{"total":24,"rows":[{"id":"2504.01017","title":"Scaling Language-Free Visual Representation Learning","created":"2025-04-01","cited_by_count":66,"area":null},{"id":"2403.17823","title":"Efficient Image Pre-Training with Siamese Cropped Masked Autoencoders","created":"2024-03-26","cited_by_count":17,"area":null},{"id":"2407.15447","title":"SIGMA: Sinkhorn-Guided Masked Video Modeling","created":"2024-07-22","cited_by_count":14,"area":null},{"id":"2401.00897","title":"Masked Modeling for Self-supervised Representation Learning on Vision and Beyond","created":"2023-12-31","cited_by_count":13,"area":null},{"id":"2512.15715","title":"In Pursuit of Pixel Supervision for Visual Pre-training","created":"2025-12-17","cited_by_count":13,"area":null},{"id":"2504.00527","title":"SMILE: Infusing Spatial and Motion Semantics in Masked Video Learning","created":"2025-04-01","cited_by_count":9,"area":null},{"id":"2408.00759","title":"Text-Guided Video Masked Autoencoder","created":"2024-08-01","cited_by_count":8,"area":null},{"id":"2312.13714","title":"Bootstrap Masked Visual Modeling via Hard Patches Mining","created":"2023-12-21","cited_by_count":5,"area":null},{"id":"2504.05706","title":"SEVERE++: Evaluating Benchmark Sensitivity in Generalization of Video Representation Learning","created":"2025-04-08","cited_by_count":4,"area":null},{"id":"2506.11777","title":"Self-supervised Learning of Echocardiographic Video Representations via Online Cluster Distillation","created":"2025-06-13","cited_by_count":4,"area":null},{"id":"2508.00913","title":"TESPEC: Temporally-Enhanced Self-Supervised Pretraining for Event Cameras","created":"2025-07-29","cited_by_count":4,"area":null},{"id":"2409.02371","title":"Unfolding Videos Dynamics via Taylor Expansion","created":"2024-09-04","cited_by_count":3,"area":null},{"id":"2411.13683","title":"Extending Video Masked Autoencoders to 128 frames","created":"2024-11-20","cited_by_count":3,"area":null},{"id":"2504.03501","title":"LV-MAE: Learning Long Video Representations through Masked-Embedding Autoencoders","created":"2025-04-04","cited_by_count":3,"area":null},{"id":"2603.27268","title":"TrackMAE: Video Representation Learning via Track Mask and Predict","created":"2026-03-28","cited_by_count":3,"area":null},{"id":"2508.15404","title":"From Linearity to Non-Linearity: How Masked Autoencoders Capture Spatial Correlations","created":"2025-08-21","cited_by_count":2,"area":null},{"id":"2503.16311","title":"Structured-Noise Masked Modeling for Video, Audio and Beyond","created":"2025-03-20","cited_by_count":1,"area":null},{"id":"2505.19218","title":"Advancing Video Self-Supervised Learning via Image Foundation Models","created":"2025-05-25","cited_by_count":1,"area":null},{"id":"2407.14069","title":"Self-Supervised Video Representation Learning in a Heuristic Decoupled Perspective","created":"2024-07-19","cited_by_count":0,"area":null},{"id":"2601.00311","title":"ReMA: A Training-Free Plug-and-Play Mixing Augmentation for Video Behavior Recognition","created":"2026-01-01","cited_by_count":0,"area":null},{"id":"2603.25778","title":"Focus-to-Perceive Representation Learning: A Cognition-Inspired Hierarchical Framework for Endoscopic Video Analysis","created":"2026-03-26","cited_by_count":0,"area":null},{"id":"2607.08514","title":"Do Egocentric Video-Language Models Capture Both Hand- and Object-Centric Cues?","created":"2026-07-09","cited_by_count":0,"area":null},{"id":"2609.32481","title":"JEPA Learns What the Mask Leaves Unrecoverable","created":"2026-09-26","cited_by_count":0,"area":null},{"id":"2609.40347","title":"Image Classifiers are Efficient Self-Supervised Video Representation Learners","created":"2026-09-30","cited_by_count":0,"area":null}],"next_cursor":null}