{"total":20,"rows":[{"id":"2110.04994","title":"Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans","created":"2021-10-11","cited_by_count":336,"area":null},{"id":"2104.02409","title":"Learning to Estimate Hidden Motions with Global Motion Aggregation","created":"2021-04-06","cited_by_count":224,"area":null},{"id":"2207.07522","title":"Bi-PointFlowNet: Bidirectional Learning for Point Cloud Based Scene Flow Estimation","created":"2022-07-15","cited_by_count":38,"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":"2108.03427","title":"Learning Facial Representations from the Cycle-consistency of Face","created":"2021-08-07","cited_by_count":20,"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":"2510.21356","title":"Gaze-VLM:Bridging Gaze and VLMs through Attention Regularization for Egocentric Understanding","created":"2025-10-24","cited_by_count":11,"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":"2409.17001","title":"Adverse Weather Optical Flow: Cumulative Homogeneous-Heterogeneous Adaptation","created":"2024-09-25","cited_by_count":4,"area":null},{"id":"2307.09696","title":"Towards Saner Deep Image Registration","created":"2023-07-19","cited_by_count":3,"area":null},{"id":"2201.11937","title":"Stereo Matching with Cost Volume based Sparse Disparity Propagation","created":"2022-01-28","cited_by_count":1,"area":null},{"id":"2401.05879","title":"YOIO: You Only Iterate Once by mining and fusing multiple necessary global information in the optical flow estimation","created":"2024-01-11","cited_by_count":1,"area":null},{"id":"2109.04843","title":"Temporally Coherent Person Matting Trained on Fake-Motion Dataset","created":"2021-09-10","cited_by_count":0,"area":null},{"id":"2208.03620","title":"Learning Omnidirectional Flow in 360-degree Video via Siamese Representation","created":"2022-08-07","cited_by_count":0,"area":null},{"id":"2209.06562","title":"INV-Flow2PoseNet: Light-Resistant Rigid Object Pose from Optical Flow of RGB-D Images using Images, Normals and Vertices","created":"2022-09-14","cited_by_count":0,"area":null},{"id":"2301.11880","title":"Optical Flow Estimation in 360$^\\circ$ Videos: Dataset, Model and Application","created":"2023-01-27","cited_by_count":0,"area":null},{"id":"2403.00211","title":"Trustworthy Self-Attention: Enabling the Network to Focus Only on the Most Relevant References","created":"2024-03-01","cited_by_count":0,"area":null},{"id":"2405.12512","title":"Rethink Predicting the Optical Flow with the Kinetics Perspective","created":"2024-05-21","cited_by_count":0,"area":null},{"id":"2507.02307","title":"Flow-CDNet: A Novel Network for Detecting Both Slow and Fast Changes in Bitemporal Images","created":"2025-07-03","cited_by_count":0,"area":null},{"id":"2603.23190","title":"Gaze-Regularized VLMs for Ego-Centric Behavior Understanding","created":"2026-03-24","cited_by_count":0,"area":null}],"next_cursor":null}