Urtasun, I.
Standard Author Listing
with: Cabeza, R.: Fast and robust ellipse detection algorithm for head-mount...
with: Larumbe, A.: Fast and robust ellipse detection algorithm for head-moun...
with: Martinikorena, I.: Fast and robust ellipse detection algorithm for hea...
with: Villanueva, A.: Fast and robust ellipse detection algorithm for head-m...
Urtasun, R.
Standard Author Listing
with: Agro, B.: Implicit Occupancy Flow Fields for Perception and Prediction...
with: Auer, S.: Exploiting Deep Matching and SAR Data for the Geo-Localizati...
with: Bai, M.: Deep Watershed Transform for Instance Segmentation
with: Bai, M.: Exploiting Semantic Information and Deep Matching for Optical...
with: Bai, M.: Learning Deep Structured Active Contours End-to-End
with: Bai, M.: TorontoCity: Seeing the World with a Million Eyes
with: Bai, M.: UPSNet: A Unified Panoptic Segmentation Network
with: Bansal, M.: What Are You Talking About? Text-to-Image Coreference
with: Barsan, I.A.: Deep Multi-Task Learning for Joint Localization, Percept...
with: Barsan, I.A.: Learning to Localize Through Compressed Binary Maps
with: Barsan, I.A.: Permute, Quantize, and Fine-tune: Efficient Compression ...
with: Barsan, I.A.: Towards Zero Domain Gap: A Comprehensive Study of Realis...
with: Bloch, I.: Segmentation of 3D Head MR Images Using Morphological Recon...
with: Bloch, I.: Topologically controlled segmentation of 3D magnetic resona...
with: Boben, M.: Real-time coarse-to-fine topologically preserving segmentat...
with: Brubaker, M.A.: Lost! Leveraging the Crowd for Probabilistic Visual Se...
with: Brubaker, M.A.: Map-Based Probabilistic Visual Self-Localization
with: Casas, S.: AdvSim: Generating Safety-Critical Scenarios for Self-Drivi...
with: Casas, S.: Deep Multi-Task Learning for Joint Localization, Perception...
with: Casas, S.: End-To-End Interpretable Neural Motion Planner
with: Casas, S.: Implicit Latent Variable Model for Scene-consistent Motion ...
with: Casas, S.: Implicit Occupancy Flow Fields for Perception and Predictio...
with: Casas, S.: LookOut: Diverse Multi-Future Prediction and Planning for S...
with: Casas, S.: MemorySeg: Online LiDAR Semantic Segmentation with a Latent...
with: Casas, S.: MIXSIM: A Hierarchical Framework for Mixed Reality Traffic ...
with: Casas, S.: MP3: A Unified Model to Map, Perceive, Predict and Plan
with: Casas, S.: Perceive, Predict, and Plan: Safe Motion Planning Through I...
with: Casas, S.: PnPNet: End-to-End Perception and Prediction With Tracking ...
with: Casas, S.: Radarnet: Exploiting Radar for Robust Perception of Dynamic...
with: Casas, S.: Towards Unsupervised Object Detection from LiDAR Point Clouds
with: Casas, S.: TrafficSim: Learning to Simulate Realistic Multi-Agent Beha...
with: Castrejon, L.: Annotating Object Instances with a Polygon-RNN
with: Chen, L.C.: Beat the MTurkers: Automatic Image Labeling from Weak 3D S...
with: Chen, X.J.: Detect What You Can: Detecting and Representing Objects Us...
with: Chen, X.J.: Role of Context for Object Detection and Semantic Segmenta...
with: Chen, X.Z.: 3D Object Proposals Using Stereo Imagery for Accurate Obje...
with: Chen, X.Z.: Monocular 3D Object Detection for Autonomous Driving
with: Chen, Y.: Dsdnet: Deep Structured Self-driving Network
with: Chen, Y.: GeoSim: Realistic Video Simulation via Geometry-Aware Compos...
with: Chen, Y.: Learning Joint 2D-3D Representations for Depth Completion
with: Chen, Y.: Learning Lane Graph Representations for Motion Forecasting
with: Chen, Y.: Multi-Task Multi-Sensor Fusion for 3D Object Detection
with: Chen, Y.: PnPNet: End-to-End Perception and Prediction With Tracking i...
with: Chen, Y.: Real-Time Neural Rasterization for Large Scenes
with: Chen, Y.: UniSim: A Neural Closed-Loop Sensor Simulator
with: Cheng, D.: DARNet: Deep Active Ray Network for Building Segmentation
with: Cheng, F.: Physically Realizable Adversarial Examples for LiDAR Object...
with: Cheverie, J.: TorontoCity: Seeing the World with a Million Eyes
with: Cho, N.G.: Role of Context for Object Detection and Semantic Segmentat...
with: Christoudias, C.M.: Co-training with noisy perceptual observations
with: Christoudias, C.M.: Learning to Recognize Objects from Unseen Modalities
with: Christoudias, C.M.: Unsupervised feature selection via distributed cod...
with: Chu, H.: HouseCraft: Building Houses from Rental Ads and Street Views
with: Chu, H.: Single Image Intrinsic Decomposition Without a Single Intrins...
with: Chu, H.: SurfConv: Bridging 3D and 2D Convolution for RGBD Images
with: Chu, H.: TorontoCity: Seeing the World with a Million Eyes
with: Couprie, M.: Topologically controlled segmentation of 3D magnetic reso...
with: Cui, A.: LookOut: Diverse Multi-Future Prediction and Planning for Sel...
with: Cui, A.: MIXSIM: A Hierarchical Framework for Mixed Reality Traffic Si...
with: Dai, B.: Towards Diverse and Natural Image Descriptions via a Conditio...
with: Dai, B.B.: Rethinking Closed-Loop Training for Autonomous Driving
with: Darrell, T.J.: Active Learning with Gaussian Processes for Object Cate...
with: Darrell, T.J.: Co-training with noisy perceptual observations
with: Darrell, T.J.: Gaussian Processes for Object Categorization
with: Darrell, T.J.: Learning to Recognize Objects from Unseen Modalities
with: Darrell, T.J.: Rank Priors for Continuous Non-Linear Dimensionality Re...
