{"total":59,"rows":[{"id":"2410.11831","title":"CoTracker3: Simpler and Better Point Tracking by Pseudo-Labelling Real Videos","created":"2024-10-15","cited_by_count":128,"area":null},{"id":"2402.00847","title":"BootsTAP: Bootstrapped Training for Tracking-Any-Point","created":"2024-02-01","cited_by_count":120,"area":null},{"id":"2205.14620","title":"IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation","created":"2022-05-29","cited_by_count":109,"area":null},{"id":"2109.13912","title":"PDC-Net+: Enhanced Probabilistic Dense Correspondence Network","created":"2021-09-28","cited_by_count":80,"area":null},{"id":"2105.07014","title":"SMURF: Self-Teaching Multi-Frame Unsupervised RAFT with Full-Image Warping","created":"2021-05-14","cited_by_count":74,"area":null},{"id":"2307.12698","title":"MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features","created":"2023-07-24","cited_by_count":57,"area":null},{"id":"2104.03308","title":"Warp Consistency for Unsupervised Learning of Dense Correspondences","created":"2021-04-07","cited_by_count":42,"area":null},{"id":"2201.08379","title":"Learning Pixel Trajectories with Multiscale Contrastive Random Walks","created":"2022-01-20","cited_by_count":36,"area":null},{"id":"2105.02216","title":"Self-Supervised Multi-Frame Monocular Scene Flow","created":"2021-05-05","cited_by_count":29,"area":null},{"id":"2104.03965","title":"Learning optical flow from still images","created":"2021-04-08","cited_by_count":28,"area":null},{"id":"2204.07262","title":"Imposing Consistency for Optical Flow Estimation","created":"2022-04-14","cited_by_count":24,"area":null},{"id":"2207.11075","title":"RealFlow: EM-based Realistic Optical Flow Dataset Generation from Videos","created":"2022-07-22","cited_by_count":22,"area":null},{"id":"2103.12886","title":"Weakly Supervised Instance Segmentation for Videos with Temporal Mask Consistency","created":"2021-03-23","cited_by_count":19,"area":null},{"id":"2104.09498","title":"Comparing Correspondences: Video Prediction with Correspondence-wise Losses","created":"2021-04-19","cited_by_count":16,"area":null},{"id":"2203.16038","title":"Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels","created":"2022-03-30","cited_by_count":16,"area":null},{"id":"2103.13725","title":"GyroFlow: Gyroscope-Guided Unsupervised Optical Flow Learning","created":"2021-03-25","cited_by_count":15,"area":null},{"id":"2209.07778","title":"Spatial-then-Temporal Self-Supervised Learning for Video Correspondence","created":"2022-09-16","cited_by_count":13,"area":null},{"id":"2109.10967","title":"Learning Contrastive Representation for Semantic Correspondence","created":"2021-09-22","cited_by_count":12,"area":null},{"id":"2104.04724","title":"Occlusion Guided Self-supervised Scene Flow Estimation on 3D Point Clouds","created":"2021-04-10","cited_by_count":11,"area":null},{"id":"2408.11208","title":"PooDLe: Pooled and dense self-supervised learning from naturalistic videos","created":"2024-08-20","cited_by_count":11,"area":null},{"id":"2212.01762","title":"Self-supervised AutoFlow","created":"2022-12-04","cited_by_count":10,"area":null},{"id":"2301.10018","title":"GyroFlow+: Gyroscope-Guided Unsupervised Deep Homography and Optical Flow Learning","created":"2023-01-23","cited_by_count":10,"area":null},{"id":"2311.17056","title":"Self-Supervised Motion Magnification by Backpropagating Through Optical Flow","created":"2023-11-28","cited_by_count":10,"area":null},{"id":"2409.16288","title":"Self-Supervised Any-Point Tracking by Contrastive Random Walks","created":"2024-09-24","cited_by_count":10,"area":null},{"id":"2303.06209","title":"SemARFlow: Injecting Semantics into Unsupervised Optical Flow Estimation for Autonomous Driving","created":"2023-03-10","cited_by_count":9,"area":null},{"id":"2303.07564","title":"Unsupervised Cumulative Domain Adaptation for Foggy Scene Optical Flow","created":"2023-03-14","cited_by_count":9,"area":null},{"id":"2506.07740","title":"Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images","created":"2025-06-09","cited_by_count":9,"area":null},{"id":"2104.03560","title":"ASFlow: Unsupervised Optical Flow Learning with Adaptive Pyramid Sampling","created":"2021-04-08","cited_by_count":8,"area":null},{"id":"2205.07399","title":"SuperWarp: Supervised Learning and Warping on U-Net for Invariant Subvoxel-Precise Registration","created":"2022-05-15","cited_by_count":8,"area":null},{"id":"2207.09658","title":"Learning Depth from Focus in the