer: Human and Object Parsing with ...
with: Chen, Q.: Object as Hotspots: An Anchor-free 3d Object Detection Appro...
with: Chen, Q.: UnrealStereo: Controlling Hazardous Factors to Analyze Stere...
with: Chen, Q.A.: Towards Unified Object Detection and Semantic Segmentation
with: Chen, X.J.: Detect What You Can: Detecting and Representing Objects Us...
with: Chen, X.J.: Ground-Truth Data Set and Baseline Evaluations for Base-De...
with: Chen, X.J.: Joint Multi-person Pose Estimation and Semantic Part Segme...
with: Chen, X.J.: Parsing occluded people by flexible compositions
with: Chen, X.J.: Role of Context for Object Detection and Semantic Segmenta...
with: Chen, X.L.: Point-Level Region Contrast for Object Detection Pre-Train...
with: Chen, X.L.: Prior-Aware Neural Network for Partially-Supervised Multi-...
with: Chen, X.R.: Detecting and reading text in natural scenes
with: Chen, X.R.: Image Parsing: Unifying Segmentation, Detection, and Recog...
with: Chen, X.R.: Time-Efficient Cascade for Real-Time Object Detection: Wit...
with: Chen, X.Y.: Learning to Refine 3D Human Pose Sequences
with: Chen, Y.H.: Active Mask Hierarchies for Object Detection
with: Chen, Y.H.: Latent hierarchical structural learning for object detection
with: Chen, Y.H.: Learning a Hierarchical Deformable Template for Rapid Defo...
with: Chen, Y.H.: Max Margin AND/OR Graph learning for parsing the human body
with: Chen, Y.H.: Max Margin Learning of Hierarchical Configural Deformable ...
with: Chen, Y.H.: Part and appearance sharing: Recursive Compositional Model...
with: Chen, Y.H.: Recursive Compositional Models for Vision: Description and...
with: Chen, Y.H.: Recursive Segmentation and Recognition Templates for Image...
with: Chen, Y.H.: Structure-perceptron learning of a hierarchical log-linear...
with: Chen, Y.H.: Unsupervised Learning of Probabilistic Grammar-Markov Mode...
with: Chen, Y.H.: Unsupervised learning of probabilistic object models (POMs...
with: Chen, Y.H.: Unsupervised Learning of Probabilistic Object Models (POMs...
with: Chen, Y.H.: Unsupervised Structure Learning: Hierarchical Recursive Co...
with: Chen, Y.X.: Label-Free Liver Tumor Segmentation
with: Cheng, C.T.: JSSR: A Joint Synthesis, Segmentation, and Registration S...
with: Cheng, J.: Regularizing face verification nets for pain intensity regr...
with: Cho, A.: Large sample group independent component analysis of function...
with: Cho, N.G.: Adaptive occlusion state estimation for human pose tracking...
with: Cho, N.G.: Novel Linelet-Based Representation for Line Segment Detecti...
with: Cho, N.G.: Role of Context for Object Detection and Semantic Segmentat...
with: Chu, X.: Multi-context Attention for Human Pose Estimation
with: Clark, J.J.: Data Fusion for Sensory Information Processing Systems
with: Clark, J.J.: Depth Recovery Algorithm Using Defocus Information, A
with: Clark, J.J.: Shape from Shading via the Fusion of Specular and Lambert...
with: Cohen, D.S.: Feature Extraction from Faces Using Deformable Templates
with: Cohen, M.S.: Large sample group independent component analysis of func...
with: Cohen, S.: Joint Object and Part Segmentation Using Deep Learned Poten...
with: Cohen, S.: Towards unified depth and semantic prediction from a single...
with: Collins, M.: k-means Mask Transformer
with: Corso, J.J.: Efficient Multilevel Brain Tumor Segmentation With Integr...
with: Corso, J.J.: Graph-shifts: Natural image labeling by dynamic hierarchi...
with: Corso, J.J.: MRF Labeling with a Graph-Shifts Algorithm
with: Cosgrove, C.: Adversarial Examples for Edge Detection: They Exist, and...
with: Coughlan, J.M.: A* perspective on deterministic optimization for defor...
with: Coughlan, J.M.: Algorithms from statistical physics for generative mod...
with: Coughlan, J.M.: bayesian network framework for relational shape matchi...
with: Coughlan, J.M.: Efficient Deformable Template Detection and Localizati...
with: Coughlan, J.M.: Efficient Optimization of a Deformable Template Using ...
with: Coughlan, J.M.: Fundamental Bounds on Edge Detection: An Information T...
with: Coughlan, J.M.: Fundamental Limits of Bayesian Inference: Order Parame...
with: Coughlan, J.M.: G-factors: Relating Distributions on Features to Distr...
with: Coughlan, J.M.: generic viewpoint assumption and planar bias, The
with: Coughlan, J.M.: High-Level and Generic Models for Visual Search: When ...
with: Coughlan, J.M.: KGBR Viewpoint-Lighting Ambiguity and its Resolution b...
with: Coughlan, J.M.: KGBR viewpointlighting ambiguity, The
with: Coughlan, J.M.: Manhattan World: Compass Direction from a Single Image...
with: Coughlan, J.M.: Order Parameters for Detecting Target Curves in Images...
with: Coughlan, J.M.: Order Parameters for Minimax Entropy Distributions: Wh...
with: Coughlan, J.M.: statistical approach to multi-scale edge detection, A
with: Coughlan, J.M.: Statistical edge detection: learning and evaluating ed...
with: Cremers, D.: Generative Model Based Approach to Motion Segmentation, A
with: Cremers, D.: Statistical and Geometrical Approaches to Visual Motion A...
with: Culbertson, C.: Large sample group independent component analysis of f...
with: Dai, W.R.: BNET: Batch Normalization With Enhanced Linear Transformation
with: Ding, H.: Deeply Shape-guided Cascade for Instance Segmentation
with: Dinov, I.D.: Automated Extraction of the Cortical Sulci Based on a Sup...
with: Dollar, P.: Are Labels Necessary for Neural Architecture Search?
with: Dong, J.: Towards Unified Object Detection and Semantic Segmentation
with: Dong, X.: Ground-Truth Data Set and Baseline Evaluations for Base-Deta...
with: Dong, X.: Region-based temporally consistent video post-processing
with: Douglas, P.K.: Large sample group independent component analysis of fu...
with: Dreizin, D.: External Attention Assisted Multi-Phase Splenic Vascular ...
with: Dube, S.: Efficient Multilevel Brain Tumor Segmentation With Integrate...
with: Dutton, R.A.: Automated Extraction of the Cortical Sulci Based on a Su...
with: El Saden, S.: Efficient Multilevel Brain Tumor Segmentation With Integ...
with: Elfadel, I.M.: Mean-Field Phase Transistions and Correlation Functions...
with: English, C.: Efficient Deformable Template Detection and Localization ...
with: English, C.: Efficient Optimization of a Deformable Template Using Dyn...
with: Epstein, R.: 5+/-2 Eigenimages Suffice: An Empirical Investigation of ...
with: Epstein, R.: Determining Generative Models of Objects Under Varying Il...
with: Epstein, R.: Learning Object Representations from Lighting Variations
with: Epstein, R.: Training a general purpose deformable template
with: Fan, H.Q.: Masked Feature Prediction for Self-Supervised Visual Pre-Tr...
with: Fang, F.: Computing importance of 2D contour parts by reconstructability
with: Fang, F.: Shape Reconstructability Measure of Object Part Importance w...
with: Farhadi, A.: ELASTIC: Improving CNNs With Dynamic Scaling Policies
with: Fei Fei, L.: Auto-DeepLab: Hierarchical Neural Architecture Search for...
with: Fei Fei, L.: Progressive Neural Architecture Search
with: Feichtenhofer, C.: Masked Feature Prediction for Self-Supervised Visua...
with: Ferraro, M.: Image Warping for Shape Recovery and Recognition
with: Ferraro, M.: Relating image warping to 3D geometrical deformations
with: Ferraro, M.: Surface Shape from Warping
with: Fidler, S.: Bottom-Up Segmentation for Top-Down Detection
with: Fidler, S.: Detect What You Can: Detecting and Representing Objects Us...
with: Fidler, S.: Human-Machine CRFs for Identifying Bottlenecks in Scene Un...
with: Fidler, S.: Role of Context for Object Detection and Semantic Segmenta...
with: Fishman, E.: 3D Coarse-to-Fine Framework for Volumetric Medical Image ...
with: Fishman, E.: Prior-Aware Neural Network for Partially-Supervised Multi...
with: Fishman, E.: Semi-Supervised 3D Abdominal Multi-Organ Segmentation Via...
with: Fishman, E.K.: Deep Distance Transform for Tubular Structure Segmentat...
with: Fishman, E.K.: Elastic Boundary Projection for 3D Medical Image Segmen...
with: Fishman, E.K.: Learning Inductive Attention Guidance for Partially Sup...
with: Fishman, E.K.: Recurrent Saliency Transformation Network for Tiny Targ...
with: Fishman, E.K.: Recurrent Saliency Transformation Network: Incorporatin...
with: Fishman, E.K.: Segmentation for Classification of Screening Pancreatic...
with: Flynn, J.: Geometric Neural Phrase Pooling: Modeling the Spatial Co-Oc...
with: Fowlkes, C.: Resisting Large Data Variations via Introspective Transfo...
with: Freeman, W.: Latent hierarchical structural learning for object detect...
with: Freeman, W.T.: Part and appearance sharing: Recursive Compositional Mo...
with: Galaburda, A.M.: Automated Extraction of the Cortical Sulci Based on a...
with: Gao, C.: Universal Physical Camouflage Attacks on Object Detectors
with: Gao, W.: Computing importance of 2D contour parts by reconstructability
with: Gao, W.: Progressive Stage-wise Learning for Unsupervised Feature Repr...