with: Darrell, T.J.: Sparse probabilistic regression for activity-independen...
with: Darrell, T.J.: Supervised hierarchical Pitman-Yor process for natural ...
with: Darrell, T.J.: Transferring Nonlinear Representations using Gaussian P...
with: Darrell, T.J.: Unsupervised feature selection via distributed coding f...
with: Demirdjian, D.: Patch-Based Pose Inference with a Mixture of Density E...
with: Dhawan, P.: Conditional Entropy Coding for Efficient Video Compression
with: Dhawan, P.: Perceive, Predict, and Plan: Safe Motion Planning Through ...
with: Dokladal, P.: Segmentation of 3D Head MR Images Using Morphological Re...
with: Dokladal, P.: Topologically controlled segmentation of 3D magnetic res...
with: Du, R.: Physically Realizable Adversarial Examples for LiDAR Object De...
with: Duggal, S.: DeepPruner: Learning Efficient Stereo Matching via Differe...
with: Duggal, S.: GeoSim: Realistic Video Simulation via Geometry-Aware Comp...
with: Duggal, S.: Mending Neural Implicit Modeling for 3D Vehicle Reconstruc...
with: Fan, J.: DAGMapper: Learning to Map by Discovering Lane Topology
with: Feng, S.: Learning Lane Graph Representations for Motion Forecasting
with: Fidler, S.: 3D Graph Neural Networks for RGBD Semantic Segmentation
with: Fidler, S.: 3D Object Proposals Using Stereo Imagery for Accurate Obje...
with: Fidler, S.: Aligning Books and Movies: Towards Story-Like Visual Expla...
with: Fidler, S.: Analyzing Semantic Segmentation Using Hybrid Human-Machine...
with: Fidler, S.: Annotating Object Instances with a Polygon-RNN
with: Fidler, S.: Be Your Own Prada: Fashion Synthesis with Structural Coher...
with: Fidler, S.: Beat the MTurkers: Automatic Image Labeling from Weak 3D S...
with: Fidler, S.: Bottom-Up Segmentation for Top-Down Detection
with: Fidler, S.: Box in the Box: Joint 3D Layout and Object Reasoning from ...
with: Fidler, S.: DARNet: Deep Active Ray Network for Building Segmentation
with: Fidler, S.: Describing the scene as a whole: Joint object detection, s...
with: Fidler, S.: Detect What You Can: Detecting and Representing Objects Us...
with: Fidler, S.: DMM-Net: Differentiable Mask-Matching Network for Video Ob...
with: Fidler, S.: Enhancing Road Maps by Parsing Aerial Images Around the Wo...
with: Fidler, S.: Generating Multi-sentence Natural Language Descriptions of...
with: Fidler, S.: HD Maps: Fine-Grained Road Segmentation by Parsing Ground ...
with: Fidler, S.: High Performance CRF Model for Clothes Parsing, A
with: Fidler, S.: Holistic 3D scene understanding from a single geo-tagged i...
with: Fidler, S.: Holistic Scene Understanding for 3D Object Detection with ...
with: Fidler, S.: HouseCraft: Building Houses from Rental Ads and Street Views
with: Fidler, S.: Human-Machine CRFs for Identifying Bottlenecks in Scene Un...
with: Fidler, S.: Instance-Level Segmentation for Autonomous Driving with De...
with: Fidler, S.: Lost Shopping! Monocular Localization in Large Indoor Spaces
with: Fidler, S.: Monocular 3D Object Detection for Autonomous Driving
with: Fidler, S.: Monocular Object Instance Segmentation and Depth Ordering ...
with: Fidler, S.: MovieQA: Understanding Stories in Movies through Question-...
with: Fidler, S.: Neuroaesthetics in fashion: Modeling the perception of fas...
with: Fidler, S.: Real-time coarse-to-fine topologically preserving segmenta...
with: Fidler, S.: Rent3D: Floor-plan priors for monocular layout estimation
with: Fidler, S.: Role of Context for Object Detection and Semantic Segmenta...
with: Fidler, S.: segDeepM: Exploiting segmentation and context in deep neur...
with: Fidler, S.: Sentence Is Worth a Thousand Pixels, A
with: Fidler, S.: SGN: Sequential Grouping Networks for Instance Segmentation
with: Fidler, S.: Situation Recognition with Graph Neural Networks
with: Fidler, S.: Sports Field Localization via Deep Structured Models
with: Fidler, S.: SurfConv: Bridging 3D and 2D Convolution for RGBD Images
with: Fidler, S.: TorontoCity: Seeing the World with a Million Eyes
with: Fidler, S.: Towards Diverse and Natural Image Descriptions via a Condi...
with: Fidler, S.: Visual Semantic Search: Retrieving Videos via Complex Text...
with: Fidler, S.: What Are You Talking About? Text-to-Image Coreference
with: Fleet, D.J.: 3D People Tracking with Gaussian Process Dynamical Models
with: Fleet, D.J.: Modeling Human Locomotion with Topologically Constrained ...
with: Fleet, D.J.: Monocular 3-D Tracking of the Golf Swing
with: Fleet, D.J.: Priors for People Tracking from Small Training Sets
with: Fleet, D.J.: Temporal motion models for monocular and multiview 3D hum...
with: Fua, P.: 3D Human Body Tracking Using Deterministic Temporal Motion Mo...
with: Fua, P.: 3D People Tracking with Gaussian Process Dynamical Models
with: Fua, P.: 3D tracking for gait characterization and recognition
with: Fua, P.: automatic method for determining quaternion field boundaries ...
with: Fua, P.: constrained latent variable model, A
with: Fua, P.: Hierarchical implicit surface joint limits for human body tra...
with: Fua, P.: Hierarchical Implicit Surface Joint Limits to Constrain Video...
with: Fua, P.: Local deformation models for monocular 3D shape recovery
with: Fua, P.: Monocular 3-D Tracking of the Golf Swing
with: Fua, P.: Priors for People Tracking from Small Training Sets
with: Fua, P.: Temporal motion models for monocular and multiview 3D human b...
