| _ | many | _ |
|---|
| 1080p H.264/AVC Baseline Residual Encoder for a Fine-Grained | many | -Core System, A |
| 2 Goes into 3: Reduction of Rank-Reduced Orientation-from-Color Problem with | many | Unknown Lights to Two-Image Known-Illuminant Photometric Stereo |
| Accurate and Diverse Sampling of Sequences Based on a Best of | many | Sample Objective |
| Accurate Discharge Estimation Based on River Widths of SWOT and Constrained At- | many | -Stations Hydraulic Geometry |
| Acted vs. natural frustration and delight: | many | people smile in natural frustration |
| Action snippets: How | many | frames does human action recognition require? |
| Adaptive random forest: How | many | experts to ask before making a decision? |
| Asymmetric Watermarking System With | many | Embedding Watermarks Corresponding to One Detection Watermark, An |
| Automated lesion segmentation in fundus images with | many | -to-many reassembly of features |
| Automated lesion segmentation in fundus images with | many | -to-many reassembly of features |
| BANMo: Building Animatable 3D Neural Models from | many | Casual Videos |
| Beyond one-to-one feature correspondence: The need for | many | -to-many matching and image abstraction |
| Beyond one-to-one feature correspondence: The need for | many | -to-many matching and image abstraction |
| Bridging the Gap Between Few-Shot and | many | -Shot Learning via Distribution Calibration |
| Building Architectural Models from | many | Views Using Map Constraints |
| Camouflaging an Object from | many | Viewpoints |
| Comparison of | many | Max-tree Computation Algorithms, A |
| Compressive Sensing Algorithm for | many | -Core Architectures, A |
| Computing the Camera Motion Direction from | many | Images |
| Consistent Temporal Variations in | many | Outdoor Scenes |
| Deep MANTA: A Coarse-to-Fine | many | -Task Network for Joint 2D and 3D Vehicle Analysis from Monocular Image |
| Delving Deep into | many | -to-many Attention for Few-shot Video Object Segmentation |
| Delving Deep into | many | -to-many Attention for Few-shot Video Object Segmentation |
| Dense photometric stereo reconstruction on | many | core GPUs |
| Differentiating Between | many | Similar Features using Relational Information in Space and Scale |
| Dual | many | -to-one-encoder-based transfer learning for cross-dataset human action recognition |
| Dual Temperature Helps Contrastive Learning Without | many | Negative Samples: Towards Understanding and Simplifying MoCo |
| Efficient Discriminative Learning of Class Hierarchy for | many | Class Prediction |
| Efficient | many | -to-Many Feature Matching under the L1 Norm |
| Efficient | many | -to-Many Feature Matching under the L1 Norm |
| Efficient Parallel Framework for H.264/AVC Deblocking Filter on | many | -Core Platform |
| Efficient Parallel Framework for HEVC Motion Estimation on | many | -Core Processors |
| Efficient tracking of | many | objects in structured environments |
| EKF pose estimation: How | many | filters and cameras to use? |
| EMD-Based Video Clip Retrieval by | many | -to-Many Matching |
| EMD-Based Video Clip Retrieval by | many | -to-Many Matching |
| Emotion recognition from scrambled facial images via | many | graph embedding |
| Evaluation of Correctness in Unsupervised | many | -to-Many Image Translation |
| Evaluation of Correctness in Unsupervised | many | -to-Many Image Translation |
| Evolutionary Path Control Strategy for Solving | many | -Objective Optimization Problem |
| Exploration of Optimal | many | -Core Models for Efficient Image Segmentation |
| Exploring MPEG HEVC decoder parallelism for the efficient porting onto | many | -core platforms |
| Fast and scalable lock methods for video coding on | many | -core architecture |
| Fast One-to- | many | Multicriteria Shortest Path Search |
| Favoring One Among Equals - Not a Good Idea: | many | -to-one Matching for Robust Transformer based Pedestrian Detection |
| Feasibility Study of Low-Dose Single-Scan Dual-Energy Cone-Beam CT in | many | -View Under-Sampling Framework, A |
| From Few to | many | : Generative Models for Recognition Under Variable Pose and Illumination |
| From Few to | many | : Illumination Cone Models for Face Recognition under Variable Lighting and Pose |