with: Gao, W.: Robust Estimation of 3D Human Poses from a Single Image
with: Gao, W.: Shape Reconstructability Measure of Object Part Importance wi...
with: Gao, Y.: Estimation of 3D Category-Specific Object Structure: Symmetry...
with: Gao, Y.: Exploiting Symmetry and/or Manhattan Properties for 3D Object...
with: Gao, Y.: NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neur...
with: Gao, Y.: Occluded Video Instance Segmentation: A Benchmark
with: Gao, Y.: OVIS: Occluded Video Instance Segmentation
with: Gao, Y.: Semi-Supervised Sparse Representation Based Classification fo...
with: Gao, Y.: Symmetric Non-rigid Structure from Motion for Category-Specif...
with: Gao, Z.Q.: Simple Data Mixing Prior for Improving Self-Supervised Lear...
with: Geiger, D.: Common Framework for Image Segmentation, A
with: Geiger, D.: Occlusions and Binocular Stereo
with: Geiger, D.: Segmenting by Seeking the Symmetry Axis
with: Geiger, D.: Statistical Morphology and Bayesian Reconstruction
with: Geiger, D.: Stereo and Controlled Movement
with: Geiger, D.: Stereo and Eye Movement
with: Geiger, D.: Stereo integration, mean field theory and psychophysics
with: Geiger, D.: Stereopsis And Eye-Movement
with: Gennert, M.A.: Determining the Optimal Weights in Multiple Objective F...
with: Girshick, R.: Are Labels Necessary for Neural Architecture Search?
with: Girshick, R.: Editorial: Deep Learning for Computer Vision
with: Gong, B.: Adversarial Examples Improve Image Recognition
with: Green, B.: Axial-Deeplab: Stand-alone Axial-Attention for Panoptic Seg...
with: Grzywacz, N.M.: Massively Parallel Implementations of Theories for App...
with: Grzywacz, N.M.: Mathematical Analysis of the Motion Coherence Theory, A
with: Grzywacz, N.M.: model for the estimate of local velocity, A
with: Grzywacz, N.M.: Motion Coherence Theory, The
with: Grzywacz, N.M.: Visual Motion Estimation and Prediction: A Probabilist...
with: Guo, G.: Computing importance of 2D contour parts by reconstructability
with: Guo, G.: Shape Reconstructability Measure of Object Part Importance wi...
with: Guo, M.Q.: Learning Part Segmentation through Unsupervised Domain Adap...
with: Guo, W.Y.: Context-Enhanced Stereo Transformer
with: Guo, Y.L.: Deep Differentiable Random Forests for Age Estimation
with: Guo, Y.L.: Deep Regression Forests for Age Estimation
with: Gupta, V.: SwapMix: Diagnosing and Regularizing the Over-Reliance on V...
with: Hager, G.D.: Coarse-To-Fine Incremental Few-Shot Learning
with: Hager, G.D.: Learning From Synthetic Animals
with: Hager, G.D.: Learning from Synthetic Vehicles
with: Hager, G.D.: Regularizing face verification nets for pain intensity re...
with: Hager, G.D.: Synthesizing Attributes with Unreal Engine for Fine-grain...
with: Hallinan, P.W.: 5+/-2 Eigenimages Suffice: An Empirical Investigation ...
with: Hallinan, P.W.: Feature Extraction from Faces Using Deformable Templates
with: Han, M.: Prior-Aware Neural Network for Partially-Supervised Multi-Org...
with: Harrison, A.P.: JSSR: A Joint Synthesis, Segmentation, and Registratio...
with: He, J.: Compositional Convolutional Neural Networks: A Deep Architectu...
with: He, J.: Compositor: Bottom-Up Clustering and Compositing for Robust Pa...
with: He, J.: CORL: Compositional Representation Learning for Few-Shot Class...
with: He, J.: Learning from Temporal Gradient for Semi-supervised Action Rec...
with: He, J.: OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shif...
with: He, J.: PartImageNet: A Large, High-Quality Dataset of Parts
with: He, J.: TransMix: Attend to Mix for Vision Transformers
with: He, K.M.: Are Labels Necessary for Neural Architecture Search?
with: He, K.M.: Feature Denoising for Improving Adversarial Robustness
with: He, S.F.: Simple Data Mixing Prior for Improving Self-Supervised Learn...
with: Honda, K.: Deformable Templates, Robust Statistics, and Hough Transforms
with: Horn, B.K.P.: Impossible Shaded Images
with: Hou, X.D.: Boundary Detection Benchmarking: Beyond F-Measures
with: Hou, X.D.: Secrets of Salient Object Segmentation, The
with: Hu, Q.X.: Label-Free Liver Tumor Segmentation
with: Hu, X.L.: UnrealStereo: Controlling Hazardous Factors to Analyze Stere...
with: Hu, Y.: Occluded Video Instance Segmentation: A Benchmark
with: Hu, Y.: OVIS: Occluded Video Instance Segmentation
with: Hua, W.: Auto-DeepLab: Hierarchical Neural Architecture Search for Sem...
with: Hua, W.: Progressive Neural Architecture Search
with: Huang, H.: Unsupervised Structure Learning: Hierarchical Recursive Com...
with: Huang, J.: Generation and Comprehension of Unambiguous Object Descript...
with: Huang, J.: Progressive Neural Architecture Search
with: Huang, J.Z.: Weakly Supervised Region Proposal Network and Object Dete...
with: Huang, L.: Universal Physical Camouflage Attacks on Object Detectors
with: Huang, X.: Deep Networks Under Scene-Level Supervision for Multi-Class...
with: Huang, Z.H.: Learning Like a Child: Fast Novel Visual Concept Learning...
with: Huo, Y.K.: JSSR: A Joint Synthesis, Segmentation, and Registration Sys...
with: Hwang, T.L.: Depth Recovery Algorithm Using Defocus Information, A
with: Jahangiri, E.: Generating Multiple Diverse Hypotheses for Human 3D Pos...
with: Jasinschi, R.: Non-Rigid Motion and Regge Calculus
with: Jia, K.: Object as Hotspots: An Anchor-free 3d Object Detection Approa...
with: Jiang, T.T.: Computing importance of 2D contour parts by reconstructab...
with: Jiang, T.T.: Shape Reconstructability Measure of Object Part Importanc...
with: Jiang, Y.: DeepSkeleton: Learning Multi-Task Scale-Associated Deep Sid...
with: Jiang, Y.: In Defense of Online Models for Video Instance Segmentation
with: Jiang, Y.: Multi-stage Multi-recursive-input Fully Convolutional Netwo...
with: Jin, D.: JSSR: A Joint Synthesis, Segmentation, and Registration Syste...
with: Jin, X.: Neural Architecture Search for Lightweight Non-Local Networks
with: Jing, L.L.: Learning from Temporal Gradient for Semi-supervised Action...
with: Kembhavi, A.: ELASTIC: Improving CNNs With Dynamic Scaling Policies
with: Kim, T.S.: Learning from Synthetic Vehicles
with: Kim, T.S.: Synthesizing Attributes with Unreal Engine for Fine-grained...
with: Kirillov, A.: Point-Level Region Contrast for Object Detection Pre-Tra...
with: Koch, C.: AdaBoost for Text Detection in Natural Scene
with: Koch, C.: Boundary Detection Benchmarking: Beyond F-Measures
with: Koch, C.: Secrets of Salient Object Segmentation, The
with: Kokkinos, I.: Bottom-Up and Top-down Object Detection using Primal Ske...
with: Kokkinos, I.: DeepLab: Semantic Image Segmentation with Deep Convoluti...
with: Kokkinos, I.: Editorial: Deep Learning for Computer Vision
with: Kokkinos, I.: HOP: Hierarchical object parsing
with: Kokkinos, I.: Inference and learning with hierarchical compositional m...
with: Kokkinos, I.: Inference and Learning with Hierarchical Shape Models
with: Kokkinos, I.: Scale invariance without scale selection
with: Kokkinos, I.: Unsupervised Learning of Object Deformation Models
with: Kokkinos, I.: Weakly-and Semi-Supervised Learning of a Deep Convolutio...
with: Konishi, S.: Fundamental Bounds on Edge Detection: An Information Theo...
with: Konishi, S.: generic viewpoint assumption and planar bias, The
with: Konishi, S.: KGBR Viewpoint-Lighting Ambiguity and its Resolution by G...
with: Konishi, S.: KGBR viewpointlighting ambiguity, The
with: Konishi, S.: statistical approach to multi-scale edge detection, A
with: Konishi, S.: Statistical Cues for Domain Specific Image Segmentation w...
with: Konishi, S.: Statistical edge detection: learning and evaluating edge ...
with: Kortylewski, A.: A-SDF: Learning Disentangled Signed Distance Function...
with: Kortylewski, A.: Amodal Segmentation through Out-of-Task and Out-of-Di...
with: Kortylewski, A.: CoKe: Contrastive Learning for Robust Keypoint Detect...
with: Kortylewski, A.: Combining Compositional Models and Deep Networks For ...
with: Kortylewski, A.: Compositional Convolutional Neural Networks: A Deep A...
with: Kortylewski, A.: Compositional Convolutional Neural Networks: A Robust...
with: Kortylewski, A.: CORL: Compositional Representation Learning for Few-S...
with: Kortylewski, A.: Learning Part Segmentation through Unsupervised Domai...
with: Kortylewski, A.: Localizing Occluders with Compositional Convolutional...
with: Kortylewski, A.: OOD-CV: A Benchmark for Robustness to Out-of-Distribu...
with: Kortylewski, A.: PartImageNet: A Large, High-Quality Dataset of Parts
with: Kortylewski, A.: Patchattack: A Black-box Texture-based Attack with Re...
with: Kortylewski, A.: Robust Category-Level 6D Pose Estimation with Coarse-...
with: Kortylewski, A.: Robust Instance Segmentation through Reasoning about ...
