{"total":41,"rows":[{"id":"2302.03024","title":"AIM: Adapting Image Models for Efficient Video Action Recognition","created":"2023-02-06","cited_by_count":148,"area":null},{"id":"2202.13589","title":"Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey","created":"2022-02-28","cited_by_count":54,"area":null},{"id":"2203.14957","title":"Frame-wise Action Representations for Long Videos via Sequence Contrastive Learning","created":"2022-03-28","cited_by_count":27,"area":null},{"id":"2207.12795","title":"Static and Dynamic Concepts for Self-supervised Video Representation Learning","created":"2022-07-26","cited_by_count":23,"area":null},{"id":"2204.03017","title":"Learning from Untrimmed Videos: Self-Supervised Video Representation Learning with Hierarchical Consistency","created":"2022-04-06","cited_by_count":15,"area":null},{"id":"2207.05340","title":"Dual Contrastive Learning for Spatio-temporal Representation","created":"2022-07-12","cited_by_count":15,"area":null},{"id":"2303.13009","title":"MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation Models","created":"2023-03-23","cited_by_count":15,"area":null},{"id":"2408.11054","title":"Near, far: Patch-ordering enhances vision foundation models' scene understanding","created":"2024-08-20","cited_by_count":15,"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":"2301.00794","title":"STEPs: Self-Supervised Key Step Extraction and Localization from Unlabeled Procedural Videos","created":"2023-01-02","cited_by_count":13,"area":null},{"id":"2112.08913","title":"Contrastive Spatio-Temporal Pretext Learning for Self-supervised Video Representation","created":"2021-12-16","cited_by_count":11,"area":null},{"id":"2203.15381","title":"Alignment-Uniformity aware Representation Learning for Zero-shot Video Classification","created":"2022-03-29","cited_by_count":11,"area":null},{"id":"2203.16632","title":"Controllable Augmentations for Video Representation Learning","created":"2022-03-30","cited_by_count":10,"area":null},{"id":"2210.05234","title":"It Takes Two: Masked Appearance-Motion Modeling for Self-supervised Video Transformer Pre-training","created":"2022-10-11","cited_by_count":10,"area":null},{"id":"2205.05487","title":"Scene Consistency Representation Learning for Video Scene Segmentation","created":"2022-05-11","cited_by_count":9,"area":null},{"id":"2309.00297","title":"Fine-Grained Spatiotemporal Motion Alignment for Contrastive Video Representation Learning","created":"2023-09-01","cited_by_count":7,"area":null},{"id":"2605.24500","title":"EgoAdapt: A Multi-Scene Egocentric Adaptation Method for CVPR 2026 HD-EPIC VQA Challenge","created":"2026-05-23","cited_by_count":7,"area":null},{"id":"2309.02450","title":"Self-Supervised Video Transformers for Isolated Sign Language Recognition","created":"2023-09-02","cited_by_count":6,"area":null},{"id":"2208.01036","title":"Face-to-Face Contrastive Learning for Social Intelligence Question-Answering","created":"2022-07-29","cited_by_count":5,"area":null},{"id":"2404.09259","title":"FedCCL: Federated Dual-Clustered Feature Contrast Under Domain Heterogeneity","created":"2024-04-14","cited_by_count":5,"area":null},{"id":"2405.15160","title":"ARVideo: Autoregressive Pretraining for Self-Supervised Video Representation Learning","created":"2024-05-24","cited_by_count":5,"area":null},{"id":"2404.06776","title":"Logit Calibration and Feature Contrast for Robust Federated Learning on Non-IID Data","created":"2024-04-10","cited_by_count":4,"area":null},{"id":"2207.03866","title":"Pixel-level Correspondence for Self-Supervised Learning from Video","created":"2022-07-08","cited_by_count":3,"area":null},{"id":"2207.11581","title":"Self-supervised contrastive learning of echocardiogram videos enables label-efficient cardiac disease diagnosis","created":"2022-07-23","cited_by_count":3,"area":null},{"id":"2210.05574","title":"Motion Aware Self-Supervision for Generic Event Boundary Detection","created":"2022-10-11","cited_by_count":3,"area":null},{"id":"2305.04123","title":"Transform-Equivariant Consistency Learning for Temporal Sentence Grounding","created":"2023-05-06","cited_by_count":3,"area":null},{"id":"2310.18926","title":"CHAIN: Exploring Global-Local Spatio-Temporal Information for Improved Self-Supervised Video Hashing","created":"2023-10-29","cited_by_count":3,"area":null},{"id":"2511.14440","title":"Learning to See Through a Baby's Eyes: Early Visual Diets Enable Robust Visual Intelligence in Humans and Machines","created":"2025-11-18","cited_by_count":3,"area":null},{"id":"2108.10501","title":"ParamCrop: Parametric Cubic Cropping for Video Contrastive Learning","created":"2021-08-24","cited_by_count":2,"area":null},{"id":"2201.07989","title":"Self-supervised Video Representation Learning with Cascade Positive Retrieval","created":"2022-01-20","cited_by_count":2,"area":null},{"id":"2506.17516","title":"EASE: Embodied Active Event Perception via Self-Supervised Energy Minimization","created":"2025-06-20","cited_by_count":2,"area":null},{"id":"2511.12321","title":"Learning Time in Static Classifiers","created":"2025-11-15","cited_by_count":2,"area":null},{"id":"2203.09343","title":"CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in Segmentation","created":"2022-03-17","cited_by_count":1,"area":null},{"id":"2212.03125","title":"Self-supervised and Weakly Supervised Contrastive Learning for Frame-wise Action Representations","created":"2022-12-06","cited_by_count":1,"area":null},{"id":"2409.00120","title":"ConCSE: Unified Contrastive Learning and Augmentation for Code-Switched Embeddings","created":"2024-08-28","cited_by_count":1,"area":null},{"id":"2303.07317","title":"Nearest-Neighbor Inter-Intra Contrastive Learning from Unlabeled Videos","created":"2023-03-13","cited_by_count":0,"area":null},{"id":"2311.10873","title":"Multi-entity Video Transformers for Fine-Grained Video Representation Learning","created":"2023-11-17","cited_by_count":0,"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":"2505.06710","title":"SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images","created":"2025-05-10","cited_by_count":0,"area":null},{"id":"2506.17403","title":"Spatial-Temporal Pre-Training for Embryo Viability Prediction Using Time-Lapse Videos","created":"2025-06-20","cited_by_count":0,"area":null},{"id":"2610.17098","title":"Contrastive learning for video reuse detection","created":"2026-10-12","cited_by_count":0,"area":null}],"next_cursor":null}