{"total":48,"rows":[{"id":"2303.01237","title":"FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation","created":"2023-03-02","cited_by_count":114,"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":"2303.09875","title":"A Dynamic Multi-Scale Voxel Flow Network for Video Prediction","created":"2023-03-17","cited_by_count":53,"area":null},{"id":"2105.10697","title":"ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging","created":"2021-05-22","cited_by_count":51,"area":null},{"id":"2202.00732","title":"IFOR: Iterative Flow Minimization for Robotic Object Rearrangement","created":"2022-02-01","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":"2304.11523","title":"TransFlow: Transformer as Flow Learner","created":"2023-04-23","cited_by_count":32,"area":null},{"id":"2303.11011","title":"Learning Optical Flow from Event Camera with Rendered Dataset","created":"2023-03-20","cited_by_count":26,"area":null},{"id":"2502.13716","title":"Event-Based Video Frame Interpolation With Cross-Modal Asymmetric Bidirectional Motion Fields","created":"2025-02-19","cited_by_count":25,"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":"2201.10075","title":"Splatting-based Synthesis for Video Frame Interpolation","created":"2022-01-25","cited_by_count":20,"area":null},{"id":"2309.16217","title":"GAFlow: Incorporating Gaussian Attention into Optical Flow","created":"2023-09-28","cited_by_count":18,"area":null},{"id":"2211.09771","title":"Boosting Object Representation Learning via Motion and Object Continuity","created":"2022-11-16","cited_by_count":17,"area":null},{"id":"2103.13725","title":"GyroFlow: Gyroscope-Guided Unsupervised Optical Flow Learning","created":"2021-03-25","cited_by_count":15,"area":null},{"id":"2412.11365","title":"BiM-VFI: Bidirectional Motion Field-Guided Frame Interpolation for Video with Non-uniform Motions","created":"2024-12-16","cited_by_count":13,"area":null},{"id":"2212.07592","title":"Solve the Puzzle of Instance Segmentation in Videos: A Weakly Supervised Framework with Spatio-Temporal Collaboration","created":"2022-12-15","cited_by_count":11,"area":null},{"id":"2212.02763","title":"Semi-supervised Deep Large-baseline Homography Estimation with Progressive Equivalence Constraint","created":"2022-12-06","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":"2207.08794","title":"D$^3$FlowSLAM: Self-Supervised Dynamic SLAM with Flow Motion Decomposition and DINO Guidance","created":"2022-07-18","cited_by_count":9,"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":"2311.04246","title":"ADFactory: An Effective Framework for Generalizing Optical Flow with Nerf","created":"2023-11-07","cited_by_count":9,"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":"2309.06714","title":"MPI-Flow: Learning Realistic Optical Flow with Multiplane Images","created":"2023-09-13","cited_by_count":7,"area":null},{"id":"2302.14470","title":"Learning to Estimate Single-View Volumetric Flow Motions without 3D Supervision","created":"2023-02-28","cited_by_count":5,"area":null},{"id":"2307.06003","title":"Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera","created":"2023-07-12","cited_by_count":5,"area":null},{"id":"2309.01842","title":"StereoFlowGAN: Co-training for Stereo and Flow with Unsupervised Domain Adaptation","created":"2023-09-04","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":"2409.19178","title":"FLINT: Learning-based Flow Estimation and Temporal Interpolation for Scientific Ensemble Visualization","created":"2024-09-27","cited_by_count":4,"area":null},{"id":"2208.02305","title":"Unsupervised Flow Refinement near Motion Boundaries","created":"2022-08-03","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":"2306.05442","title":"FlowFormer: A Transformer Architecture and Its Masked Cost Volume Autoencoding for Optical Flow","created":"2023-06-08","cited_by_count":3,"area":null},{"id":"2403.06479","title":"Ada-Tracker: Soft Tissue Tracking via Inter-Frame and Adaptive-Template Matching","created":"2024-03-11","cited_by_count":3,"area":null},{"id":"2410.10453","title":"Self-Assessed Generation: Trustworthy Label Generation for Optical Flow and Stereo Matching in Real-world","created":"2024-10-14","cited_by_count":3,"area":null},{"id":"2411.14865","title":"Towards Dependable Optical Flow: Benchmarks for Real-World Spatiotemporal Corruptions","created":"2024-11-22","cited_by_count":3,"area":null},{"id":"2511.16124","title":"VTinker: Guided Flow Upsampling and Texture Mapping for High-Resolution Video Frame Interpolation","created":"2025-11-20","cited_by_count":3,"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":"2503.11371","title":"EMoTive: Event-guided Trajectory Modeling for 3D Motion Estimation","created":"2025-03-14","cited_by_count":2,"area":null},{"id":"2510.05558","title":"Midway Network: Learning Representations for Recognition and Motion from Latent Dynamics","created":"2025-10-07","cited_by_count":2,"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":"2501.07850","title":"An Intra- and Cross-frame Topological Consistency Scheme for Semi-supervised Atherosclerotic Coronary Plaque Segmentation","created":"2025-01-14","cited_by_count":1,"area":null},{"id":"2509.24423","title":"Rethinking Unsupervised Cross-modal Flow Estimation: Learning from Decoupled Optimization and Consistency Constraint","created":"2025-09-29","cited_by_count":1,"area":null},{"id":"2203.10670","title":"Fully Convolutional Fractional Scaling","created":"2022-03-20","cited_by_count":0,"area":null},{"id":"2308.15345","title":"IndGIC: Supervised Action Recognition under Low Illumination","created":"2023-08-29","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":"2602.13588","title":"Two-Stream Interactive Joint Learning of Scene Parsing and Geometric Vision Tasks","created":"2026-02-14","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}],"next_cursor":null}