with: Kortylewski, A.: Robust Object Detection Under Occlusion With Context-...
with: Kortylewski, A.: Simulated Adversarial Testing of Face Recognition Mod...
with: Kortylewski, A.: Super-CLEVR: A Virtual Benchmark to Diagnose Domain R...
with: Kortylewski, A.: SwapMix: Diagnosing and Regularizing the Over-Relianc...
with: Kriegman, D.J.: Bas-Relief Ambiguity, The
with: Ladendorf, B.: Occlusions and Binocular Stereo
with: Lan, X.G.: Learning to Refine 3D Human Pose Sequences
with: Landman, B.A.: CLIP-Driven Universal Model for Organ Segmentation and ...
with: Laptev, I.: Editorial: Deep Learning for Computer Vision
with: Le, Q.V.: Adversarial Examples Improve Image Recognition
with: Le, Q.V.: DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Obje...
with: Lee, A.D.: Automated Extraction of the Cortical Sulci Based on a Super...
with: Lee, J.J.: AdaBoost for Text Detection in Natural Scene
with: Lee, P.H.: AdaBoost for Text Detection in Natural Scene
with: Lee, S.W.: AdaBoost for Text Detection in Natural Scene
with: Lee, S.W.: Adaptive occlusion state estimation for human pose tracking...
with: Lee, S.W.: Novel Linelet-Based Representation for Line Segment Detecti...
with: Lee, S.W.: Role of Context for Object Detection and Semantic Segmentat...
with: Lee, T.S.: Region Competition and its Analysis: A Unified Theory for I...
with: Lee, T.S.: Region Competition: Unifying Snakes, Region Growing, and Ba...
with: Lee, T.S.: Texture Segmentation by Minimizing Vector-Valued Energy Fun...
with: Lenartowicz, A.: Large sample group independent component analysis of ...
with: Leyton, M.: 3D Symmetry-Curvature Duality Theorems
with: Li, L.J.: Progressive Neural Architecture Search
with: Li, W.X.: Ground-Truth Data Set and Baseline Evaluations for Base-Deta...
with: Li, X.H.: In Defense of Image Pre-Training for Spatiotemporal Recognit...
with: Li, Y.: Neural Architecture Search for Lightweight Non-Local Networks
with: Li, Y.: Secrets of Salient Object Segmentation, The
with: Li, Y.S.: Deep Networks Under Scene-Level Supervision for Multi-Class ...
with: Li, Y.W.: Context-Enhanced Stereo Transformer
with: Li, Y.W.: DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Obje...
with: Li, Y.W.: Learning from Temporal Gradient for Semi-supervised Action R...
with: Li, Y.W.: Regional Homogeneity: Towards Learning Transferable Universa...
with: Li, Y.W.: SwapMix: Diagnosing and Regularizing the Over-Reliance on Vi...
with: Li, Z.: Context-Aware Group Captioning via Self-Attention and Contrast...
with: Li, Z.: Prior-Aware Neural Network for Partially-Supervised Multi-Orga...
with: Li, Z.: Progressive Stage-wise Learning for Unsupervised Feature Repre...
with: Li, Z.: Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness...
with: Li, Z.S.: Context-Enhanced Stereo Transformer
with: Li, Z.W.: Calibrating Concepts and Operations: Towards Symbolic Reason...
with: Li, Z.W.: SwapMix: Diagnosing and Regularizing the Over-Reliance on Vi...
with: Li, Z.Z.: Learning Part Segmentation through Unsupervised Domain Adapt...
with: Lian, X.: Neural Architecture Search for Lightweight Non-Local Networks
with: Lian, X.C.: Parsing Semantic Parts of Cars Using Graphical Models and ...
with: Lian, X.C.: PASCAL Boundaries: A Semantic Boundary Dataset with a Deep...
with: Liao, C.H.: JSSR: A Joint Synthesis, Segmentation, and Registration Sy...
with: Liao, W.L.: STFlow: Self-Taught Optical Flow Estimation Using Pseudo L...
with: Liao, Z.Y.: Regional Homogeneity: Towards Learning Transferable Univer...
with: Lin, C.X.: Max Margin AND/OR Graph learning for parsing the human body
with: Lin, C.X.: Max Margin Learning of Hierarchical Configural Deformable T...
with: Lin, C.X.: Recursive Segmentation and Recognition Templates for Image ...
with: Lin, C.X.: Unsupervised Structure Learning: Hierarchical Recursive Com...
with: Lin, L.: Guest Editorial Introduction to the Special Issue on Large Sc...
with: Lin, L.: Robust Region Grouping via Internal Patch Statistics
with: Lin, M.X.: Compositor: Bottom-Up Clustering and Compositing for Robust...
with: Lin, Y.: Recursive Segmentation and Recognition Templates for Image Pa...
with: Lin, Z.: Context-Aware Group Captioning via Self-Attention and Contras...
with: Lin, Z.: Joint Object and Part Segmentation Using Deep Learned Potenti...
with: Lin, Z.: Lite Vision Transformer with Enhanced Self-Attention
with: Lin, Z.: Mask Guided Matting via Progressive Refinement Network
with: Lin, Z.: Neural Rejuvenation: Improving Deep Network Training by Enhan...
with: Lin, Z.: Recurrent Multimodal Interaction for Referring Image Segmenta...
with: Lin, Z.: Towards unified depth and semantic prediction from a single i...
with: Lin, Z.C.: Robust Estimation of 3D Human Poses from a Single Image
with: Lipson, P.R.: Deformable templates for feature extraction from medical...
with: Liu, C.: Few-Shot Image Recognition by Predicting Parameters from Acti...
with: Liu, C.: Regularizing face verification nets for pain intensity regres...
with: Liu, C.: ScaleNet: Guiding Object Proposal Generation in Supermarkets ...
with: Liu, C.X.: Adversarial Attacks Beyond the Image Space
with: Liu, C.X.: Are Labels Necessary for Neural Architecture Search?
with: Liu, C.X.: Auto-DeepLab: Hierarchical Neural Architecture Search for S...
with: Liu, C.X.: CLEVR-Ref+: Diagnosing Visual Reasoning With Referring Expr...
with: Liu, C.X.: Deep Nets: What have They Ever Done for Vision?
with: Liu, C.X.: Progressive Neural Architecture Search
with: Liu, C.X.: Progressive Stage-wise Learning for Unsupervised Feature Re...
with: Liu, C.X.: Recurrent Multimodal Interaction for Referring Image Segmen...
with: Liu, C.X.: SORT: Second-Order Response Transform for Visual Recognition
with: Liu, C.X.: V-NAS: Neural Architecture Search for Volumetric Medical Im...
with: Liu, F.: 3D Semi-Supervised Learning with Uncertainty-Aware Multi-View...
with: Liu, F.: Deep Distance Transform for Tubular Structure Segmentation in...
with: Liu, F.Z.: Alarm System for Segmentation Algorithm Based on Shape Mode...
with: Liu, F.Z.: External Attention Assisted Multi-Phase Splenic Vascular In...
with: Liu, F.Z.: JSSR: A Joint Synthesis, Segmentation, and Registration Sys...
with: Liu, F.Z.: Synthesize Then Compare: Detecting Failures and Anomalies f...
with: Liu, J.: CLIP-Driven Universal Model for Organ Segmentation and Tumor ...
with: Liu, J.Y.: Iterative Reorganization With Weak Spatial Constraints: Sol...
with: Liu, N.: Universal Physical Camouflage Attacks on Object Detectors
with: Liu, Q.: Combining Compositional Models and Deep Networks For Robust O...
with: Liu, Q.: Compositional Convolutional Neural Networks: A Deep Architect...
with: Liu, Q.: Compositional Convolutional Neural Networks: A Robust and Int...
with: Liu, Q.: Learning Part Segmentation through Unsupervised Domain Adapta...
with: Liu, Q.: Localizing Occluders with Compositional Convolutional Networks
with: Liu, Q.: Semantic Part Detection via Matching: Learning to Generalize ...
with: Liu, Q.: Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Ba...
with: Liu, Q.: Weakly Supervised Instance Segmentation for Videos with Tempo...
with: Liu, Q.H.: Explicit Occlusion Reasoning for Multi-person 3D Human Pose...
with: Liu, Q.H.: In Defense of Online Models for Video Instance Segmentation
with: Liu, Q.H.: Learning Part Segmentation through Unsupervised Domain Adap...
with: Liu, R.: CLEVR-Ref+: Diagnosing Visual Reasoning With Referring Expres...
with: Liu, S.: PartImageNet: A Large, High-Quality Dataset of Parts
with: Liu, T.L.: Segmenting by Seeking the Symmetry Axis
with: Liu, W.: NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neur...
with: Liu, W.Y.: PCL: Proposal Cluster Learning for Weakly Supervised Object...
with: Liu, W.Y.: Weakly Supervised Region Proposal Network and Object Detect...
with: Liu, X.B.: Detect What You Can: Detecting and Representing Objects Usi...
with: Liu, X.B.: Robust Region Grouping via Internal Patch Statistics
with: Liu, X.B.: Role of Context for Object Detection and Semantic Segmentat...
with: Liu, X.Y.: Occluded Video Instance Segmentation: A Benchmark
with: Liu, X.Y.: OVIS: Occluded Video Instance Segmentation
with: Lu, J.: Local, Global, and Multilevel Stereo Matching
with: Lu, L.: JSSR: A Joint Synthesis, Segmentation, and Registration System...
with: Lu, W.H.: Parsing Semantic Parts of Cars Using Graphical Models and Se...
with: Lu, X.: Recurrent Multimodal Interaction for Referring Image Segmentat...
with: Lu, Y.F.: DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Obje...
with: Lu, Y.F.: Max Margin AND/OR Graph learning for parsing the human body
with: Lu, Y.Y.: CLIP-Driven Universal Model for Organ Segmentation and Tumor...