with: Gall, J.: Data-driven animation of hand-object interactions
with: Garnero, L.: Segmentation of 3D Head MR Images Using Morphological Rec...
with: Garnero, L.: Topologically controlled segmentation of 3D magnetic reso...
with: Geiger, A.: 3D Traffic Scene Understanding From Movable Platforms
with: Geiger, A.: Are we ready for autonomous driving? The KITTI vision benc...
with: Geiger, A.: Efficient Large-Scale Stereo Matching
with: Geiger, A.: FollowMe: Efficient Online Min-Cost Flow Tracking with Bou...
with: Geiger, A.: generative model for 3D urban scene understanding from mov...
with: Geiger, A.: Lost! Leveraging the Crowd for Probabilistic Visual Self-L...
with: Geiger, A.: Map-Based Probabilistic Visual Self-Localization
with: Geiger, A.: Rank Priors for Continuous Non-Linear Dimensionality Reduc...
with: Geiger, A.: Understanding High-Level Semantics by Modeling Traffic Pat...
with: Geiger, A.: Vision meets robotics: The KITTI dataset
with: Grauman, K.: Active Learning with Gaussian Processes for Object Catego...
with: Grauman, K.: Gaussian Processes for Object Categorization
with: Gu, J.Y.: Deep Feedback Inverse Problem Solver
with: Gu, J.Y.: Weakly-supervised 3d Shape Completion in the Wild
with: Gu, L.: DMM-Net: Differentiable Mask-Matching Network for Video Object...
with: Gulino, C.: Implicit Latent Variable Model for Scene-consistent Motion...
with: Guo, R.S.: Radarnet: Exploiting Radar for Robust Perception of Dynamic...
with: Guo, R.S.: Rethinking Closed-Loop Training for Autonomous Driving
with: Hamer, H.: Data-driven animation of hand-object interactions
with: Hanson, A.: automatic method for determining quaternion field boundari...
with: Hazan, T.: Continuous Markov Random Fields for Robust Stereo Estimation
with: Hazan, T.: Distributed message passing for large scale graphical models
with: Hazan, T.: Efficient structured prediction for 3D indoor scene underst...
with: Herda, L.: automatic method for determining quaternion field boundarie...
with: Herda, L.: Hierarchical implicit surface joint limits for human body t...
with: Herda, L.: Hierarchical Implicit Surface Joint Limits to Constrain Vid...
with: Hertzmann, A.: Priors for People Tracking from Small Training Sets
with: Homayounfar, N.: Convolutional Recurrent Network for Road Boundary Ext...
with: Homayounfar, N.: DAGMapper: Learning to Map by Discovering Lane Topology
with: Homayounfar, N.: Hierarchical Recurrent Attention Networks for Structu...
with: Homayounfar, N.: Levelset R-CNN: A Deep Variational Method for Instanc...
with: Homayounfar, N.: PolyTransform: Deep Polygon Transformer for Instance ...
with: Homayounfar, N.: Sports Field Localization via Deep Structured Models
with: Hu, H.: Dense Reppoints: Representing Visual Objects with Dense Point ...
with: Hu, R.: Conditional Entropy Coding for Efficient Video Compression
with: Hu, R.: Deep Rigid Instance Scene Flow
with: Hu, R.: DeepPruner: Learning Efficient Stereo Matching via Differentia...
with: Hu, R.: Learning Lane Graph Representations for Motion Forecasting
with: Hu, R.: Multi-Task Multi-Sensor Fusion for 3D Object Detection
with: Hu, R.: PnPNet: End-to-End Perception and Prediction With Tracking in ...
with: Hu, R.: PolyTransform: Deep Polygon Transformer for Instance Segmentat...
with: Hu, R.: Rethinking Closed-Loop Training for Autonomous Driving
with: Hu, R.: UPSNet: A Unified Panoptic Segmentation Network
with: Huang, L.: OctSqueeze: Octree-Structured Entropy Model for LiDAR Compr...
with: Huang, Z.: S3: Neural Shape, Skeleton, and Skinning Fields for 3D Huma...
with: Jia, J.: 3D Graph Neural Networks for RGBD Semantic Segmentation
with: Jia, J.: SGN: Sequential Grouping Networks for Instance Segmentation
with: Jia, J.Y.: GeoNet++: Iterative Geometric Neural Network with Edge-Awar...
with: Jia, J.Y.: GeoNet: Geometric Neural Network for Joint Depth and Surfac...
with: Jia, J.Y.: Situation Recognition with Graph Neural Networks
with: Jordan, M.: Supervised hierarchical Pitman-Yor process for natural sce...
with: Jordan, M.I.: Sufficient dimension reduction for visual sequence class...
with: Kan, C.: Estimating the 3D Layout of Indoor Scenes and Its Clutter fro...
with: Kapoor, A.: Active Learning with Gaussian Processes for Object Categor...
with: Kapoor, A.: Gaussian Processes for Object Categorization
with: Kapoorz, A.: Co-training with noisy perceptual observations
with: Kellenberger, B.: Learning Deep Structured Active Contours End-to-End
with: Kiros, R.: Aligning Books and Movies: Towards Story-Like Visual Explan...
with: Kong, C.: Generating Multi-sentence Natural Language Descriptions of I...
with: Kong, C.: Visual Semantic Search: Retrieving Videos via Complex Textua...
with: Kong, C.: What Are You Talking About? Text-to-Image Coreference
with: Kundu, K.: 3D Object Proposals Using Stereo Imagery for Accurate Objec...
with: Kundu, K.: Annotating Object Instances with a Polygon-RNN
with: Kundu, K.: Exploiting Semantic Information and Deep Matching for Optic...
with: Kundu, K.: Monocular 3D Object Detection for Autonomous Driving
with: Kundu, K.: Rent3D: Floor-plan priors for monocular layout estimation
with: Kundu, K.: SurfConv: Bridging 3D and 2D Convolution for RGBD Images
with: Lakshmikanth, S.K.: Hierarchical Recurrent Attention Networks for Stru...
with: Lauer, M.: 3D Traffic Scene Understanding From Movable Platforms
with: Lauer, M.: generative model for 3D urban scene understanding from mova...
