{"total":21,"rows":[{"id":"2409.00638","title":"IGEV++: Iterative Multi-range Geometry Encoding Volumes for Stereo Matching","created":"2024-09-01","cited_by_count":59,"area":null},{"id":"2501.09466","title":"DEFOM-Stereo: Depth Foundation Model Based Stereo Matching","created":"2025-01-16","cited_by_count":52,"area":null},{"id":"2404.06842","title":"MoCha-Stereo: Motif Channel Attention Network for Stereo Matching","created":"2024-04-10","cited_by_count":48,"area":null},{"id":"2404.06261","title":"Playing to Vision Foundation Model's Strengths in Stereo Matching","created":"2024-04-09","cited_by_count":23,"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":"2403.07705","title":"Robust Synthetic-to-Real Transfer for Stereo Matching","created":"2024-03-12","cited_by_count":15,"area":null},{"id":"2405.14873","title":"Federated Online Adaptation for Deep Stereo","created":"2024-05-23","cited_by_count":12,"area":null},{"id":"2409.20283","title":"Match Stereo Videos via Bidirectional Alignment","created":"2024-09-30","cited_by_count":11,"area":null},{"id":"2503.05549","title":"Stereo Any Video: Temporally Consistent Stereo Matching","created":"2025-03-07","cited_by_count":8,"area":null},{"id":"2411.12426","title":"Motif Channel Opened in a White-Box: Stereo Matching via Motif Correlation Graph","created":"2024-11-19","cited_by_count":5,"area":null},{"id":"2501.01023","title":"Hadamard Attention Recurrent Transformer: A Strong Baseline for Stereo Matching Transformer","created":"2025-01-02","cited_by_count":2,"area":null},{"id":"2507.08400","title":"PanMatch: Unleashing the Potential of Large Vision Models for Unified Matching Models","created":"2025-07-11","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":"2406.06953","title":"SR-Stereo & DAPE: Stepwise Regression and Pre-trained Edges for Practical Stereo Matching","created":"2024-06-11","cited_by_count":1,"area":null},{"id":"2410.06527","title":"The Sampling-Gaussian for stereo matching","created":"2024-10-09","cited_by_count":1,"area":null},{"id":"2412.18703","title":"Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching","created":"2024-12-24","cited_by_count":1,"area":null},{"id":"2406.10943","title":"Rectified Iterative Disparity for Stereo Matching","created":"2024-06-16","cited_by_count":0,"area":null},{"id":"2504.21302","title":"CMD: Constraining Multimodal Distribution for Domain Adaptation in Stereo Matching","created":"2025-04-30","cited_by_count":0,"area":null},{"id":"2505.18741","title":"MoMBS: Mixed-order minibatch sampling enhances model training from diverse-quality images","created":"2025-05-24","cited_by_count":0,"area":null},{"id":"2510.20178","title":"PPMStereo: Pick-and-Play Memory Construction for Consistent Dynamic Stereo Matching","created":"2025-10-23","cited_by_count":0,"area":null}],"next_cursor":null}