| From Isolated Handwritten Characters to Fields Recognition: There's | many | a Slip Twixt Cup and Lip |
| From one to | many | : Pose-Aware Metric Learning for single-sample face recognition |
| Graph Convolutional Networks for Learning with Few Clean and | many | Noisy Labels |
| Graph cuts with | many | -pixel interactions: Theory and applications to shape modelling |
| Group DETR: Fast DETR Training with Group-Wise One-to- | many | Assignment |
| Highly Parallel Framework for HEVC Coding Unit Partitioning Tree Decision on | many | -core Processors, A |
| Highly Parallel Line-Based Image Coding for | many | Cores |
| How | many | 2D Silhouettes Does it Take to Reconstruct a 3D Object |
| How | many | Annotations Do We Need for Generalizing New-Coming Shadow Images? |
| How | many | bits does it take for a stimulus to be salient? |
| How | many | classifiers do I need? |
| How | many | clusters are best? - An experiment |
| How | many | dimensions are required to find an adversarial example? |
| How | many | Events Make an Object? Improving Single-frame Object Detection on the 1 Mpx Dataset |
| How | many | Facilities are Needed? Evaluating Configurations of Subway Security Check Systems via a Hybrid Queueing Model |
| How | many | high-level concepts will fill the semantic gap in news video retrieval? |
| How | many | Hippos (HOMHIP): Algorithm for Automatic Counts of Animals with Infra-Red Thermal Imagery From UAV |
| How | many | more images do we need? Performance prediction of bootstrapping for image classification |
| How | many | Observations are Enough? Knowledge Distillation for Trajectory Forecasting |
| How | many | Pan-Arctic Lakes Are Observed by ICESat-2 in Space and Time? |
| How | many | planar viewing surfaces are there in noncentral catadioptric cameras? Towards singe-image localization of space lines |
| How | many | Reindeer? UAV Surveys as an Alternative to Helicopter or Ground Surveys for Estimating Population Abundance in Open Landscapes |
| How | many | Templates Does It Take for a Good Segmentation?: Error Analysis in Multiatlas Segmentation as a Function of Database Size |
| How | many | times do young drivers actually touch their smartphone screens while driving? |
| How | many | Vehicles Do We Need? Fleet Sizing for Shared Autonomous Vehicles With Ridesharing |
| How | many | Visual Concepts? |
| Hybrid Lighting for faster rendering of scenes with | many | lights |
| Hydra Attention: Efficient Attention with | many | Heads |
| Image Denoising Inspired by Quantum | many | -Body physics |
| Impact of Blur and Resolution on Demographic Disparities in 1-to- | many | Facial Identification |
| Improved framework of | many | -objective evolutionary algorithm to handle cloud detection problem in satellite imagery |
| In-Kernel Relay for Scalable One-to- | many | Streaming |
| Intermediate shadow maps for interactive | many | -light rendering |
| Large Scale Multi-View Stereo, Internet Scale, | many | Views |
| Large-Scale | many | -Objective Deployment Optimization of Edge Servers |
| Learning a discriminative deformation-invariant 3D shape descriptor via | many | -to-one encoder |
| Learning One-to- | many | Mapping With Locally Linear Maps Based on Manifold Structure |
| Learning one-to- | many | stylised Chinese character transformation and generation by generative adversarial networks |
| Learning Policies for Efficiently Identifying Objects of | many | Classes |
| Learning to Detect Objects of | many | Classes Using Binary Classifiers |
| Learning to detect, localize and recognize | many | text objects in document images from few examples |
| Line reconstruction from | many | perspective images by factorization |
| Maintaining Multiple Motion Model Hypotheses over | many | Views to Recover Matching and Structure |
| many | Faces of Anger: A Multicultural Video Dataset of Negative Emotions in the Wild (MFA-Wild), The |
| many | Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization, The |
| many | Hands Make Light Work: Transferring Knowledge from Auxiliary Tasks for Video-Text Retrieval |
| many | Shades of Negativity, The |
| many | Task Learning With Task Routing |
| many | -Lights Real Time Global Illumination Using Sparse Voxel Octree |