with: Law, M.T.: Efficient Multiple Instance Metric Learning Using Weakly Su...
with: Lawrence, N.D.: Modeling Human Locomotion with Topologically Constrain...
with: Lawrence, N.D.: Transferring Nonlinear Representations using Gaussian ...
with: Lee, S.W.: Role of Context for Object Detection and Semantic Segmentat...
with: Lenz, P.: Are we ready for autonomous driving? The KITTI vision benchm...
with: Lenz, P.: FollowMe: Efficient Online Min-Cost Flow Tracking with Bound...
with: Lenz, P.: Vision meets robotics: The KITTI dataset
with: Li, E.: MemorySeg: Online LiDAR Semantic Segmentation with a Latent Me...
with: Li, R.: Situation Recognition with Graph Neural Networks
with: Liang, J.: Convolutional Recurrent Network for Road Boundary Extraction
with: Liang, J.: DAGMapper: Learning to Map by Discovering Lane Topology
with: Liang, J.: End-to-End Deep Structured Models for Drawing Crosswalks
with: Liang, J.: Levelset R-CNN: A Deep Variational Method for Instance Segm...
with: Liang, J.: Mending Neural Implicit Modeling for 3D Vehicle Reconstruct...
with: Liang, J.: PolyTransform: Deep Polygon Transformer for Instance Segmen...
with: Liang, J.: TorontoCity: Seeing the World with a Million Eyes
with: Liang, M.: Deep Continuous Fusion for Multi-sensor 3D Object Detection
with: Liang, M.: Learning Joint 2D-3D Representations for Depth Completion
with: Liang, M.: Learning Lane Graph Representations for Motion Forecasting
with: Liang, M.: Multi-Task Multi-Sensor Fusion for 3D Object Detection
with: Liang, M.: Physically Realizable Adversarial Examples for LiDAR Object...
with: Liang, M.: PnPNet: End-to-End Perception and Prediction With Tracking ...
with: Liang, M.: Radarnet: Exploiting Radar for Robust Perception of Dynamic...
with: Liang, M.: Testing the Safety of Self-driving Vehicles by Simulating P...
with: Liang, M.: V2vnet: Vehicle-to-vehicle Communication for Joint Percepti...
with: Liao, R.: 3D Graph Neural Networks for RGBD Semantic Segmentation
with: Liao, R.: DMM-Net: Differentiable Mask-Matching Network for Video Obje...
with: Liao, R.: Learning Deep Structured Active Contours End-to-End
with: Liao, R.J.: DARNet: Deep Active Ray Network for Building Segmentation
with: Liao, R.J.: Dsdnet: Deep Structured Self-driving Network
with: Liao, R.J.: GeoNet++: Iterative Geometric Neural Network with Edge-Awa...
with: Liao, R.J.: GeoNet: Geometric Neural Network for Joint Depth and Surfa...
with: Liao, R.J.: Implicit Latent Variable Model for Scene-consistent Motion...
with: Liao, R.J.: Learning Lane Graph Representations for Motion Forecasting
with: Liao, R.J.: LookOut: Diverse Multi-Future Prediction and Planning for ...
with: Liao, R.J.: Situation Recognition with Graph Neural Networks
with: Liao, R.J.: Testing the Safety of Self-driving Vehicles by Simulating ...
with: Liao, R.J.: UPSNet: A Unified Panoptic Segmentation Network
with: Lin, D.: Be Your Own Prada: Fashion Synthesis with Structural Coherence
with: Lin, D.: Generating Multi-sentence Natural Language Descriptions of In...
with: Lin, D.: Holistic Scene Understanding for 3D Object Detection with RGB...
with: Lin, D.: Towards Diverse and Natural Image Descriptions via a Conditio...
with: Lin, D.: Visual Semantic Search: Retrieving Videos via Complex Textual...
with: Lin, D.: What Are You Talking About? Text-to-Image Coreference
with: Lin, S.: Dense Reppoints: Representing Visual Objects with Dense Point...
with: Liu, C.X.: Rent3D: Floor-plan priors for monocular layout estimation
with: Liu, J.: Conditional Entropy Coding for Efficient Video Compression
with: Liu, J.: DSIC: Deep Stereo Image Compression
with: Liu, J.: OctSqueeze: Octree-Structured Entropy Model for LiDAR Compres...
with: Liu, J.Y.: Real-Time Neural Rasterization for Large Scenes
with: Liu, S.: SGN: Sequential Grouping Networks for Instance Segmentation
with: Liu, T.W.: Permute, Quantize, and Fine-tune: Efficient Compression of ...
with: Liu, X.B.: Detect What You Can: Detecting and Representing Objects Usi...
with: Liu, X.B.: Role of Context for Object Detection and Semantic Segmentat...
with: Liu, Z.Z.: GeoNet++: Iterative Geometric Neural Network with Edge-Awar...
with: Liu, Z.Z.: GeoNet: Geometric Neural Network for Joint Depth and Surfac...
with: Loy, C.C.: Be Your Own Prada: Fashion Synthesis with Structural Cohere...
with: Luo, K.: Implicit Latent Variable Model for Scene-consistent Motion Fo...
with: Luo, W.: DeepRoadMapper: Extracting Road Topology from Aerial Images
with: Luo, W.: Efficient Convolutions for Real-Time Semantic Segmentation of...
with: Luo, W.: Efficient Deep Learning for Stereo Matching
with: Luo, W.: Fast and Furious: Real Time End-to-End 3D Detection, Tracking...
with: Luo, W.: TorontoCity: Seeing the World with a Million Eyes
with: Luo, W.J.: End-To-End Interpretable Neural Motion Planner
with: Luo, W.J.: Exploiting Deep Matching and SAR Data for the Geo-Localizat...
with: Luo, W.J.: Exploiting Semantic Information and Deep Matching for Optic...
with: Luo, W.J.: PIXOR: Real-time 3D Object Detection from Point Clouds
with: Ma, H.M.: 3D Object Proposals Using Stereo Imagery for Accurate Object...