with: Lu, Y.Y.: Segmentation for Classification of Screening Pancreatic Neur...
with: Lu, Y.Y.: SQUID: Deep Feature In-Painting for Unsupervised Anomaly Det...
with: Luo, C.: Grouped Spatial-Temporal Aggregation for Efficient Action Rec...
with: Luo, C.X.: Every Pixel Counts ++: Joint Learning of Geometry and Motio...
with: Luo, C.X.: Exploring Simple 3D Multi-Object Tracking for Autonomous Dr...
with: Luo, C.X.: Self-Supervised Pillar Motion Learning for Autonomous Driving
with: Luo, J.B.: Guest Editorial: Geometry, Lighting, Motion, and Learning
with: Luo, W.H.: STFlow: Self-Taught Optical Flow Estimation Using Pseudo La...
with: Lyu, J.L.: Identity Preserve Transform: Understand What Activity Class...
with: Ma, C.: Multi-context Attention for Human Pose Estimation
with: Ma, J.: Coarse-To-Fine Incremental Few-Shot Learning
with: Ma, J.: Semi-Supervised Sparse Representation Based Classification for...
with: Ma, J.Y.: NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neu...
with: Ma, J.Y.: Non-Rigid Point Set Registration by Preserving Global and Lo...
with: Ma, J.Y.: Robust Estimation of Nonrigid Transformation for Point Set R...
with: Ma, J.Y.: Robust Point Matching via Vector Field Consensus
with: Ma, W.: OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shif...
with: Ma, W.: Robust Category-Level 6D Pose Estimation with Coarse-to-Fine R...
with: Ma, W.: Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness...
with: Mahajan, D.: Weakly Supervised Instance Segmentation for Videos with T...
with: Mai, L.: Context-Aware Group Captioning via Self-Attention and Contras...
with: Malik, J.: Editorial: Deep Learning for Computer Vision
with: Mao, J.H.: Active Patch Model for Real World Texture and Appearance Cl...
with: Mao, J.H.: Generation and Comprehension of Unambiguous Object Descript...
with: Mao, J.H.: Learning Like a Child: Fast Novel Visual Concept Learning f...
with: Maragos, P.: Bottom-Up and Top-down Object Detection using Primal Sket...
with: Mei, J.: BNET: Batch Normalization With Enhanced Linear Transformation
with: Mei, J.: In Defense of Image Pre-Training for Spatiotemporal Recognition
with: Mei, J.: Learning to Refine 3D Human Pose Sequences
with: Mei, J.: Neural Architecture Search for Lightweight Non-Local Networks
with: Mei, S.X.: OOD-CV: A Benchmark for Robustness to Out-of-Distribution S...
with: Mellina, C.: CReST: A Class-Rebalancing Self-Training Framework for Im...
with: Meng, T.J.: DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Ob...
with: Mottaghi, R.: Bottom-Up Segmentation for Top-Down Detection
with: Mottaghi, R.: compositional approach to learning part-based models of ...
with: Mottaghi, R.: Detect What You Can: Detecting and Representing Objects ...
with: Mottaghi, R.: Human-Machine CRFs for Identifying Bottlenecks in Scene ...
with: Mottaghi, R.: Role of Context for Object Detection and Semantic Segmen...
with: Mu, J.: Learning From Synthetic Animals
with: Mu, J.T.: A-SDF: Learning Disentangled Signed Distance Functions for A...
with: Mu, J.T.: Learning Part Segmentation through Unsupervised Domain Adapt...
with: Mumford, D.: Guest Editorial: Statistical and Computational Theories o...
with: Mumford, D.: Texture Segmentation by Minimizing Vector-Valued Energy F...
with: Murphy, K.: Generation and Comprehension of Unambiguous Object Descrip...
with: Murphy, K.: Progressive Neural Architecture Search
with: Murphy, K.P.: DeepLab: Semantic Image Segmentation with Deep Convoluti...
with: Murphy, K.P.: Semantic Image Segmentation with Task-Specific Edge Dete...
with: Murphy, K.P.: Weakly-and Semi-Supervised Learning of a Deep Convolutio...
with: Negahdaripour, S.: Direct Passive Navigation: Analytical Solution for ...
with: Neumann, M.: Progressive Neural Architecture Search
with: Nevatia, R.: Every Pixel Counts ++: Joint Learning of Geometry and Mot...
with: Ngiam, J.: DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Obj...
with: Ni, B.B.: Progressive Stage-wise Learning for Unsupervised Feature Rep...
with: Ni, T.W.: Elastic Boundary Projection for 3D Medical Image Segmentation
with: Nitzberg, M.: Signfinder: Using Color to Detect, Localize and Identify...
with: O'Keeffe, D.: Deformable templates for feature extraction from medical...
with: Ouyang, W.: Multi-context Attention for Human Pose Estimation
with: Papandreou, G.: DeepLab: Semantic Image Segmentation with Deep Convolu...
with: Papandreou, G.: Editorial: Deep Learning for Computer Vision
with: Papandreou, G.: Efficient variational inference in large-scale Bayesia...
with: Papandreou, G.: Learning a Dictionary of Shape Epitomes with Applicati...
with: Papandreou, G.: Modeling Image Patches with a Generic Dictionary of Mi...
with: Papandreou, G.: Perturb-and-MAP random fields: Using discrete optimiza...
with: Papandreou, G.: Semantic Image Segmentation with Task-Specific Edge De...
with: Papandreou, G.: Weakly-and Semi-Supervised Learning of a Deep Convolut...
with: Parikh, D.: Human-Machine CRFs for Identifying Bottlenecks in Scene Un...
with: Peng, D.: DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Obje...
with: Peterson, C.: Deformable Templates, Robust Statistics, and Hough Trans...
with: Peven, M.: Learning from Synthetic Vehicles
with: Peven, M.: Synthesizing Attributes with Unreal Engine for Fine-grained...
with: Poggio, T.: Regularized Solution to Edge Detection, A
with: Poggio, T.A.: Fingerprint Theorems for Zero-Crossings
with: Poggio, T.A.: Fingerprints Theorems
with: Poggio, T.A.: Generalized Ordering Constraint for Stereo Correspondenc...
with: Poggio, T.A.: Scaling and Fingerprint Theorems for Zero-Crossings
with: Poggio, T.A.: Scaling Theorems for Zero-Crossings
with: Ponce, J.: Describing Surfaces
with: Porikli, F.M.: Guest Editorial Introduction to the Special Issue on La...
with: Premachandran, V.: Empirical Minimum Bayes Risk Prediction
with: Premachandran, V.: Empirical Minimum Bayes Risk Prediction: How to Ext...
with: Premachandran, V.: PASCAL Boundaries: A Semantic Boundary Dataset with...
with: Price, B.L.: Joint Object and Part Segmentation Using Deep Learned Pot...
with: Price, B.L.: Towards unified depth and semantic prediction from a sing...
with: Qi, J.Y.: Occluded Video Instance Segmentation: A Benchmark
with: Qi, J.Y.: OVIS: Occluded Video Instance Segmentation
with: Qiao, S.: Few-Shot Image Recognition by Predicting Parameters from Act...
with: Qiao, S.: ScaleNet: Guiding Object Proposal Generation in Supermarkets...
with: Qiao, S.: Single-Shot Object Detection with Enriched Semantics
with: Qiao, S.Y.: BNET: Batch Normalization With Enhanced Linear Transformat...
with: Qiao, S.Y.: Deep Co-Training for Semi-Supervised Image Recognition
with: Qiao, S.Y.: Deeply Shape-guided Cascade for Instance Segmentation
with: Qiao, S.Y.: DetectoRS: Detecting Objects with Recursive Feature Pyrami...
with: Qiao, S.Y.: k-means Mask Transformer
with: Qiao, S.Y.: Multi-scale Spatially-Asymmetric Recalibration for Image C...
with: Qiao, S.Y.: Neural Rejuvenation: Improving Deep Network Training by En...
with: Qiao, S.Y.: Robust Face Detection via Learning Small Faces on Hard Ima...
with: Qiao, S.Y.: SORT: Second-Order Response Transform for Visual Recognition
with: Qiao, S.Y.: ViP-DeepLab: Learning Visual Perception with Depth-aware V...
with: Qiu, W.: CRAVES: Controlling Robotic Arm With a Vision-Based Economic ...
with: Qiu, W.: Learning From Synthetic Animals
with: Qiu, W.: ScaleNet: Guiding Object Proposal Generation in Supermarkets ...
with: Qiu, W.C.: A-SDF: Learning Disentangled Signed Distance Functions for ...
with: Qiu, W.C.: Adversarial Attacks Beyond the Image Space
with: Qiu, W.C.: Ground-Truth Data Set and Baseline Evaluations for Base-Det...
with: Qiu, W.C.: Identity Preserve Transform: Understand What Activity Class...
with: Qiu, W.C.: Learning from Synthetic Vehicles
with: Qiu, W.C.: Learning Part Segmentation through Unsupervised Domain Adap...
with: Qiu, W.C.: Nuisance-Label Supervision: Robustness Improvement by Free ...
with: Qiu, W.C.: Scale-Space SIFT flow
with: Qiu, W.C.: Semantic Part Detection via Matching: Learning to Generaliz...
with: Qiu, W.C.: Simulated Adversarial Testing of Face Recognition Models
with: Qiu, W.C.: Synthesizing Attributes with Unreal Engine for Fine-grained...
with: Qiu, W.C.: UnrealCV: Connecting Computer Vision to Unreal Engine
with: Qiu, W.C.: UnrealStereo: Controlling Hazardous Factors to Analyze Ster...
with: Quon, H.: Regularizing face verification nets for pain intensity regre...
with: Raju, A.: JSSR: A Joint Synthesis, Segmentation, and Registration Syst...
with: Ramanathan, V.: Weakly Supervised Instance Segmentation for Videos wit...
