{"total":22,"rows":[{"id":"2603.14482","title":"V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning","created":"2026-03-15","cited_by_count":117,"area":null},{"id":"2504.01017","title":"Scaling Language-Free Visual Representation Learning","created":"2025-04-01","cited_by_count":66,"area":null},{"id":"2509.14476","title":"AToken: A Unified Tokenizer for Vision","created":"2025-09-17","cited_by_count":30,"area":null},{"id":"2509.24317","title":"Rethinking JEPA: Compute-Efficient Video SSL with Frozen Teachers","created":"2025-09-29","cited_by_count":12,"area":null},{"id":"2602.08683","title":"OneVision-Encoder: Codec-Aligned Sparsity as a Foundational Principle for Multimodal Intelligence","created":"2026-02-09","cited_by_count":12,"area":null},{"id":"2509.08502","title":"Chirality in Action: Time-Aware Video Representation Learning by Latent Straightening","created":"2025-09-10","cited_by_count":11,"area":null},{"id":"2512.13684","title":"Recurrent Video Masked Autoencoders","created":"2025-12-15","cited_by_count":10,"area":null},{"id":"2507.03578","title":"SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications","created":"2025-07-04","cited_by_count":6,"area":null},{"id":"2506.08694","title":"MoSiC: Optimal-Transport Motion Trajectory for Dense Self-Supervised Learning","created":"2025-06-10","cited_by_count":5,"area":null},{"id":"2511.02767","title":"Dynamic Reflections: Probing Video Representations with Text Alignment","created":"2025-11-04","cited_by_count":5,"area":null},{"id":"2606.15956","title":"You Don't Need Strong Assumptions: Visual Representation Learning via Temporal Differences","created":"2026-06-14","cited_by_count":5,"area":null},{"id":"2507.13942","title":"Frozen Forecasting: A Unified Evaluation","created":"2025-07-18","cited_by_count":4,"area":null},{"id":"2509.10156","title":"LayerLock: Non-collapsing Representation Learning with Progressive Freezing","created":"2025-09-12","cited_by_count":4,"area":null},{"id":"2507.11540","title":"Towards Depth Foundation Model: Recent Trends in Vision-Based Depth Estimation","created":"2025-07-15","cited_by_count":2,"area":null},{"id":"2512.04085","title":"Unique Lives, Shared World: Learning from Single-Life Videos","created":"2025-12-03","cited_by_count":2,"area":null},{"id":"2607.14228","title":"SeeSE3: Emergence of 3D Space in Vision Features","created":"2026-07-15","cited_by_count":1,"area":null},{"id":"2512.22489","title":"Tracking by Predicting 3-D Gaussians Over Time","created":"2025-12-27","cited_by_count":0,"area":null},{"id":"2604.27448","title":"LA-Pose: Latent Action Pretraining Meets Pose Estimation","created":"2026-04-30","cited_by_count":0,"area":null},{"id":"2605.19137","title":"Towards Data-Efficient Video Pre-training with Frozen Image Foundation Models","created":"2026-05-18","cited_by_count":0,"area":null},{"id":"2606.03837","title":"Where Do We (Not) Need Temporal Context in Low-Resource Video Task Adaptation?","created":"2026-06-02","cited_by_count":0,"area":null},{"id":"2607.21576","title":"Self-Supervised Learning of Structured Dynamics from Videos","created":"2026-07-23","cited_by_count":0,"area":null},{"id":"2608.13183","title":"A Controlled Study of Self-Supervised Image and Video Pretraining under Limited Resources","created":"2026-08-13","cited_by_count":0,"area":null}],"next_cursor":null}