with: Ma, H.M.: Monocular 3D Object Detection for Autonomous Driving
with: Ma, W.: DAGMapper: Learning to Map by Discovering Lane Topology
with: Ma, W.: Deep Parametric Continuous Convolutional Neural Networks
with: Ma, W.: DeepPruner: Learning Efficient Stereo Matching via Differentia...
with: Ma, W.: Hierarchical Recurrent Attention Networks for Structured Onlin...
with: Ma, W.: LiDARsim: Realistic LiDAR Simulation by Leveraging the Real Wo...
with: Ma, W.: PolyTransform: Deep Polygon Transformer for Instance Segmentat...
with: Ma, W.C.: Conditional Entropy Coding for Efficient Video Compression
with: Ma, W.C.: Convolutional Recurrent Network for Road Boundary Extraction
with: Ma, W.C.: Deep Feedback Inverse Problem Solver
with: Ma, W.C.: Deep Rigid Instance Scene Flow
with: Ma, W.C.: Learning Compact Representations for LiDAR Completion and Ge...
with: Ma, W.C.: Levelset R-CNN: A Deep Variational Method for Instance Segme...
with: Ma, W.C.: Mending Neural Implicit Modeling for 3D Vehicle Reconstructi...
with: Ma, W.C.: S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human...
with: Ma, W.C.: Single Image Intrinsic Decomposition Without a Single Intrin...
with: Ma, W.C.: SurfConv: Bridging 3D and 2D Convolution for RGBD Images
with: Ma, W.C.: UniSim: A Neural Closed-Loop Sensor Simulator
with: Ma, W.C.: Virtual Correspondence: Humans as a Cue for Extreme-View Geo...
with: Ma, W.C.: Weakly-supervised 3d Shape Completion in the Wild
with: Manivasagam, S.: Adversarial Attacks On Multi-Agent Communication
with: Manivasagam, S.: AdvSim: Generating Safety-Critical Scenarios for Self...
with: Manivasagam, S.: Deep Feedback Inverse Problem Solver
with: Manivasagam, S.: GeoSim: Realistic Video Simulation via Geometry-Aware...
with: Manivasagam, S.: LiDARsim: Realistic LiDAR Simulation by Leveraging th...
with: Manivasagam, S.: Mending Neural Implicit Modeling for 3D Vehicle Recon...
with: Manivasagam, S.: Physically Realizable Adversarial Examples for LiDAR ...
with: Manivasagam, S.: Real-Time Neural Rasterization for Large Scenes
with: Manivasagam, S.: S3: Neural Shape, Skeleton, and Skinning Fields for 3...
with: Manivasagam, S.: SceneGen: Learning to Generate Realistic Traffic Scenes
with: Manivasagam, S.: Towards Zero Domain Gap: A Comprehensive Study of Rea...
with: Manivasagam, S.: UniSim: A Neural Closed-Loop Sensor Simulator
with: Manivasagam, S.: V2vnet: Vehicle-to-vehicle Communication for Joint Pe...
with: Manivasagam, S.: Weakly-supervised 3d Shape Completion in the Wild
with: Marcos, D.: Learning Deep Structured Active Contours End-to-End
with: Martinez, J.: Deep Multi-Task Learning for Joint Localization, Percept...
with: Martinez, J.: Learning to Localize Through Compressed Binary Maps
with: Martinez, J.: Permute, Quantize, and Fine-tune: Efficient Compression ...
with: Mattyus, G.: DeepRoadMapper: Extracting Road Topology from Aerial Images
with: Mattyus, G.: Enhancing Road Maps by Parsing Aerial Images Around the W...
with: Mattyus, G.: HD Maps: Fine-Grained Road Segmentation by Parsing Ground...
with: Mattyus, G.: Matching Adversarial Networks
with: Mattyus, G.: TorontoCity: Seeing the World with a Million Eyes
with: McAllester, D.: Continuous Markov Random Fields for Robust Stereo Esti...
with: McAllester, D.: Efficient Joint Segmentation, Occlusion Labeling, Ster...
with: McAllester, D.: Robust Monocular Epipolar Flow Estimation
with: Merkle, N.: Exploiting Deep Matching and SAR Data for the Geo-Localiza...
with: Miki, Y.: Estimating Drivable Collision-Free Space from Monocular Video
with: Moreno Noguer, F.: High Performance CRF Model for Clothes Parsing, A
with: Moreno Noguer, F.: Neuroaesthetics in fashion: Modeling the perception...
with: Mottaghi, R.: Analyzing Semantic Segmentation Using Hybrid Human-Machi...
with: Mottaghi, R.: Bottom-Up Segmentation for Top-Down Detection
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: Muller, R.: Exploiting Deep Matching and SAR Data for the Geo-Localiza...
with: Parikh, D.: Analyzing Semantic Segmentation Using Hybrid Human-Machine...
with: Parikh, D.: Human-Machine CRFs for Identifying Bottlenecks in Scene Un...
with: Phillips, J.: Deep Multi-Task Learning for Joint Localization, Percept...
with: Pokrovsky, A.: Deep Parametric Continuous Convolutional Neural Networks
with: Pokrovsky, A.: SBNet: Sparse Blocks Network for Fast Inference
with: Pollefeys, M.: Box in the Box: Joint 3D Layout and Object Reasoning fr...
with: Pollefeys, M.: Distributed message passing for large scale graphical m...
with: Pollefeys, M.: Efficient structured prediction for 3D indoor scene und...
with: Pun, A.: AdvSim: Generating Safety-Critical Scenarios for Self-Driving...
with: Qi, X.: 3D Graph Neural Networks for RGBD Semantic Segmentation
with: Qi, X.J.: GeoNet++: Iterative Geometric Neural Network with Edge-Aware...
with: Qi, X.J.: GeoNet: Geometric Neural Network for Joint Depth and Surface...
with: Quattoni, A.: Transferring Nonlinear Representations using Gaussian Pr...
with: Ramalingam, S.: Estimating Drivable Collision-Free Space from Monocula...
with: Regalado, S.: TrafficSim: Learning to Simulate Realistic Multi-Agent B...
with: Ren, M.: Adversarial Attacks On Multi-Agent Communication
with: Ren, M.: AdvSim: Generating Safety-Critical Scenarios for Self-Driving...