with: Ranganathan, A.: compositional approach to learning part-based models ...
with: Rangarajan, A.: bayesian network framework for relational shape matchi...
with: Rastegari, M.: ELASTIC: Improving CNNs With Dynamic Scaling Policies
with: Rehg, J.M.: Secrets of Salient Object Segmentation, The
with: Reiss, A.L.: Automated Extraction of the Cortical Sulci Based on a Sup...
with: Reiter, A.: Regularizing face verification nets for pain intensity reg...
with: Ren, S.: Simple Data Mixing Prior for Improving Self-Supervised Learni...
with: Ren, X.T.: Iterative Reorganization With Weak Spatial Constraints: Sol...
with: Ren, Z.: Improving Transferability of Adversarial Examples With Input ...
with: Ren, Z.: Scene-Domain Active Part Models for Object Representation
with: Ren, Z.: STFlow: Self-Taught Optical Flow Estimation Using Pseudo Labels
with: Ren, Z.: Unsupervised learning of optical flow with patch consistency ...
with: Rosenhahn, B.: Statistical and Geometrical Approaches to Visual Motion...
with: Rosenthal, D.: Deformable templates for feature extraction from medica...
with: Roth, H.: 3D Semi-Supervised Learning with Uncertainty-Aware Multi-Vie...
with: Roth, H.: C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Med...
with: Ruiz, N.: Simulated Adversarial Testing of Face Recognition Models
with: Schmidt, F.R.: Statistical and Geometrical Approaches to Visual Motion...
with: Schroff, F.: Auto-DeepLab: Hierarchical Neural Architecture Search for...
with: Sclaroff, S.: Simulated Adversarial Testing of Face Recognition Models
with: Sharon, E.: Efficient Multilevel Brain Tumor Segmentation With Integra...
with: She, Q.: Learning from Temporal Gradient for Semi-supervised Action Re...
with: Shen, J.Y.: DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Ob...
with: Shen, W.: 3D Coarse-to-Fine Framework for Volumetric Medical Image Seg...
with: Shen, W.: BNET: Batch Normalization With Enhanced Linear Transformation
with: Shen, W.: CP 2: Copy-Paste Contrastive Pretraining for Semantic Segmen...
with: Shen, W.: Deep Co-Training for Semi-Supervised Image Recognition
with: Shen, W.: Deep Differentiable Random Forests for Age Estimation
with: Shen, W.: Deep Distance Transform for Tubular Structure Segmentation i...
with: Shen, W.: Deep Regression Forests for Age Estimation
with: Shen, W.: Deeply Shape-guided Cascade for Instance Segmentation
with: Shen, W.: DeepSkeleton: Learning Multi-Task Scale-Associated Deep Side...
with: Shen, W.: External Attention Assisted Multi-Phase Splenic Vascular Inj...
with: Shen, W.: Few-Shot Image Recognition by Predicting Parameters from Act...
with: Shen, W.: Learning Inductive Attention Guidance for Partially Supervis...
with: Shen, W.: Multi-stage Multi-recursive-input Fully Convolutional Networ...
with: Shen, W.: PCL: Proposal Cluster Learning for Weakly Supervised Object ...
with: Shen, W.: Resisting Large Data Variations via Introspective Transforma...
with: Shen, W.: Robust Face Detection via Learning Small Faces on Hard Images
with: Shen, W.: ScaleNet: Guiding Object Proposal Generation in Supermarkets...
with: Shen, W.: Segmentation for Classification of Screening Pancreatic Neur...
with: Shen, W.: Semi-Supervised 3D Abdominal Multi-Organ Segmentation Via De...
with: Shen, W.: Single-Shot Object Detection with Enriched Semantics
with: Shen, W.: Synthesize Then Compare: Detecting Failures and Anomalies fo...
with: Shen, X.: Joint Object and Part Segmentation Using Deep Learned Potent...
with: Shen, X.H.: Recurrent Multimodal Interaction for Referring Image Segme...
with: Shen, X.H.: Regional Homogeneity: Towards Learning Transferable Univer...
with: Shen, X.H.: Towards unified depth and semantic prediction from a singl...
with: Shim, B.: Learning from Synthetic Vehicles
with: Shlens, J.: Progressive Neural Architecture Search
with: Sinha, U.: Efficient Multilevel Brain Tumor Segmentation With Integrat...
with: Snow, D.: Determining Generative Models of Objects Under Varying Illum...
with: Snow, D.: Efficient Deformable Template Detection and Localization wit...
with: Snow, D.: Efficient Optimization of a Deformable Template Using Dynami...
with: Snow, D.: Shape and Albedo from Multiple Images Using Integrability
with: Snow, D.: Signfinder: Using Color to Detect, Localize and Identify Inf...
with: Sohn, K.: CReST: A Class-Rebalancing Self-Training Framework for Imbal...
with: Stengel Eskin, E.: Calibrating Concepts and Operations: Towards Symbol...
with: Stengel Eskin, E.: Super-CLEVR: A Virtual Benchmark to Diagnose Domain...
with: Su, C.: Iterative Reorganization With Weak Spatial Constraints: Solvin...
with: Su, C.: Snapshot Distillation: Teacher-Student Optimization in One Gen...
with: Sun, L.: Object as Hotspots: An Anchor-free 3d Object Detection Approa...
with: Sun, S.W.: Label-Free Liver Tumor Segmentation
with: Sun, S.Y.: TransMix: Attend to Mix for Vision Transformers
with: Sun, Y.H.: Amodal Segmentation through Out-of-Task and Out-of-Distribu...
with: Sun, Y.H.: Compositional Convolutional Neural Networks: A Robust and I...
with: Sun, Y.H.: Robust Instance Segmentation through Reasoning about Multi-...
with: Sun, Y.H.: Robust Object Detection Under Occlusion With Context-Aware ...
with: Szeliski, R.S.: Impossible Shaded Images
with: Taaffe, J.: Deformable templates for feature extraction from medical i...
with: Tai, Y.W.: Adversarial Attacks Beyond the Image Space
with: Tan, M.: Adversarial Examples Improve Image Recognition
with: Tan, M.X.: DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Obj...
with: Tan, Y.: Coarse-To-Fine Incremental Few-Shot Learning
with: Tan, Y.: Imbalanced regression for intensity series of pain expression...
with: Tang, C.K.: Adversarial Attacks Beyond the Image Space
with: Tang, P.: Learning Inductive Attention Guidance for Partially Supervis...
with: Tang, P.: PCL: Proposal Cluster Learning for Weakly Supervised Object ...
with: Tang, P.: Semi-Supervised 3D Abdominal Multi-Organ Segmentation Via De...
with: Tang, P.: Weakly Supervised Region Proposal Network and Object Detection
with: Tang, Y.C.: CLIP-Driven Universal Model for Organ Segmentation and Tum...
with: Tarlow, D.: Empirical Minimum Bayes Risk Prediction
with: Tarlow, D.: Empirical Minimum Bayes Risk Prediction: How to Extract an...
with: Taylor, R.H.: Context-Enhanced Stereo Transformer
with: Thompson, P.M.: Automated Extraction of the Cortical Sulci Based on a ...
with: Tian, J.W.: Robust Estimation of Nonrigid Transformation for Point Set...
with: Tian, J.W.: Robust Point Matching via Vector Field Consensus
with: Tian, Q.: Geometric Neural Phrase Pooling: Modeling the Spatial Co-Occ...
with: Tian, Q.: InterActive: Inter-Layer Activeness Propagation
with: Tian, Q.: Iterative Reorganization With Weak Spatial Constraints: Solv...
with: Tian, Q.: SORT: Second-Order Response Transform for Visual Recognition
with: Tian, Y.: Resisting Large Data Variations via Introspective Transforma...
with: Toga, A.W.: Automated Extraction of the Cortical Sulci Based on a Supe...
with: Torr, P.H.S.: Occluded Video Instance Segmentation: A Benchmark
with: Torr, P.H.S.: OVIS: Occluded Video Instance Segmentation
with: Torr, P.H.S.: TransMix: Attend to Mix for Vision Transformers
with: Torralba, A.B.: Part and appearance sharing: Recursive Compositional M...
with: Toshev, A.: Generation and Comprehension of Unambiguous Object Descrip...
with: Tran, Q.: Calibrating Concepts and Operations: Towards Symbolic Reason...
with: Tran, Q.: Context-Aware Group Captioning via Self-Attention and Contra...
with: Tran, T.D.: Regularizing face verification nets for pain intensity reg...
with: Tu, Z.W.: Automated Extraction of the Cortical Sulci Based on a Superv...
with: Tu, Z.W.: Detecting Object Boundaries Using Low-, Mid-, and High-level...
with: Tu, Z.W.: Graph-shifts: Natural image labeling by dynamic hierarchical...
with: Tu, Z.W.: Image Parsing: Unifying Segmentation, Detection, and Recogni...
with: Tu, Z.W.: MRF Labeling with a Graph-Shifts Algorithm
with: Tu, Z.W.: Robust Estimation of Nonrigid Transformation for Point Set R...
with: Tu, Z.W.: Robust Point Matching via Vector Field Consensus
with: Tu, Z.W.: Scale-Space SIFT flow
with: Tu, Z.W.: Shape Matching and Recognition: Using Generative Models and ...
with: Tu, Z.W.: Shape matching and registration by data-driven EM
with: Ullman, S.: Rigidity and Smoothness of Motion
with: Unberath, M.: Context-Enhanced Stereo Transformer
with: Urtasun, R.: Bottom-Up Segmentation for Top-Down Detection
with: Urtasun, R.: Detect What You Can: Detecting and Representing Objects U...
with: Urtasun, R.: Human-Machine CRFs for Identifying Bottlenecks in Scene U...
with: Urtasun, R.: Role of Context for Object Detection and Semantic Segment...
with: van der Maaten, L.: Feature Denoising for Improving Adversarial Robust...