| many | -Objective Ensemble-Based Multilabel Classification |
| many | -Objective Optimization Based Intrusion Detection for in-Vehicle Network Security |
| many | -Objective RadarCom Signal Design via NSGA-II Genetic Algorithm Implementation and Simulation Analysis |
| many | -shot from Low-shot: Learning to Annotate Using Mixed Supervision for Object Detection |
| many | -Task Federated Learning: A New Problem Setting and A Simple Baseline |
| many | -to-Many Feature Matching in Object Recognition |
| many | -to-Many Feature Matching in Object Recognition |
| many | -to-many feature matching in object recognition: a review of three approaches |
| many | -to-many feature matching in object recognition: a review of three approaches |
| many | -to-Many Feature Matching Using Spherical Coding of Directed Graphs |
| many | -to-Many Feature Matching Using Spherical Coding of Directed Graphs |
| many | -to-many graph matching via metric embedding |
| many | -to-many graph matching via metric embedding |
| many | -to-many Matching of Attributed Trees Using Association Graphs and Game Dynamics |
| many | -to-many Matching of Attributed Trees Using Association Graphs and Game Dynamics |
| many | -to-Many Matching of Scale-Space Feature Hierarchies Using Metric Embedding |
| many | -to-Many Matching of Scale-Space Feature Hierarchies Using Metric Embedding |
| many | -to-Many Matching under the L1 Norm |
| many | -to-Many Matching under the L1 Norm |
| many | -to-many Metrics: A New Approach to Evaluate the Performance of Structural Damage Detection Networks |
| many | -to-many Metrics: A New Approach to Evaluate the Performance of Structural Damage Detection Networks |
| many | -to-many Splatting for Efficient Video Frame Interpolation |
| many | -to-many Splatting for Efficient Video Frame Interpolation |
| many | -to-Many Superpixel Matching for Robust Tracking |
| many | -to-Many Superpixel Matching for Robust Tracking |
| many | -to-one contour matching for describing and discriminating object shape |
| Median K-Flats for hybrid linear modeling with | many | outliers |
| Method of Fast and Simultaneous Calibration of | many | Mobile FMCW Radars Operating in a Network Anti-Drone System, A |
| Milena: Write Generic Morphological Algorithms Once, Run on | many | Kinds of Images |
| Model With a Heuristic Algorithm for Solving the Long-Term | many | -to-Many Car Pooling Problem, A |
| Model With a Heuristic Algorithm for Solving the Long-Term | many | -to-Many Car Pooling Problem, A |
| Morphological Scale-Space Preserving Transforms in | many | Dimensions |
| Multiframe | many | -Many Point Correspondence for Vehicle Tracking in High Density Wide Area Aerial Videos |
| Multiframe | many | -Many Point Correspondence for Vehicle Tracking in High Density Wide Area Aerial Videos |
| Multimodal Framework for Automated Teaching Quality Assessment of One-to- | many | Online Instruction Videos, A |
| Multistage Dynamic Optimization with Different Forms of Neural-State Constraints to Avoid | many | Object Collisions Based on Radar Remote Sensing |
| Object Categorization and the Need for | many | -to-Many Matching |
| Object Categorization and the Need for | many | -to-Many Matching |
| Object Class Recognition with | many | Local Features |
| Object Recognition as | many | -to-Many Feature Matching |
| Object Recognition as | many | -to-Many Feature Matching |
| Omnivore: A Single Model for | many | Visual Modalities |
| On the Absence of Uniform Recovery in | many | Real-World Applications of Compressed Sensing and the Restricted Isometry Property and Nullspace Property in Levels |
| On-Device Scalable Image-Based Localization via Prioritized Cascade Search and Fast One- | many | RANSAC |
| One-to- | many | face recognition with bilinear CNNs |
| One-To- | many | Network for Visually Pleasing Compression Artifacts Reduction |
| One-to- | many | Registration of Landsat Imagery |
| Optimizing memory bandwidth exploitation for OpenVX applications on embedded | many | -core accelerators |
| OPTIMUS: Online Persistent Tracking and Identification of | many | Users for Smart Spaces |
| P-STMO: Pre-trained Spatial Temporal | many | -to-One Model for 3D Human Pose Estimation |
