{"total":90,"rows":[{"id":"2104.11178","title":"VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text","created":"2021-04-22","cited_by_count":429,"area":null},{"id":"2103.05905","title":"VideoMoCo: Contrastive Video Representation Learning with Temporally Adversarial Examples","created":"2021-03-10","cited_by_count":154,"area":null},{"id":"2104.07658","title":"Self-supervised Video Object Segmentation by Motion Grouping","created":"2021-04-15","cited_by_count":147,"area":null},{"id":"2101.07974","title":"TCLR: Temporal Contrastive Learning for Video Representation","created":"2021-01-20","cited_by_count":136,"area":null},{"id":"2104.14466","title":"3D Human Action Representation Learning via Cross-View Consistency Pursuit","created":"2021-04-29","cited_by_count":106,"area":null},{"id":"2207.00419","title":"Self-Supervised Learning for Videos: A Survey","created":"2022-06-18","cited_by_count":85,"area":null},{"id":"2107.00285","title":"iMiGUE: An Identity-free Video Dataset for Micro-Gesture Understanding and Emotion Analysis","created":"2021-07-01","cited_by_count":63,"area":null},{"id":"2201.05991","title":"Video Transformers: A Survey","created":"2022-01-16","cited_by_count":63,"area":null},{"id":"2307.15615","title":"A survey on deep learning in medical image registration: new technologies, uncertainty, evaluation metrics, and beyond","created":"2023-07-28","cited_by_count":55,"area":null},{"id":"2112.03596","title":"E$^2$(GO)MOTION: Motion Augmented Event Stream for Egocentric Action Recognition","created":"2021-12-07","cited_by_count":50,"area":null},{"id":"2101.01600","title":"Learning the Predictability of the Future","created":"2021-01-01","cited_by_count":49,"area":null},{"id":"2303.18230","title":"Procedure-Aware Pretraining for Instructional Video Understanding","created":"2023-03-31","cited_by_count":48,"area":null},{"id":"2109.15130","title":"Motion-aware Contrastive Video Representation Learning via Foreground-background Merging","created":"2021-09-30","cited_by_count":45,"area":null},{"id":"2105.05217","title":"Representation Learning via Global Temporal Alignment and Cycle-Consistency","created":"2021-05-11","cited_by_count":44,"area":null},{"id":"2108.02722","title":"Video Contrastive Learning with Global Context","created":"2021-08-05","cited_by_count":41,"area":null},{"id":"2108.11996","title":"Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers","created":"2021-08-26","cited_by_count":39,"area":null},{"id":"2210.06096","title":"Masked Motion Encoding for Self-Supervised Video Representation Learning","created":"2022-10-12","cited_by_count":39,"area":null},{"id":"2106.02342","title":"ASCNet: Self-supervised Video Representation Learning with Appearance-Speed Consistency","created":"2021-06-04","cited_by_count":35,"area":null},{"id":"2204.03946","title":"Probabilistic Representations for Video Contrastive Learning","created":"2022-04-08","cited_by_count":34,"area":null},{"id":"2103.10211","title":"Space-Time Crop & Attend: Improving Cross-modal Video Representation Learning","created":"2021-03-18","cited_by_count":31,"area":null},{"id":"2112.03587","title":"TCGL: Temporal Contrastive Graph for Self-supervised Video Representation Learning","created":"2021-12-07","cited_by_count":31,"area":null},{"id":"2112.09690","title":"Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition","created":"2021-12-17","cited_by_count":29,"area":null},{"id":"2108.08426","title":"Self-Supervised Video Representation Learning with Meta-Contrastive Network","created":"2021-08-19","cited_by_count":28,"area":null},{"id":"2304.11431","title":"A Review of Deep Learning for Video Captioning","created":"2023-04-22","cited_by_count":28,"area":null},{"id":"2203.14333","title":"Locality-Aware Inter-and Intra-Video Reconstruction for Self-Supervised Correspondence Learning","created":"2022-03-27","cited_by_count":26,"area":null},{"id":"2202.14019","title":"Domain Knowledge-Informed Self-Supervised Representations for Workout Form Assessment","created":"2022-02-28","cited_by_count":25,"area":null},{"id":"2107.07695","title":"Self-supervised Representation Learning Framework for Remote Physiological Measurement Using Spatiotemporal Augmentation Loss","created":"2021-07-16","cited_by_count":24,"area":null},{"id":"2203.16784","title":"Video-Text Representation Learning via Differentiable Weak Temporal