with: van Durme, B.: Calibrating Concepts and Operations: Towards Symbolic R...
with: van Durme, B.: Super-CLEVR: A Virtual Benchmark to Diagnose Domain Rob...
with: Vasconcelos, N.M.: A-SDF: Learning Disentangled Signed Distance Functi...
with: Vedaldi, A.: Editorial: Deep Learning for Computer Vision
with: Verri, A.: Perspective Projection Invariants
with: Vincent, L.: Statistical Morphology and Bayesian Reconstruction
with: Voorhees, H.: Regularized Solution to Edge Detection, A
with: Wan, Q.: Coarse-To-Fine Incremental Few-Shot Learning
with: Wang, A.: CoKe: Contrastive Learning for Robust Keypoint Detection
with: Wang, A.: Robust Category-Level 6D Pose Estimation with Coarse-to-Fine...
with: Wang, A.: Weakly Supervised Region Proposal Network and Object Detection
with: Wang, A.T.: Compositional Convolutional Neural Networks: A Robust and ...
with: Wang, A.T.: OOD-CV: A Benchmark for Robustness to Out-of-Distribution ...
with: Wang, A.T.: Robust Object Detection Under Occlusion With Context-Aware...
with: Wang, B.: Deep Co-Training for Semi-Supervised Image Recognition
with: Wang, B.: Deep Differentiable Random Forests for Age Estimation
with: Wang, B.: Deep Regression Forests for Age Estimation
with: Wang, B.: Multi-stage Multi-recursive-input Fully Convolutional Networ...
with: Wang, B.: Robust Face Detection via Learning Small Faces on Hard Images
with: Wang, B.: Single-Shot Object Detection with Enriched Semantics
with: Wang, C.: Prior-Aware Neural Network for Partially-Supervised Multi-Or...
with: Wang, C.: Scene-Domain Active Part Models for Object Representation
with: Wang, C.Y.: Approach to Pose-Based Action Recognition, An
with: Wang, C.Y.: Learning to Refine 3D Human Pose Sequences
with: Wang, C.Y.: Mining 3D Key-Pose-Motifs for Action Recognition
with: Wang, C.Y.: Robust Estimation of 3D Human Poses from a Single Image
with: Wang, F.: CP 2: Copy-Paste Contrastive Pretraining for Semantic Segmen...
with: Wang, F.: Imbalanced regression for intensity series of pain expressio...
with: Wang, F.: Regularizing face verification nets for pain intensity regre...
with: Wang, H.Y.: Axial-Deeplab: Stand-alone Axial-Attention for Panoptic Se...
with: Wang, H.Y.: Combining Compositional Models and Deep Networks For Robus...
with: Wang, H.Y.: CP 2: Copy-Paste Contrastive Pretraining for Semantic Segm...
with: Wang, H.Y.: ELASTIC: Improving CNNs With Dynamic Scaling Policies
with: Wang, H.Y.: In Defense of Image Pre-Training for Spatiotemporal Recogn...
with: Wang, H.Y.: k-means Mask Transformer
with: Wang, H.Y.: Localizing Occluders with Compositional Convolutional Netw...
with: Wang, H.Y.: MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Tr...
with: Wang, H.Y.: Semantic-Aware Knowledge Preservation for Zero-Shot Sketch...
with: Wang, H.Y.: Simple Data Mixing Prior for Improving Self-Supervised Lea...
with: Wang, J.: Adversarial Examples for Semantic Segmentation and Object De...
with: Wang, J.: Adversarial Examples Improve Image Recognition
with: Wang, J.: Attention to Scale: Scale-Aware Semantic Image Segmentation
with: Wang, J.: DeepVoting: A Robust and Explainable Deep Network for Semant...
with: Wang, J.: Learning Like a Child: Fast Novel Visual Concept Learning fr...
with: Wang, J.D.: Geometric Neural Phrase Pooling: Modeling the Spatial Co-O...
with: Wang, J.D.: InterActive: Inter-Layer Activeness Propagation
with: Wang, J.Y.: Improving Transferability of Adversarial Examples With Inp...
with: Wang, J.Y.: Semantic part segmentation using compositional model combi...
with: Wang, P.: DOC: Deep OCclusion Estimation from a Single Image
with: Wang, P.: Error Factor Analysis for Wild Scene Image-Labelling
with: Wang, P.: Every Pixel Counts ++: Joint Learning of Geometry and Motion...
with: Wang, P.: Joint Multi-person Pose Estimation and Semantic Part Segment...
with: Wang, P.: Joint Object and Part Segmentation Using Deep Learned Potent...
with: Wang, P.: Towards unified depth and semantic prediction from a single ...
with: Wang, P.: Zoom Better to See Clearer: Human and Object Parsing with Hi...
with: Wang, X.: Multi-context Attention for Human Pose Estimation
with: Wang, X.G.: Editorial: Deep Learning for Computer Vision
with: Wang, X.G.: Occluded Video Instance Segmentation: A Benchmark
with: Wang, X.G.: OVIS: Occluded Video Instance Segmentation
with: Wang, X.G.: PCL: Proposal Cluster Learning for Weakly Supervised Objec...
with: Wang, X.G.: Scale-Space SIFT flow
with: Wang, X.G.: Weakly Supervised Region Proposal Network and Object Detec...
with: Wang, X.L.: A-SDF: Learning Disentangled Signed Distance Functions for...
with: Wang, Y.: Deep Differentiable Random Forests for Age Estimation
with: Wang, Y.: Deep Distance Transform for Tubular Structure Segmentation i...
with: Wang, Y.: Deep Regression Forests for Age Estimation
with: Wang, Y.: DeepSkeleton: Learning Multi-Task Scale-Associated Deep Side...
with: Wang, Y.: Every Pixel Counts ++: Joint Learning of Geometry and Motion...
with: Wang, Y.: External Attention Assisted Multi-Phase Splenic Vascular Inj...
with: Wang, Y.: Learning Inductive Attention Guidance for Partially Supervis...
with: Wang, Y.: Multi-scale Spatially-Asymmetric Recalibration for Image Cla...
with: Wang, Y.: Multi-stage Multi-recursive-input Fully Convolutional Networ...
with: Wang, Y.: Recurrent Saliency Transformation Network for Tiny Target Se...
with: Wang, Y.: Recurrent Saliency Transformation Network: Incorporating Mul...
with: Wang, Y.: Robust Face Detection via Learning Small Faces on Hard Images
with: Wang, Y.: Semi-Supervised 3D Abdominal Multi-Organ Segmentation Via De...
with: Wang, Y.: SORT: Second-Order Response Transform for Visual Recognition
with: Wang, Y.L.: Lite Vision Transformer with Enhanced Self-Attention
with: Wang, Y.L.: Mask Guided Matting via Progressive Refinement Network
with: Wang, Y.S.: Adversarial Attacks Beyond the Image Space
with: Wang, Y.Z.: Approach to Pose-Based Action Recognition, An
with: Wang, Y.Z.: Computing importance of 2D contour parts by reconstructabi...
with: Wang, Y.Z.: CRAVES: Controlling Robotic Arm With a Vision-Based Econom...
with: Wang, Y.Z.: Mining 3D Key-Pose-Motifs for Action Recognition
with: Wang, Y.Z.: Robust Estimation of 3D Human Poses from a Single Image
with: Wang, Y.Z.: Shape Reconstructability Measure of Object Part Importance...
with: Wang, Z.: Context-Enhanced Stereo Transformer
with: Wang, Z.X.: Object as Hotspots: An Anchor-free 3d Object Detection App...
with: Wei, C.: CP 2: Copy-Paste Contrastive Pretraining for Semantic Segment...
with: Wei, C.: CReST: A Class-Rebalancing Self-Training Framework for Imbala...
with: Wei, C.: In Defense of Image Pre-Training for Spatiotemporal Recognition
with: Wei, C.: Iterative Reorganization With Weak Spatial Constraints: Solvi...
with: Wei, C.: Masked Feature Prediction for Self-Supervised Visual Pre-Trai...
with: Wei, X.: Deep Distance Transform for Tubular Structure Segmentation in...
with: Wei, X.: Learning Like a Child: Fast Novel Visual Concept Learning fro...
with: Wei, X.Y.: Nuisance-Label Supervision: Robustness Improvement by Free ...
with: Wei, Z.J.: Lite Vision Transformer with Enhanced Self-Attention
with: Wong, A.: One Shot Learning via Compositions of Meaningful Patches
with: Wong, X.: Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustne...
with: Wu, C.Y.: Masked Feature Prediction for Self-Supervised Visual Pre-Tra...
with: Wu, J.F.: In Defense of Online Models for Video Instance Segmentation
with: Wu, Y.N.: Order Parameters for Detecting Target Curves in Images: When...
with: Wu, Y.N.: Order Parameters for Minimax Entropy Distributions: When doe...
with: Wu, Y.X.: Feature Denoising for Improving Adversarial Robustness
with: Xia, F.T.: Joint Multi-person Pose Estimation and Semantic Part Segmen...
with: Xia, F.T.: Zoom Better to See Clearer: Human and Object Parsing with H...
with: Xia, Y.: 3D Coarse-to-Fine Framework for Volumetric Medical Image Segm...
with: Xia, Y.: 3D Semi-Supervised Learning with Uncertainty-Aware Multi-View...
with: Xia, Y.: Iterative Reorganization With Weak Spatial Constraints: Solvi...
with: Xia, Y.D.: Alarm System for Segmentation Algorithm Based on Shape Mode...
with: Xia, Y.D.: Synthesize Then Compare: Detecting Failures and Anomalies f...
with: Xiang, T.: SQUID: Deep Feature In-Painting for Unsupervised Anomaly De...
with: Xiang, X.: Coarse-To-Fine Incremental Few-Shot Learning
with: Xiang, X.: Imbalanced regression for intensity series of pain expressi...
with: Xiang, X.: Regularizing face verification nets for pain intensity regr...
