{"total":22,"rows":[{"id":"2301.02074","title":"Test of Time: Instilling Video-Language Models with a Sense of Time","created":"2023-01-05","cited_by_count":51,"area":null},{"id":"2308.11796","title":"Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations","created":"2023-08-22","cited_by_count":35,"area":null},{"id":"2309.10787","title":"AV-SUPERB: A Multi-Task Evaluation Benchmark for Audio-Visual Representation Models","created":"2023-09-19","cited_by_count":19,"area":null},{"id":"2303.13505","title":"A Large-scale Study of Spatiotemporal Representation Learning with a New Benchmark on Action Recognition","created":"2023-03-23","cited_by_count":14,"area":null},{"id":"2407.15447","title":"SIGMA: Sinkhorn-Guided Masked Video Modeling","created":"2024-07-22","cited_by_count":14,"area":null},{"id":"2303.11003","title":"Tubelet-Contrastive Self-Supervision for Video-Efficient Generalization","created":"2023-03-20","cited_by_count":12,"area":null},{"id":"2312.13008","title":"No More Shortcuts: Realizing the Potential of Temporal Self-Supervision","created":"2023-12-20","cited_by_count":11,"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":"2306.06010","title":"A Large-Scale Analysis on Self-Supervised Video Representation Learning","created":"2023-06-09","cited_by_count":5,"area":null},{"id":"2410.12018","title":"LocoMotion: Learning Motion-Focused Video-Language Representations","created":"2024-10-15","cited_by_count":4,"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":"2409.01448","title":"FinePseudo: Improving Pseudo-Labelling through Temporal-Alignablity for Semi-Supervised Fine-Grained Action Recognition","created":"2024-09-02","cited_by_count":3,"area":null},{"id":"2504.06153","title":"A Large-Scale Analysis on Contextual Self-Supervised Video Representation Learning","created":"2025-04-08","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":"2408.00498","title":"How Effective are Self-Supervised Models for Contact Identification in Videos","created":"2024-08-01","cited_by_count":1,"area":null},{"id":"2411.17584","title":"Pre-training for Action Recognition with Automatically Generated Fractal Datasets","created":"2024-11-26","cited_by_count":1,"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":"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":"2609.23492","title":"CE$^4$L: Continual Ego, Exo, and Ego-Exo Learning","created":"2026-09-20","cited_by_count":0,"area":null},{"id":"2609.33419","title":"TT-VidT: Decoupling the Temporal Axis for Efficient Motion-Centric Video Pretraining","created":"2026-09-27","cited_by_count":0,"area":null}],"next_cursor":null}