| Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction |
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| Tracking Multiple Deformable Objects in Egocentric Videos |
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| Tracking through Containers and Occluders in the Wild |
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TarViS: A Unified Approach for Target-based Video Segmentation
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| VideoTrack: Learning to Track Objects via Video Transformer |
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| ARKitTrack: A New Diverse Dataset for Tracking using Mobile RGB-D Data |
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A Dynamic Multi-Scale Voxel Flow Network for Video Prediction
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| Representation Learning for Visual Object Tracking by Masked Appearance Transfer |
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| EqMotion: Equivariant Multi-Agent Motion Prediction with Invariant Interaction Reasoning |
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| Semi-Supervised Video Inpainting with Cycle Consistency Constraints |
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| Generalized Relation Modeling for Transformer Tracking |
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Breaking the Object in Video Object Segmentation |
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| Unifying Short and Long-Term Tracking with Graph Hierarchies |
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| Simple Cues Lead to a Strong Multi-Object Tracker |
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| Unified Mask Embedding and Correspondence Learning for Self-Supervised Video Segmentation |
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| MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors |
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| SeqTrack: Sequence to Sequence Learning for Visual Object Tracking |
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| Joint Visual Grounding and Tracking with Natural Language Specification |
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| Boosting Video Object Segmentation via Space-Time Correspondence Learning |
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| Visual Prompt Multi-Modal Tracking |
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| OVTrack: Open-Vocabulary Multiple Object Tracking |
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TransFlow: Transformer as Flow Learner
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| Focus on Details: Online Multi-Object Tracking with Diverse Fine-grained Representation |
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Autoregressive Visual Tracking
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| Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping |
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| Tangentially Elongated Gaussian Belief Propagation for Event-based Incremental Optical Flow Estimation |
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| Bridging Search Region Interaction with Template for RGB-T Tracking |
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Efficient RGB-T Tracking via Cross-Modality Distillation
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| MotionTrack: Learning Robust Short-Term and Long-Term Motions for Multi-Object Tracking |
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| Self-Supervised AutoFlow |
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| UTM: A Unified Multiple Object Tracking Model with Identity-Aware Feature Enhancement |
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| BiFormer: Learning Bilateral Motion Estimation via Bilateral Transformer for 4K Video Frame Interpolation |
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| Spatial-then-Temporal Self-Supervised Learning for Video Correspondence |
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| BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects |
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| MED-VT: Multiscale Encoder-Decoder Video Transformer with Application to Object Segmentation |
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| Context-Aware Relative Object Queries to Unify Video Instance and Panoptic Segmentation |
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Unsupervised Space-Time Network for Temporally-Consistent Segmentation of Multiple Motions
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| Resource-Efficient RGBD Aerial Tracking |
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| MMVC: Learned Multi-Mode Video Compression with Block-based Prediction Mode Selection and Density-Adaptive Entropy Coding |
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| Streaming Video Model |
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| Weakly Supervised Class-Agnostic Motion Prediction for Autonomous Driving |
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| LSTFE-Net: Long Short-Term Feature Enhancement Network for Video Small Object Detection |
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| DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling |
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| SCOTCH and SODA: A Transformer Video Shadow Detection Framework |
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| ZBS: Zero-Shot Background Subtraction via Instance-Level Background Modeling and Foreground Selection |
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| Frame-Event Alignment and Fusion Network for High Frame Rate Tracking |
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