with: Ren, M.: Physically Realizable Adversarial Examples for LiDAR Object D...
with: Ren, M.: Rethinking Closed-Loop Training for Autonomous Driving
with: Ren, M.Y.: Perceive, Predict, and Plan: Safe Motion Planning Through I...
with: Ren, M.Y.: SBNet: Sparse Blocks Network for Fast Inference
with: Ren, M.Y.: SceneGen: Learning to Generate Realistic Traffic Scenes
with: Ren, M.Y.: Towards Unsupervised Object Detection from LiDAR Point Clouds
with: Rong, F.: GeoSim: Realistic Video Simulation via Geometry-Aware Compos...
with: Roser, M.: Efficient Large-Scale Stereo Matching
with: Ruijters, D.: Topologically controlled segmentation of 3D magnetic res...
with: Sadat, A.: AdvSim: Generating Safety-Critical Scenarios for Self-Drivi...
with: Sadat, A.: Deep Multi-Task Learning for Joint Localization, Perception...
with: Sadat, A.: End-To-End Interpretable Neural Motion Planner
with: Sadat, A.: LookOut: Diverse Multi-Future Prediction and Planning for S...
with: Sadat, A.: MP3: A Unified Model to Map, Perceive, Predict and Plan
with: Sadat, A.: Perceive, Predict, and Plan: Safe Motion Planning Through I...
with: Sadat, A.: Testing the Safety of Self-driving Vehicles by Simulating P...
with: Salakhutdinov, R.: Aligning Books and Movies: Towards Story-Like Visua...
with: Salakhutdinov, R.: segDeepM: Exploiting segmentation and context in de...
with: Salzmann, M.: Beyond Feature Points: Structured Prediction for Monocul...
with: Salzmann, M.: Combining discriminative and generative methods for 3D d...
with: Salzmann, M.: constrained latent variable model, A
with: Salzmann, M.: Learning to Recognize Objects from Unseen Modalities
with: Salzmann, M.: Local deformation models for monocular 3D shape recovery
with: Salzmann, M.: Physically-based motion models for 3D tracking: A convex...
with: Sazanovich, M.: LiDARsim: Realistic LiDAR Simulation by Leveraging the...
with: Schwing, A.: Distributed message passing for large scale graphical mod...
with: Schwing, A.G.: Box in the Box: Joint 3D Layout and Object Reasoning fr...
with: Schwing, A.G.: Efficient Deep Learning for Stereo Matching
with: Schwing, A.G.: Efficient Exact Inference for 3D Indoor Scene Understan...
with: Schwing, A.G.: Efficient structured prediction for 3D indoor scene und...
with: Schwing, A.G.: Estimating the 3D Layout of Indoor Scenes and Its Clutt...
with: Schwing, A.G.: Learning to segment under various forms of weak supervi...
with: Schwing, A.G.: Monocular Object Instance Segmentation and Depth Orderi...
with: Schwing, A.G.: Rent3D: Floor-plan priors for monocular layout estimation
with: Schwing, A.G.: Tell Me What You See and I Will Show You Where It Is
with: Shah, M.: Conditional Entropy Coding for Efficient Video Compression
with: Sharma, A.: Sentence Is Worth a Thousand Pixels, A
with: Shewakramani, J.: Permute, Quantize, and Fine-tune: Efficient Compress...
with: Shyr, A.: Sufficient dimension reduction for visual sequence classific...
with: Shyr, A.: Supervised hierarchical Pitman-Yor process for natural scene...
with: Simo Serra, E.: High Performance CRF Model for Clothes Parsing, A
with: Simo Serra, E.: Neuroaesthetics in fashion: Modeling the perception of...
with: Stiefelhagen, R.: MovieQA: Understanding Stories in Movies through Que...
with: Stiefelhagen, R.: Rank Priors for Continuous Non-Linear Dimensionality...
with: Stiller, C.: 3D Traffic Scene Understanding From Movable Platforms
with: Stiller, C.: Vision meets robotics: The KITTI dataset
with: Su, H.: Weakly-supervised 3d Shape Completion in the Wild
with: Suo, S.: Deep Parametric Continuous Convolutional Neural Networks
with: Suo, S.: End-To-End Interpretable Neural Motion Planner
with: Suo, S.: Implicit Latent Variable Model for Scene-consistent Motion Fo...
with: Suo, S.: MIXSIM: A Hierarchical Framework for Mixed Reality Traffic Si...
with: Suo, S.: TrafficSim: Learning to Simulate Realistic Multi-Agent Behavi...
with: Sykora, Q.: Implicit Occupancy Flow Fields for Perception and Predicti...
with: Taguchi, Y.C.: Estimating Drivable Collision-Free Space from Monocular...
with: Tan, S.: LiDARsim: Realistic LiDAR Simulation by Leveraging the Real W...
with: Tan, S.H.: SceneGen: Learning to Generate Realistic Traffic Scenes
with: Tapaswi, M.: MovieQA: Understanding Stories in Movies through Question...
with: Tapaswi, M.: Situation Recognition with Graph Neural Networks
with: Torr, P.H.S.: GeoNet++: Iterative Geometric Neural Network with Edge-A...
with: Torr, P.H.S.: GeoNet: Geometric Neural Network for Joint Depth and Sur...
with: Torralba, A.: Virtual Correspondence: Humans as a Cue for Extreme-View...
with: Torralba, A.B.: Aligning Books and Movies: Towards Story-Like Visual E...
with: Torralba, A.B.: Deep Feedback Inverse Problem Solver
with: Torralba, A.B.: MovieQA: Understanding Stories in Movies through Quest...
with: Torralba, A.B.: Single Image Intrinsic Decomposition Without a Single ...
with: Tu, J.: Adversarial Attacks On Multi-Agent Communication
with: Tu, J.: AdvSim: Generating Safety-Critical Scenarios for Self-Driving ...
with: Tu, J.: MIXSIM: A Hierarchical Framework for Mixed Reality Traffic Sim...
with: Tu, J.: Physically Realizable Adversarial Examples for LiDAR Object De...
