{"total":32,"rows":[{"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":"2102.02629","title":"Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency","created":"2021-02-04","cited_by_count":58,"area":null},{"id":"2412.04472","title":"Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail","created":"2024-12-05","cited_by_count":47,"area":null},{"id":"2105.08248","title":"Self-Point-Flow: Self-Supervised Scene Flow Estimation from Point Clouds with Optimal Transport and Random Walk","created":"2021-05-18","cited_by_count":39,"area":null},{"id":"2302.04233","title":"SkyEye: Self-Supervised Bird's-Eye-View Semantic Mapping Using Monocular Frontal View Images","created":"2023-02-08","cited_by_count":35,"area":null},{"id":"2103.07094","title":"PVStereo: Pyramid Voting Module for End-to-End Self-Supervised Stereo Matching","created":"2021-03-12","cited_by_count":28,"area":null},{"id":"2407.07816","title":"A Survey on Deep Stereo Matching in the Twenties","created":"2024-07-10","cited_by_count":23,"area":null},{"id":"2104.04170","title":"Stereo Matching by Self-supervision of Multiscopic Vision","created":"2021-04-09","cited_by_count":14,"area":null},{"id":"2203.04554","title":"ChiTransformer:Towards Reliable Stereo from Cues","created":"2022-03-09","cited_by_count":14,"area":null},{"id":"2211.13755","title":"TemporalStereo: Efficient Spatial-Temporal Stereo Matching Network","created":"2022-11-24","cited_by_count":12,"area":null},{"id":"2509.05297","title":"FlowSeek: Optical Flow Made Easier with Depth Foundation Models and Motion Bases","created":"2025-09-05","cited_by_count":10,"area":null},{"id":"2309.00933","title":"Two-in-One Depth: Bridging the Gap Between Monocular and Binocular Self-supervised Depth Estimation","created":"2023-09-02","cited_by_count":8,"area":null},{"id":"2104.03097","title":"LIFE: Lighting Invariant Flow Estimation","created":"2021-04-07","cited_by_count":6,"area":null},{"id":"2407.21735","title":"EMatch: A Unified Framework for Event-based Optical Flow and Stereo Matching","created":"2024-07-31","cited_by_count":6,"area":null},{"id":"2109.15321","title":"Sensor-Guided Optical Flow","created":"2021-09-30","cited_by_count":4,"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":"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":"2103.07600","title":"Student-Teacher Learning from Clean Inputs to Noisy Inputs","created":"2021-03-13","cited_by_count":2,"area":null},{"id":"2509.19165","title":"RoSe: Robust Self-supervised Stereo Matching under Adverse Weather Conditions","created":"2025-09-23","cited_by_count":2,"area":null},{"id":"2604.10218","title":"SMFormer: Empowering Self-supervised Stereo Matching via Foundation Models and Data Augmentation","created":"2026-04-11","cited_by_count":2,"area":null},{"id":"2107.08186","title":"Co-Teaching: An Ark to Unsupervised Stereo Matching","created":"2021-07-17","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":"2108.08607","title":"Generating Superpixels for High-resolution Images with Decoupled Patch Calibration","created":"2021-08-19","cited_by_count":0,"area":null},{"id":"2408.10670","title":"A Noncontact Technique for Wave Measurement Based on Thermal Stereography and Deep Learning","created":"2024-08-20","cited_by_count":0,"area":null},{"id":"2410.02534","title":"Pseudo-Stereo Inputs: A Solution to the Occlusion Challenge in Self-Supervised Stereo Matching","created":"2024-10-03","cited_by_count":0,"area":null},{"id":"2508.01275","title":"Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching","created":"2025-08-02","cited_by_count":0,"area":null},{"id":"2508.10838","title":"MAGIC: Learning from Visibility Asymmetry for Unsupervised Stereo Matching","created":"2025-08-14","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":"2603.27904","title":"BINO: Encoder Centric Self Supervised Stereo With Native Pair Input","created":"2026-03-29","cited_by_count":0,"area":null},{"id":"2603.28759","title":"FlowIt: Global Matching via Hierarchical Transformers and Optimal Transport for Optical Flow","created":"2026-03-30","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":"2608.28341","title":"Cross-Spectral Dense Correspondence for Multimodal Spectral Medical Imaging","created":"2026-08-28","cited_by_count":0,"area":null}],"next_cursor":null}