with: Xiao, J.: JSSR: A Joint Synthesis, Segmentation, and Registration Syst...
with: Xiao, J.F.: CLIP-Driven Universal Model for Organ Segmentation and Tum...
with: Xiao, J.F.: Delving into Masked Autoencoders for Multi-Label Thorax Di...
with: Xiao, J.F.: Label-Free Liver Tumor Segmentation
with: Xiao, J.F.: Learning from Temporal Gradient for Semi-supervised Action...
with: Xiao, Z.H.: Nuisance-Label Supervision: Robustness Improvement by Free...
with: Xie, C.: Adversarial Examples for Semantic Segmentation and Object Det...
with: Xie, C.: Adversarial Examples Improve Image Recognition
with: Xie, C.: Calibrating Concepts and Operations: Towards Symbolic Reasoni...
with: Xie, C.: DeepVoting: A Robust and Explainable Deep Network for Semanti...
with: Xie, C.: Feature Denoising for Improving Adversarial Robustness
with: Xie, C.: Improving Transferability of Adversarial Examples With Input ...
with: Xie, C.: In Defense of Image Pre-Training for Spatiotemporal Recognition
with: Xie, C.: Neural Architecture Search for Lightweight Non-Local Networks
with: Xie, C.: Patchattack: A Black-box Texture-based Attack with Reinforcem...
with: Xie, C.: Simple Data Mixing Prior for Improving Self-Supervised Learni...
with: Xie, C.: Single-Shot Object Detection with Enriched Semantics
with: Xie, C.: Universal Physical Camouflage Attacks on Object Detectors
with: Xie, C.H.: BNET: Batch Normalization With Enhanced Linear Transformation
with: Xie, C.H.: Regional Homogeneity: Towards Learning Transferable Univers...
with: Xie, C.H.: Simulated Adversarial Testing of Face Recognition Models
with: Xie, L.: Adversarial Examples for Semantic Segmentation and Object Det...
with: Xie, L.: DeepVoting: A Robust and Explainable Deep Network for Semanti...
with: Xie, L.: Recurrent Saliency Transformation Network for Tiny Target Seg...
with: Xie, L.: Recurrent Saliency Transformation Network: Incorporating Mult...
with: Xie, L.X.: Adversarial Attacks Beyond the Image Space
with: Xie, L.X.: BNET: Batch Normalization With Enhanced Linear Transformation
with: Xie, L.X.: CRAVES: Controlling Robotic Arm With a Vision-Based Economi...
with: Xie, L.X.: Elastic Boundary Projection for 3D Medical Image Segmentation
with: Xie, L.X.: Genetic CNN
with: Xie, L.X.: Geometric Neural Phrase Pooling: Modeling the Spatial Co-Oc...
with: Xie, L.X.: Iterative Reorganization With Weak Spatial Constraints: Sol...
with: Xie, L.X.: Multi-scale Spatially-Asymmetric Recalibration for Image Cl...
with: Xie, L.X.: Semantic Part Detection via Matching: Learning to Generaliz...
with: Xie, L.X.: Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-...
with: Xie, L.X.: Snapshot Distillation: Teacher-Student Optimization in One ...
with: Xie, L.X.: SORT: Second-Order Response Transform for Visual Recognition
with: Xie, S.: Masked Feature Prediction for Self-Supervised Visual Pre-Trai...
with: Xie, S.N.: Are Labels Necessary for Neural Architecture Search?
with: Xiong, H.K.: BNET: Batch Normalization With Enhanced Linear Transforma...
with: Xu, D.: 3D Semi-Supervised Learning with Uncertainty-Aware Multi-View ...
with: Xu, D.G.: Alarm System for Segmentation Algorithm Based on Shape Model...
with: Xu, D.G.: C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Med...
with: Xu, D.G.: V-NAS: Neural Architecture Search for Volumetric Medical Ima...
with: Xu, N.: Mask Guided Matting via Progressive Refinement Network
with: Xu, W.: Attention to Scale: Scale-Aware Semantic Image Segmentation
with: Xu, W.: Every Pixel Counts ++: Joint Learning of Geometry and Motion w...
with: Xu, Y.H.: BNET: Batch Normalization With Enhanced Linear Transformation
with: Yan, J.C.: STFlow: Self-Taught Optical Flow Estimation Using Pseudo La...
with: Yan, J.C.: Unsupervised learning of optical flow with patch consistenc...
with: Yan, S.C.: Editorial: Deep Learning for Computer Vision
with: Yan, S.C.: Towards Unified Object Detection and Semantic Segmentation
with: Yan, Y.L.: Weakly Supervised Region Proposal Network and Object Detect...
with: Yang, C.: PartImageNet: A Large, High-Quality Dataset of Parts
with: Yang, C.L.: Lite Vision Transformer with Enhanced Self-Attention
with: Yang, C.L.: Patchattack: A Black-box Texture-based Attack with Reinfor...
with: Yang, C.L.: Snapshot Distillation: Teacher-Student Optimization in One...
with: Yang, D.: 3D Semi-Supervised Learning with Uncertainty-Aware Multi-Vie...
with: Yang, D.: Alarm System for Segmentation Algorithm Based on Shape Model...
with: Yang, D.: C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Med...
with: Yang, D.: V-NAS: Neural Architecture Search for Volumetric Medical Ima...
with: Yang, F.: CReST: A Class-Rebalancing Self-Training Framework for Imbal...
with: Yang, J.M.: Recurrent Multimodal Interaction for Referring Image Segme...
with: Yang, L.: Neural Architecture Search for Lightweight Non-Local Networks
with: Yang, S.: PartImageNet: A Large, High-Quality Dataset of Parts
with: Yang, S.K.: PartImageNet: A Large, High-Quality Dataset of Parts
with: Yang, W.: Multi-context Attention for Human Pose Estimation
with: Yang, X.D.: Exploring Simple 3D Multi-Object Tracking for Autonomous D...
with: Yang, X.D.: Self-Supervised Pillar Motion Learning for Autonomous Driv...
with: Yang, X.K.: STFlow: Self-Taught Optical Flow Estimation Using Pseudo L...
with: Yang, X.K.: Unsupervised learning of optical flow with patch consisten...
with: Yang, Y.: Attention to Scale: Scale-Aware Semantic Image Segmentation
with: Yang, Y.: Learning Like a Child: Fast Novel Visual Concept Learning fr...
with: Yang, Y.: Sources from Shading
with: Yang, Y.B.: Grouping Iso-Velocity Points for Ego-Motion Recovery
with: Yang, Y.B.: Local, Global, and Multilevel Stereo Matching
with: Yang, Y.B.: Multilevel Enhancement and Detection of Stereo Disparity S...
with: Yang, Y.K.: Context-Enhanced Stereo Transformer
with: Yang, Z.: Weakly Supervised Instance Segmentation for Videos with Temp...
with: Yang, Z.H.: Every Pixel Counts ++: Joint Learning of Geometry and Moti...
with: Ye, X.Y.: Learning a dictionary of deformable patches using GPUs
with: Ye, X.Y.: Structure-perceptron learning of a hierarchical log-linear m...
with: Yu, A.W.: DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Obje...
with: Yu, L.: 3D Semi-Supervised Learning with Uncertainty-Aware Multi-View ...
with: Yu, M.X.: OOD-CV: A Benchmark for Robustness to Out-of-Distribution Sh...
with: Yu, Q.: Neural Architecture Search for Lightweight Non-Local Networks
with: Yu, Q.: Recurrent Saliency Transformation Network for Tiny Target Segm...
with: Yu, Q.: Recurrent Saliency Transformation Network: Incorporating Multi...
with: Yu, Q.H.: C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Med...
with: Yu, Q.H.: Compositor: Bottom-Up Clustering and Compositing for Robust ...
with: Yu, Q.H.: k-means Mask Transformer
with: Yu, Q.H.: Mask Guided Matting via Progressive Refinement Network
with: Yu, Q.H.: PartImageNet: A Large, High-Quality Dataset of Parts
with: Yu, S.Z.: OOD-CV: A Benchmark for Robustness to Out-of-Distribution Sh...
with: Yuan, X.D.: Learning Part Segmentation through Unsupervised Domain Ada...
with: Yuan, X.D.: PartImageNet: A Large, High-Quality Dataset of Parts
with: Yuan, X.D.: Robust Instance Segmentation through Reasoning about Multi...
with: Yuan, Y.X.: CLIP-Driven Universal Model for Organ Segmentation and Tum...
with: Zeng, W.J.: Learning to Refine 3D Human Pose Sequences
with: Zeng, X.H.: Adversarial Attacks Beyond the Image Space
with: Zha, H.Y.: STFlow: Self-Taught Optical Flow Estimation Using Pseudo La...
with: Zha, H.Y.: Unsupervised learning of optical flow with patch consistenc...
with: Zhang, C.Y.: SQUID: Deep Feature In-Painting for Unsupervised Anomaly ...
with: Zhang, C.Y.: SwapMix: Diagnosing and Regularizing the Over-Reliance on...
with: Zhang, H.: Lite Vision Transformer with Enhanced Self-Attention
with: Zhang, H.: Mask Guided Matting via Progressive Refinement Network
with: Zhang, H.J.: Unsupervised learning of probabilistic object models (POM...
with: Zhang, H.J.: Unsupervised Learning of Probabilistic Object Models (POM...
with: Zhang, J.M.: Lite Vision Transformer with Enhanced Self-Attention
with: Zhang, J.M.: Mask Guided Matting via Progressive Refinement Network
with: Zhang, J.M.: Neural Rejuvenation: Improving Deep Network Training by E...
with: Zhang, L.: Guest Editorial Introduction to the Special Issue on Large ...
with: Zhang, L.: Learning from Temporal Gradient for Semi-supervised Action ...