with: Tuia, D.: Learning Deep Structured Active Contours End-to-End
with: Urtasun, R.: Deep Watershed Transform for Instance Segmentation
with: Van Gool, L.J.: Data-driven animation of hand-object interactions
with: Varol, A.: constrained latent variable model, A
with: Wang, J.K.: Adversarial Attacks On Multi-Agent Communication
with: Wang, J.K.: AdvSim: Generating Safety-Critical Scenarios for Self-Driv...
with: Wang, J.K.: Learning Compact Representations for LiDAR Completion and ...
with: Wang, J.K.: Real-Time Neural Rasterization for Large Scenes
with: Wang, J.K.: Towards Zero Domain Gap: A Comprehensive Study of Realisti...
with: Wang, J.K.: UniSim: A Neural Closed-Loop Sensor Simulator
with: Wang, L.W.: Dense Reppoints: Representing Visual Objects with Dense Po...
with: Wang, S.: Deep Parametric Continuous Convolutional Neural Networks
with: Wang, S.: DeepPruner: Learning Efficient Stereo Matching via Different...
with: Wang, S.: Learning to Localize Through Compressed Binary Maps
with: Wang, S.: LiDARsim: Realistic LiDAR Simulation by Leveraging the Real ...
with: Wang, S.: Mending Neural Implicit Modeling for 3D Vehicle Reconstructi...
with: Wang, S.: OctSqueeze: Octree-Structured Entropy Model for LiDAR Compre...
with: Wang, S.: TorontoCity: Seeing the World with a Million Eyes
with: Wang, S.L.: Conditional Entropy Coding for Efficient Video Compression
with: Wang, S.L.: Convolutional Recurrent Network for Road Boundary Extraction
with: Wang, S.L.: Deep Continuous Fusion for Multi-sensor 3D Object Detection
with: Wang, S.L.: Deep Feedback Inverse Problem Solver
with: Wang, S.L.: Deep Rigid Instance Scene Flow
with: Wang, S.L.: Dsdnet: Deep Structured Self-driving Network
with: Wang, S.L.: DSIC: Deep Stereo Image Compression
with: Wang, S.L.: Enhancing Road Maps by Parsing Aerial Images Around the Wo...
with: Wang, S.L.: GeoSim: Realistic Video Simulation via Geometry-Aware Comp...
with: Wang, S.L.: HD Maps: Fine-Grained Road Segmentation by Parsing Ground ...
with: Wang, S.L.: Holistic 3D scene understanding from a single geo-tagged i...
with: Wang, S.L.: HouseCraft: Building Houses from Rental Ads and Street Views
with: Wang, S.L.: Lost Shopping! Monocular Localization in Large Indoor Spaces
with: Wang, S.L.: S3: Neural Shape, Skeleton, and Skinning Fields for 3D Hum...
with: Wang, S.L.: SceneGen: Learning to Generate Realistic Traffic Scenes
with: Wang, S.L.: Transductive Gaussian processes for image denoising
with: Wang, S.L.: Virtual Correspondence: Humans as a Cue for Extreme-View G...
with: Wang, T.: Adversarial Attacks On Multi-Agent Communication
with: Wang, T.H.: V2vnet: Vehicle-to-vehicle Communication for Joint Percept...
with: Wang, Z.H.: Mending Neural Implicit Modeling for 3D Vehicle Reconstruc...
with: Wang, Z.H.: Weakly-supervised 3d Shape Completion in the Wild
with: Wei, X.K.: Learning to Localize Through Compressed Binary Maps
with: Wojek, C.: 3D Traffic Scene Understanding From Movable Platforms
with: Wong, K.: LiDARsim: Realistic LiDAR Simulation by Leveraging the Real ...
with: Wong, K.: MIXSIM: A Hierarchical Framework for Mixed Reality Traffic S...
with: Wong, K.: OctSqueeze: Octree-Structured Entropy Model for LiDAR Compre...
with: Wong, K.: SceneGen: Learning to Generate Realistic Traffic Scenes
with: Wong, K.: Testing the Safety of Self-driving Vehicles by Simulating Pe...
with: Wu, X.: DAGMapper: Learning to Map by Discovering Lane Topology
with: Wu, X.Y.: Perceive, Predict, and Plan: Safe Motion Planning Through In...
with: Xing, E.P.: Efficient Multiple Instance Metric Learning Using Weakly S...
with: Xiong, Y.: Deep Rigid Instance Scene Flow
with: Xiong, Y.: DMM-Net: Differentiable Mask-Matching Network for Video Obj...
with: Xiong, Y.: Levelset R-CNN: A Deep Variational Method for Instance Segm...
with: Xiong, Y.: PolyTransform: Deep Polygon Transformer for Instance Segmen...
with: Xiong, Y.: Rethinking Closed-Loop Training for Autonomous Driving
with: Xiong, Y.: UPSNet: A Unified Panoptic Segmentation Network
with: Xiong, Y.W.: Learning Compact Representations for LiDAR Completion and...
with: Xiong, Y.W.: Towards Unsupervised Object Detection from LiDAR Point Cl...
with: Xiong, Y.W.: Weakly-supervised 3d Shape Completion in the Wild
with: Xu, J.: Learning to segment under various forms of weak supervision
with: Xu, J.: MIXSIM: A Hierarchical Framework for Mixed Reality Traffic Sim...
with: Xu, J.: Tell Me What You See and I Will Show You Where It Is
with: Xu, Y.H.: Dense Reppoints: Representing Visual Objects with Dense Poin...
with: Xue, H.: Dense Reppoints: Representing Visual Objects with Dense Point...
with: Xue, S.J.: GeoSim: Realistic Video Simulation via Geometry-Aware Compo...
with: Yamaguchi, K.: Continuous Markov Random Fields for Robust Stereo Estim...
with: Yamaguchi, K.: Efficient Joint Segmentation, Occlusion Labeling, Stere...
with: Yamaguchi, K.: Robust Monocular Epipolar Flow Estimation
with: Yan, X.C.: GeoSim: Realistic Video Simulation via Geometry-Aware Compo...
with: Yan, X.C.: S3: Neural Shape, Skeleton, and Skinning Fields for 3D Huma...