| Painting | many | Pasts: Synthesizing Time Lapse Videos of Paintings |
| Parallelizing band selection for hyperspectral imagery with | many | -threads |
| Pedestrian detection using boosted features over | many | frames |
| performance and energy evaluation of | many | -light rendering algorithms, A |
| pocket camera with | many | eyes, A |
| Prism Trees: An Efficient Representation for Manipulating and Displaying Polyhedra With | many | Faces |
| Random Faces Guided Sparse | many | -to-One Encoder for Pose-Invariant Face Recognition |
| Rapid Detection of | many | Object Instances |
| Real-time Automated Concurrent Visual Tracking of | many | Animals and Subsequent Behavioral Compilation |
| Reduction of Rank-Reduced Orientation-from-Color Problem with | many | Unknown Lights to Two-Image Known-Illuminant Photometric Stereo |
| Representation of | many | -Sided Polygons and Polygonal Lines for Rapid Processing |
| Rete: A Fast Algorithm for the | many | Pattern/Many Object Pattern Match Problem |
| Rete: A Fast Algorithm for the | many | Pattern/Many Object Pattern Match Problem |
| Scene recovery from | many | randomly distributed single pixel cameras |
| Semantic Label Sharing for Learning with | many | Categories |
| SI(FS)2: Fast simultaneous instance and feature selection for datasets with | many | features |
| Single-Chip MPEG2 MP-AT-ML Video Encoder LSI Including Wide Search Range Motion Estimation (H+/-288, V+/-96) and | many | Functions for Consumer Use, A |
| So | many | Heads, So Many Wits: Multimodal Graph Reasoning for Text-Based Visual Question Answering |
| So | many | Heads, So Many Wits: Multimodal Graph Reasoning for Text-Based Visual Question Answering |
| Solving Transit Network Design Problem Using | many | -Objective Evolutionary Approach |
| Sparse-shot Learning with Exclusive Cross-Entropy for Extremely | many | Localisations |
| Spatio-Temporal Analysis -- | many | Frames |
| Statistical modeling and | many | -to-many matching for view-based 3D object retrieval |
| Statistical modeling and | many | -to-many matching for view-based 3D object retrieval |
| Statistical shape modelling: How | many | modes should be retained? |
| Stereo mosaics with slanting parallel projections from | many | cameras or a moving camera |
| Structure from | many | Perspective Images with Occlusions |
| Subspace analysis of arbitrarily | many | linear filter responses with an application to face tracking |
| Symmetry Aware Evaluation of 3D Object Detection and Pose Estimation in Scenes of | many | Parts in Bulk |
| Toward learning a unified | many | -to-many mapping for diverse image translation |
| Toward learning a unified | many | -to-many mapping for diverse image translation |
| Tracking | many | Objects Using Subordinated Condensation |
| Tracking | many | vehicles in wide area aerial surveillance |
| Tracking Multiple Mouse Contours (without Too | many | Samples) |
| Training | many | -parameter shape-from-shading models using a surface database |
| Training object detectors from few weakly-labeled and | many | unlabeled images |
| Understanding scenes on | many | levels |
| Universal Intensity Standardization Method Based on a | many | -to-One Weak-Paired Cycle Generative Adversarial Network for Magnetic Resonance Images, A |
| Unsupervised | many | -to-many image-to-image translation across multiple domains |
| Unsupervised | many | -to-many image-to-image translation across multiple domains |
| Unsupervised | many | -to-Many Object Matching for Relational Data |
| Unsupervised | many | -to-Many Object Matching for Relational Data |
| Using | many | cameras as one |
| Video Frame Interpolation With | many | -to-Many Splatting and Spatial Selective Refinement |
| Video Frame Interpolation With | many | -to-Many Splatting and Spatial Selective Refinement |
| Video Segmentation by Tracking | many | Figure-Ground Segments |
| What, Where and How | many | ? Combining Object Detectors and CRFs |
| Which and How | many | Regions to Gaze: Focus Discriminative Regions for Fine-Grained Visual Categorization |
| Why so | many | people? Explaining Nonhabitual Transport Overcrowding With Internet Data |
| Zero-shot versus | many | -shot: Unsupervised Texture Anomaly Detection |
197 for many