with: Zhang, T.: Image Warping for Shape Recovery and Recognition
with: Zhang, T.: Relating image warping to 3D geometrical deformations
with: Zhang, T.: Surface Shape from Warping
with: Zhang, W.J.: Multi-scale Spatially-Asymmetric Recalibration for Image ...
with: Zhang, W.J.: Progressive Stage-wise Learning for Unsupervised Feature ...
with: Zhang, W.J.: SORT: Second-Order Response Transform for Visual Recognit...
with: Zhang, Y.: Explicit Occlusion Reasoning for Multi-person 3D Human Pose...
with: Zhang, Y.: Multi-scale Spatially-Asymmetric Recalibration for Image Cl...
with: Zhang, Y.: Nuisance-Label Supervision: Robustness Improvement by Free ...
with: Zhang, Y.: SORT: Second-Order Response Transform for Visual Recognition
with: Zhang, Y.: Synthesize Then Compare: Detecting Failures and Anomalies f...
with: Zhang, Y.: UnrealStereo: Controlling Hazardous Factors to Analyze Ster...
with: Zhang, Y.J.: Deep Networks Under Scene-Level Supervision for Multi-Cla...
with: Zhang, Y.N.: Modeling deformable gradient compositions for single-imag...
with: Zhang, Y.N.: Single Image Super-resolution Using Deformable Patches
with: Zhang, Y.X.: C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D ...
with: Zhang, Y.X.: Calibrating Concepts and Operations: Towards Symbolic Rea...
with: Zhang, Y.X.: CLIP-Driven Universal Model for Organ Segmentation and Tu...
with: Zhang, Y.X.: SQUID: Deep Feature In-Painting for Unsupervised Anomaly ...
with: Zhang, Z.: Adversarial Examples for Semantic Segmentation and Object D...
with: Zhang, Z.: DeepVoting: A Robust and Explainable Deep Network for Seman...
with: Zhang, Z.: Single-Shot Object Detection with Enriched Semantics
with: Zhang, Z.S.: Combining Compositional Models and Deep Networks For Robu...
with: Zhang, Z.S.: Deep Co-Training for Semi-Supervised Image Recognition
with: Zhang, Z.S.: Improving Transferability of Adversarial Examples With In...
with: Zhang, Z.S.: Learning Part Segmentation through Unsupervised Domain Ad...
with: Zhang, Z.S.: Localizing Occluders with Compositional Convolutional Net...
with: Zhang, Z.S.: Robust Face Detection via Learning Small Faces on Hard Im...
with: Zhao, B.C.: OOD-CV: A Benchmark for Robustness to Out-of-Distribution ...
with: Zhao, J.: Non-Rigid Point Set Registration by Preserving Global and Lo...
with: Zhao, J.: Robust Estimation of Nonrigid Transformation for Point Set R...
with: Zhao, J.: Robust Point Matching via Vector Field Consensus
with: Zhao, K.: Deep Differentiable Random Forests for Age Estimation
with: Zhao, K.: Deep Regression Forests for Age Estimation
with: Zhao, K.: DeepSkeleton: Learning Multi-Task Scale-Associated Deep Side...
with: Zhao, M.B.: NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by N...
with: Zhao, Y.: Resisting Large Data Variations via Introspective Transforma...
with: Zheng, H.J.: Elastic Boundary Projection for 3D Medical Image Segmenta...
with: Zheng, S.F.: Automated Extraction of the Cortical Sulci Based on a Sup...
with: Zheng, S.F.: Detecting Object Boundaries Using Low-, Mid-, and High-le...
with: Zheng, S.F.: Shape matching and registration by data-driven EM
with: Zheng, Y.: Semantic Part Detection via Matching: Learning to Generaliz...
with: Zhong, F.W.: CRAVES: Controlling Robotic Arm With a Vision-Based Econo...
with: Zhou, D.: DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Obje...
with: Zhou, Y.: Adversarial Examples for Semantic Segmentation and Object De...
with: Zhou, Y.: Deep Distance Transform for Tubular Structure Segmentation i...
with: Zhou, Y.: In Defense of Image Pre-Training for Spatiotemporal Recognit...
with: Zhou, Y.: Neural Architecture Search for Lightweight Non-Local Networks
with: Zhou, Y.: Recurrent Saliency Transformation Network for Tiny Target Se...
with: Zhou, Y.: Recurrent Saliency Transformation Network: Incorporating Mul...
with: Zhou, Y.: Universal Physical Camouflage Attacks on Object Detectors
with: Zhou, Y.Y.: External Attention Assisted Multi-Phase Splenic Vascular I...
with: Zhou, Y.Y.: Improving Transferability of Adversarial Examples With Inp...
with: Zhou, Y.Y.: Learning Inductive Attention Guidance for Partially Superv...
with: Zhou, Y.Y.: Prior-Aware Neural Network for Partially-Supervised Multi-...
with: Zhou, Y.Y.: Semi-Supervised 3D Abdominal Multi-Organ Segmentation Via ...
with: Zhou, Y.Y.: Simple Data Mixing Prior for Improving Self-Supervised Lea...
with: Zhou, Z.: CLIP-Driven Universal Model for Organ Segmentation and Tumor...
with: Zhou, Z.: Delving into Masked Autoencoders for Multi-Label Thorax Dise...
with: Zhou, Z.: SQUID: Deep Feature In-Painting for Unsupervised Anomaly Det...
with: Zhou, Z.W.: Label-Free Liver Tumor Segmentation
with: Zhou, Z.W.: Learning from Temporal Gradient for Semi-supervised Action...
with: Zhu, J.: Active Patch Model for Real World Texture and Appearance Clas...
with: Zhu, L.: Recursive compositional models: Representation, learning, and...
with: Zhu, L.L.: Active Mask Hierarchies for Object Detection
with: Zhu, L.L.: Latent hierarchical structural learning for object detection
with: Zhu, L.L.: Learning a Hierarchical Deformable Template for Rapid Defor...
with: Zhu, L.L.: Max Margin AND/OR Graph learning for parsing the human body
with: Zhu, L.L.: Max Margin Learning of Hierarchical Configural Deformable T...
with: Zhu, L.L.: Part and appearance sharing: Recursive Compositional Models...
with: Zhu, L.L.: Recursive Compositional Models for Vision: Description and ...
with: Zhu, L.L.: Recursive Segmentation and Recognition Templates for Image ...
with: Zhu, L.L.: Structure-perceptron learning of a hierarchical log-linear ...
with: Zhu, L.L.: Unsupervised Learning of Probabilistic Grammar-Markov Model...
with: Zhu, L.L.: Unsupervised learning of probabilistic object models (POMs)...
with: Zhu, L.L.: Unsupervised Learning of Probabilistic Object Models (POMs)...
with: Zhu, L.L.: Unsupervised Structure Learning: Hierarchical Recursive Com...
with: Zhu, S.C.: FORMS: A Flexible Object Recognition and Modelling System
with: Zhu, S.C.: framework for shape representation and recognition, A
with: Zhu, S.C.: Fundamental Bounds on Edge Detection: An Information Theore...
with: Zhu, S.C.: Guest Editorial: Statistical and Computational Theories of ...
with: Zhu, S.C.: Image Parsing: Unifying Segmentation, Detection, and Recogn...
with: Zhu, S.C.: Order Parameters for Detecting Target Curves in Images: Whe...
with: Zhu, S.C.: Order Parameters for Minimax Entropy Distributions: When do...
with: Zhu, S.C.: Region Competition and its Analysis: A Unified Theory for I...
with: Zhu, S.C.: Region Competition: Unifying Snakes, Region Growing, and Ba...
with: Zhu, S.C.: Statistical edge detection: learning and evaluating edge cues
with: Zhu, Y.: Modeling deformable gradient compositions for single-image su...
with: Zhu, Y.: Region-based temporally consistent video post-processing
with: Zhu, Y.: Single Image Super-resolution Using Deformable Patches
with: Zhu, Y.K.: Axial-Deeplab: Stand-alone Axial-Attention for Panoptic Seg...
with: Zhu, Y.K.: k-means Mask Transformer
with: Zhu, Y.K.: MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Tra...
with: Zhu, Y.K.: ViP-DeepLab: Learning Visual Perception with Depth-aware Vi...
with: Zhu, Z.: 3D Coarse-to-Fine Framework for Volumetric Medical Image Segm...
with: Zhu, Z.: 3D Semi-Supervised Learning with Uncertainty-Aware Multi-View...
with: Zhu, Z.: Segmentation for Classification of Screening Pancreatic Neuro...
with: Zhu, Z.T.: V-NAS: Neural Architecture Search for Volumetric Medical Im...
with: Zoph, B.: Progressive Neural Architecture Search
with: Zou, C.: Universal Physical Camouflage Attacks on Object Detectors
with: Zuo, W.: Guest Editorial Introduction to the Special Issue on Large Sc...
with: Zuo, Y.M.: CRAVES: Controlling Robotic Arm With a Vision-Based Economi...
1031 for Yuille, A.L.
Yuille, A.Y.
Standard Author Listing
with: Adam, H.: CMT-DeepLab: Clustering Mask Transformers for Panoptic Segme...
with: Chen, L.C.: CMT-DeepLab: Clustering Mask Transformers for Panoptic Seg...
with: Collins, M.: CMT-DeepLab: Clustering Mask Transformers for Panoptic Se...
with: He, X.M.: Occlusion Boundary Detection Using Pseudo-depth
with: Kim, D.: CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmen...
with: Qiao, S.Y.: CMT-DeepLab: Clustering Mask Transformers for Panoptic Seg...
with: Wang, H.Y.: CMT-DeepLab: Clustering Mask Transformers for Panoptic Seg...
with: Yu, Q.H.: CMT-DeepLab: Clustering Mask Transformers for Panoptic Segme...
with: Zhu, Y.K.: CMT-DeepLab: Clustering Mask Transformers for Panoptic Segm...
9 for Yuille, A.Y.