with: Yang, A.J.: Towards Unsupervised Object Detection from LiDAR Point Clo...
with: Yang, A.J.: UniSim: A Neural Closed-Loop Sensor Simulator
with: Yang, A.J.: Virtual Correspondence: Humans as a Cue for Extreme-View G...
with: Yang, B.: Deep Continuous Fusion for Multi-sensor 3D Object Detection
with: Yang, B.: Dsdnet: Deep Structured Self-driving Network
with: Yang, B.: End-To-End Interpretable Neural Motion Planner
with: Yang, B.: Fast and Furious: Real Time End-to-End 3D Detection, Trackin...
with: Yang, B.: Learning Joint 2D-3D Representations for Depth Completion
with: Yang, B.: Learning Lane Graph Representations for Motion Forecasting
with: Yang, B.: LiDARsim: Realistic LiDAR Simulation by Leveraging the Real ...
with: Yang, B.: Multi-Task Multi-Sensor Fusion for 3D Object Detection
with: Yang, B.: Physically Realizable Adversarial Examples for LiDAR Object ...
with: Yang, B.: PIXOR: Real-time 3D Object Detection from Point Clouds
with: Yang, B.: PnPNet: End-to-End Perception and Prediction With Tracking i...
with: Yang, B.: Radarnet: Exploiting Radar for Robust Perception of Dynamic ...
with: Yang, B.: SBNet: Sparse Blocks Network for Fast Inference
with: Yang, B.: Testing the Safety of Self-driving Vehicles by Simulating Pe...
with: Yang, B.: TorontoCity: Seeing the World with a Million Eyes
with: Yang, B.: Towards Unsupervised Object Detection from LiDAR Point Clouds
with: Yang, B.: V2vnet: Vehicle-to-vehicle Communication for Joint Perceptio...
with: Yang, Z.: Dense Reppoints: Representing Visual Objects with Dense Poin...
with: Yang, Z.: Real-Time Neural Rasterization for Large Scenes
with: Yang, Z.: S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human...
with: Yang, Z.: Towards Zero Domain Gap: A Comprehensive Study of Realistic ...
with: Yang, Z.: UniSim: A Neural Closed-Loop Sensor Simulator
with: Yao, J.: Analyzing Semantic Segmentation Using Hybrid Human-Machine CRFs
with: Yao, J.: Describing the scene as a whole: Joint object detection, scen...
with: Yao, J.: Estimating Drivable Collision-Free Space from Monocular Video
with: Yao, J.: Real-time coarse-to-fine topologically preserving segmentation
with: Yu, Y.: Efficient Multiple Instance Metric Learning Using Weakly Super...
with: Yuille, A.L.: Bottom-Up Segmentation for Top-Down Detection
with: Yuille, A.L.: Detect What You Can: Detecting and Representing Objects ...
with: Yuille, A.L.: Human-Machine CRFs for Identifying Bottlenecks in Scene ...
with: Yuille, A.L.: Role of Context for Object Detection and Semantic Segmen...
with: Yumer, E.: GeoSim: Realistic Video Simulation via Geometry-Aware Compo...
with: Yumer, E.: S3: Neural Shape, Skeleton, and Skinning Fields for 3D Huma...
with: Yumer, E.: UPSNet: A Unified Panoptic Segmentation Network
with: Zemel, R.: Aligning Books and Movies: Towards Story-Like Visual Explan...
with: Zemel, R.S.: Efficient Multiple Instance Metric Learning Using Weakly ...
with: Zeng, W.: LiDARsim: Realistic LiDAR Simulation by Leveraging the Real ...
with: Zeng, W.: PnPNet: End-to-End Perception and Prediction With Tracking i...
with: Zeng, W.Y.: Dsdnet: Deep Structured Self-driving Network
with: Zeng, W.Y.: End-To-End Interpretable Neural Motion Planner
with: Zeng, W.Y.: Permute, Quantize, and Fine-tune: Efficient Compression of...
with: Zeng, W.Y.: Rethinking Closed-Loop Training for Autonomous Driving
with: Zeng, W.Y.: V2vnet: Vehicle-to-vehicle Communication for Joint Percept...
with: Zeng, W.Y.: Weakly-supervised 3d Shape Completion in the Wild
with: Zeng, X.: DMM-Net: Differentiable Mask-Matching Network for Video Obje...
with: Zhang, C.: Efficient Convolutions for Real-Time Semantic Segmentation ...
with: Zhang, C.: Rethinking Closed-Loop Training for Autonomous Driving
with: Zhang, H.Y.: Understanding High-Level Semantics by Modeling Traffic Pa...
with: Zhang, J.: Estimating the 3D Layout of Indoor Scenes and Its Clutter f...
with: Zhang, L.: Learning Deep Structured Active Contours End-to-End
with: Zhang, L.: Transductive Gaussian processes for image denoising
with: Zhang, L.J.: Towards Unsupervised Object Detection from LiDAR Point Cl...
with: Zhang, Q.A.: Testing the Safety of Self-driving Vehicles by Simulating...
with: Zhang, Z.: Dense Reppoints: Representing Visual Objects with Dense Poi...
with: Zhang, Z.Y.: Instance-Level Segmentation for Autonomous Driving with D...
with: Zhang, Z.Y.: Monocular 3D Object Detection for Autonomous Driving
with: Zhang, Z.Y.: Monocular Object Instance Segmentation and Depth Ordering...
with: Zhao, H.S.: UPSNet: A Unified Panoptic Segmentation Network
with: Zhou, B.L.: Single Image Intrinsic Decomposition Without a Single Intr...
with: Zhu, S.: Be Your Own Prada: Fashion Synthesis with Structural Coherence
with: Zhu, Y.: 3D Object Proposals Using Stereo Imagery for Accurate Object ...
with: Zhu, Y.: Aligning Books and Movies: Towards Story-Like Visual Explanat...
with: Zhu, Y.: MovieQA: Understanding Stories in Movies through Question-Ans...
with: Zhu, Y.: segDeepM: Exploiting segmentation and context in deep neural ...
565 for Urtasun, R.