Wild","created":"2022-07-20","cited_by_count":8,"area":null},{"id":"2308.07225","title":"DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume","created":"2023-08-14","cited_by_count":8,"area":null},{"id":"2405.02608","title":"UnSAMFlow: Unsupervised Optical Flow Guided by Segment Anything Model","created":"2024-05-04","cited_by_count":8,"area":null},{"id":"2112.00725","title":"The Augmented Image Prior: Distilling 1000 Classes by Extrapolating from a Single Image","created":"2021-12-01","cited_by_count":7,"area":null},{"id":"2206.03673","title":"Unsupervised Learning of 3D Scene Flow from Monocular Camera","created":"2022-06-08","cited_by_count":7,"area":null},{"id":"2210.13769","title":"GlobalFlowNet: Video Stabilization using Deep Distilled Global Motion Estimates","created":"2022-10-25","cited_by_count":7,"area":null},{"id":"2104.03097","title":"LIFE: Lighting Invariant Flow Estimation","created":"2021-04-07","cited_by_count":6,"area":null},{"id":"2407.01490","title":"LLM See, LLM Do: Guiding Data Generation to Target Non-Differentiable Objectives","created":"2024-07-01","cited_by_count":6,"area":null},{"id":"2502.12975","title":"Instance-Level Moving Object Segmentation from a Single Image with Events","created":"2025-02-18","cited_by_count":6,"area":null},{"id":"2503.06992","title":"Bridge Frame and Event: Common Spatiotemporal Fusion for High-Dynamic Scene Optical Flow","created":"2025-03-10","cited_by_count":5,"area":null},{"id":"2109.15321","title":"Sensor-Guided Optical Flow","created":"2021-09-30","cited_by_count":4,"area":null},{"id":"2202.07025","title":"Box Supervised Video Segmentation Proposal Network","created":"2022-02-14","cited_by_count":4,"area":null},{"id":"2206.10480","title":"Learning to Estimate and Refine Fluid Motion with Physical Dynamics","created":"2022-06-21","cited_by_count":4,"area":null},{"id":"2409.17001","title":"Adverse Weather Optical Flow: Cumulative Homogeneous-Heterogeneous Adaptation","created":"2024-09-25","cited_by_count":4,"area":null},{"id":"2107.03610","title":"NccFlow: Unsupervised Learning of Optical Flow With Non-occlusion from Geometry","created":"2021-07-08","cited_by_count":3,"area":null},{"id":"2303.13761","title":"Unsupervised Hierarchical Domain Adaptation for Adverse Weather Optical Flow","created":"2023-03-24","cited_by_count":3,"area":null},{"id":"2103.03465","title":"Unsupervised Motion Representation Enhanced Network for Action Recognition","created":"2021-03-05","cited_by_count":2,"area":null},{"id":"2304.07159","title":"Unsupervised Learning Optical Flow in Multi-frame Dynamic Environment Using Temporal Dynamic Modeling","created":"2023-04-14","cited_by_count":2,"area":null},{"id":"2304.14418","title":"SSTM: Spatiotemporal Recurrent Transformers for Multi-frame Optical Flow Estimation","created":"2023-04-26","cited_by_count":2,"area":null},{"id":"2207.03790","title":"Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction","created":"2022-07-08","cited_by_count":1,"area":null},{"id":"2207.07469","title":"USegScene: Unsupervised Learning of Depth, Optical Flow and Ego-Motion with Semantic Guidance and Coupled Networks","created":"2022-07-15","cited_by_count":1,"area":null},{"id":"2310.04712","title":"UFD-PRiME: Unsupervised Joint Learning of Optical Flow and Stereo Depth through Pixel-Level Rigid Motion Estimation","created":"2023-10-07","cited_by_count":1,"area":null},{"id":"2606.19938","title":"Triangular Consistency as a Universal Constraint for Learning Optical Flow","created":"2026-06-18","cited_by_count":1,"area":null},{"id":"2104.02615","title":"Optical Flow Dataset Synthesis from Unpaired Images","created":"2021-04-02","cited_by_count":0,"area":null},{"id":"2204.02164","title":"Joint Learning of Feature Extraction and Cost Aggregation for Semantic Correspondence","created":"2022-04-05","cited_by_count":0,"area":null},{"id":"2411.05225","title":"Breaking The Ice: Video Segmentation for Close-Range Ice-Covered Waters","created":"2024-11-07","cited_by_count":0,"area":null},{"id":"2508.09743","title":"HKT: A Biologically Inspired Framework for Modular Hereditary Knowledge Transfer in Neural Networks","created":"2025-08-13","cited_by_count":0,"area":null},{"id":"2603.22270","title":"GenOpticalFlow: A Generative Approach to Unsupervised Optical Flow Learning","created":"2026-03-23","cited_by_count":0,"area":null},{"id":"2604.10056","title":"U$^{2}$Flow: Uncertainty-Aware Unsupervised Optical Flow Estimation","created":"2026-04-11","cited_by_count":0,"area":null},{"id":"2606.12826","title":"DIMOS: Disentangling Instance-level Moving Object Segmentation","created":"2026-06-11","cited_by_count":0,"area":null}],"next_cursor":null}