Alignment","created":"2022-03-31","cited_by_count":24,"area":null},{"id":"2201.04029","title":"Motion-Focused Contrastive Learning of Video Representations","created":"2022-01-11","cited_by_count":23,"area":null},{"id":"2203.14221","title":"How Severe is Benchmark-Sensitivity in Video Self-Supervised Learning?","created":"2022-03-27","cited_by_count":23,"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":"2209.13583","title":"Learning State-Aware Visual Representations from Audible Interactions","created":"2022-09-27","cited_by_count":23,"area":null},{"id":"2112.05883","title":"Self-supervised Spatiotemporal Representation Learning by Exploiting Video Continuity","created":"2021-12-11","cited_by_count":22,"area":null},{"id":"2109.11593","title":"Long Short View Feature Decomposition via Contrastive Video Representation Learning","created":"2021-09-23","cited_by_count":21,"area":null},{"id":"2210.04154","title":"Self-supervised Video Representation Learning with Motion-Aware Masked Autoencoders","created":"2022-10-09","cited_by_count":20,"area":null},{"id":"2108.06435","title":"Focus on the Positives: Self-Supervised Learning for Biodiversity Monitoring","created":"2021-08-14","cited_by_count":16,"area":null},{"id":"2104.04715","title":"Object Priors for Classifying and Localizing Unseen Actions","created":"2021-04-10","cited_by_count":15,"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":"2406.08473","title":"Strategies for Pretraining Neural Operators","created":"2024-06-12","cited_by_count":14,"area":null},{"id":"2104.00616","title":"Composable Augmentation Encoding for Video Representation Learning","created":"2021-04-01","cited_by_count":13,"area":null},{"id":"2107.11851","title":"Transcript to Video: Efficient Clip Sequencing from Texts","created":"2021-07-25","cited_by_count":13,"area":null},{"id":"2107.12569","title":"Self-Supervised Video Object Segmentation by Motion-Aware Mask Propagation","created":"2021-07-27","cited_by_count":11,"area":null},{"id":"2106.09703","title":"MaCLR: Motion-aware Contrastive Learning of Representations for Videos","created":"2021-06-17","cited_by_count":10,"area":null},{"id":"2109.13921","title":"Click-through Rate Prediction with Auto-Quantized Contrastive Learning","created":"2021-09-27","cited_by_count":7,"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":"2312.00826","title":"DEVIAS: Learning Disentangled Video Representations of Action and Scene","created":"2023-11-30","cited_by_count":7,"area":null},{"id":"2405.15813","title":"From CNNs to Transformers in Multimodal Human Action Recognition: A Survey","created":"2024-05-22","cited_by_count":7,"area":null},{"id":"2101.00820","title":"Temporal Contrastive Graph Learning for Video Action Recognition and Retrieval","created":"2021-01-04","cited_by_count":6,"area":null},{"id":"2104.05418","title":"Contrastive Learning of Global-Local Video Representations","created":"2021-04-07","cited_by_count":6,"area":null},{"id":"2106.10137","title":"Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting","created":"2021-06-18","cited_by_count":6,"area":null},{"id":"2212.04902","title":"Self-Supervised PPG Representation Learning Shows High Inter-Subject Variability","created":"2022-12-07","cited_by_count":6,"area":null},{"id":"2401.15900","title":"MV2MAE: Multi-View Video Masked Autoencoders","created":"2024-01-29","cited_by_count":6,"area":null},{"id":"2102.10378","title":"Self-Supervised Learning via multi-Transformation Classification for Action Recognition","created":"2021-02-20","cited_by_count":5,"area":null},{"id":"2107.01194","title":"Inter-intra Variant Dual Representations forSelf-supervised Video Recognition","created":"2021-07-02","cited_by_count":5,"area":null},{"id":"2107.03578","title":"Video 3D Sampling for Self-supervised Representation Learning","created":"2021-07-08","cited_by_count":5,"area":null},{"id":"2112.04480","title":"Exploring Temporal Granularity in Self-Supervised Video Representation Learning","created":"2021-12-08","cited_by_count":5,"area":null},{"id":"2204.12293","title":"Contrastive Language-Action Pre-training for Temporal Localization","created":"2022-04-26","cited_by_count":5,"area":null},{"id":"2207.08095","title":"Learning from Temporal Spatial Cubism for Cross-Dataset Skeleton-based Action Recognition","created":"2022-07-17","cited_by_count":4,"area":null},{"id":"2308.04589","title":"Temporal DINO: A Self-supervised Video Strategy to Enhance Action Prediction","created":"2023-08-08","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":"2505.23012","title":"Spatio-Temporal Joint Density Driven Learning for Skeleton-Based Action Recognition","created":"2025-05-29","cited_by_count":4,"area":null},{"id":"2104.14131","title":"Actor-centered Representations for Action Localization in Streaming Videos","created":"2021-04-29","cited_by_count":3,"area":null},{"id":"2308.12447","title":"MOFO: MOtion FOcused Self-Supervision for Video Understanding","created":"2023-08-23","cited_by_count":3,"area":null},{"id":"2106.08513","title":"Watching Too Much Television is Good: Self-Supervised Audio-Visual Representation Learning from Movies and TV Shows","created":"2021-06-16","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":"2204.12729","title":"Human-Centered Prior-Guided and Task-Dependent Multi-Task Representation Learning for Action Recognition Pre-Training","created":"2022-04-27","cited_by_count":2,"area":null},{"id":"2205.00073","title":"On Negative Sampling for Audio-Visual Contrastive Learning from Movies","created":"2022-04-29","cited_by_count":2,"area":null},{"id":"2211.01184","title":"Joint Data and Feature Augmentation for Self-Supervised Representation Learning on Point Clouds","created":"2022-11-02","cited_by_count":2,"area":null},{"id":"2212.11187","title":"Similarity Contrastive Estimation for Image and Video Soft Contrastive Self-Supervised Learning","created":"2022-12-21","cited_by_count":2,"area":null},{"id":"2403.02753","title":"Learning Group Activity Features Through Person Attribute Prediction","created":"2024-03-05","cited_by_count":2,"area":null},{"id":"2405.02961","title":"JOSENet: A Joint Stream Embedding Network for Violence Detection in Surveillance Videos","created":"2024-05-05","cited_by_count":2,"area":null},{"id":"2106.00537","title":"Exploring the Diversity and Invariance in Yourself for Visual Pre-Training Task","created":"2021-06-01","cited_by_count":1,"area":null},{"id":"2109.12493","title":"Self-Supervised Video Representation Learning by Video Incoherence Detection","created":"2021-09-26","cited_by_count":1,"area":null},{"id":"2110.01015","title":"Spatio-Temporal Video Representation Learning for AI Based Video Playback Style Prediction","created":"2021-10-03","cited_by_count":1,"area":null},{"id":"2209.00760","title":"Temporal Contrastive Learning with Curriculum","created":"2022-09-02","cited_by_count":1,"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":"2505.16594","title":"Temporal Object Captioning for Street Scene Videos from LiDAR Tracks","created":"2025-05-22","cited_by_count":1,"area":null},{"id":"2507.08375","title":"Unsupervised Methods for Video Quality Improvement: A Survey of Restoration and Enhancement Techniques","created":"2025-07-11","cited_by_count":1,"area":null},{"id":"2605.30352","title":"GMOS: Grounding Moving Object Segmentation in 3D Space and Time","created":"2026-05-28","cited_by_count":1,"area":null},{"id":"2105.04208","title":"Action Shuffling for Weakly Supervised Temporal Localization","created":"2021-05-10","cited_by_count":0,"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":"2401.07584","title":"Collaboratively Self-supervised Video Representation Learning for Action Recognition","created":"2024-01-15","cited_by_count":0,"area":null},{"id":"2405.12757","title":"BIMM: Brain Inspired Masked Modeling for Video Representation Learning","created":"2024-05-21","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":"2509.10543","title":"Robust DDoS-Attack Classification with 3D CNNs Against Adversarial Methods","created":"2025-09-07","cited_by_count":0,"area":null},{"id":"2511.00028","title":"Mutual Information guided Visual Contrastive Learning","created":"2025-10-26","cited_by_count":0,"area":null},{"id":"2605.20838","title":"USV: Towards Understanding the User-generated Short-form Videos","created":"2026-05-20","cited_by_count":0,"area":null},{"id":"2606.21358","title":"LEViL: Label-Efficient Video Learning via Zero-Shot Distillation over VLM-Generated Pseudo-Label Spaces","created":"2026-06-19","cited_by_count":0,"area":null},{"id":"2608.12045","title":"Localizing to Debias: A Patch-Level Benchmark and Baseline for Weakly Supervised Spatial Anomaly Detection","created":"2026-08-12","cited_by_count":0,"area":null}],"next_cursor":null}