{"total":85,"rows":[{"id":"2106.09696","title":"BABEL: Bodies, Action and Behavior with English Labels","created":"2021-06-17","cited_by_count":265,"area":null},{"id":"2110.08568","title":"ASFormer: Transformer for Action Segmentation","created":"2021-10-16","cited_by_count":168,"area":null},{"id":"2207.00419","title":"Self-Supervised Learning for Videos: A Survey","created":"2022-06-18","cited_by_count":85,"area":null},{"id":"2105.07404","title":"MultiSports: A Multi-Person Video Dataset of Spatio-Temporally Localized Sports Actions","created":"2021-05-16","cited_by_count":84,"area":null},{"id":"2106.11149","title":"OadTR: Online Action Detection with Transformers","created":"2021-06-21","cited_by_count":83,"area":null},{"id":"2105.11107","title":"FineAction: A Fine-Grained Video Dataset for Temporal Action Localization","created":"2021-05-24","cited_by_count":61,"area":null},{"id":"2403.14622","title":"Language Repository for Long Video Understanding","created":"2024-03-21","cited_by_count":55,"area":null},{"id":"2105.04489","title":"Spoken Moments: Learning Joint Audio-Visual Representations from Video Descriptions","created":"2021-05-10","cited_by_count":53,"area":null},{"id":"2312.14556","title":"CaptainCook4D: A Dataset for Understanding Errors in Procedural Activities","created":"2023-12-22","cited_by_count":51,"area":null},{"id":"2401.11174","title":"Pixel-Wise Recognition for Holistic Surgical Scene Understanding","created":"2024-01-20","cited_by_count":49,"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":"2112.03902","title":"MS-TCT: Multi-Scale Temporal ConvTransformer for Action Detection","created":"2021-12-07","cited_by_count":42,"area":null},{"id":"2207.10213","title":"Spotting Temporally Precise, Fine-Grained Events in Video","created":"2022-07-20","cited_by_count":40,"area":null},{"id":"2106.08827","title":"JRDB-Act: A Large-scale Dataset for Spatio-temporal Action, Social Group and Activity Detection","created":"2021-06-16","cited_by_count":39,"area":null},{"id":"2404.00989","title":"360+x: A Panoptic Multi-modal Scene Understanding Dataset","created":"2024-04-01","cited_by_count":35,"area":null},{"id":"2103.03027","title":"Modeling Multi-Label Action Dependencies for Temporal Action Localization","created":"2021-03-04","cited_by_count":32,"area":null},{"id":"2110.00111","title":"Deep Learning-based Action Detection in Untrimmed Videos: A Survey","created":"2021-09-30","cited_by_count":32,"area":null},{"id":"2103.01302","title":"Coarse-Fine Networks for Temporal Activity Detection in Videos","created":"2021-03-01","cited_by_count":28,"area":null},{"id":"2303.09055","title":"TemporalMaxer: Maximize Temporal Context with only Max Pooling for Temporal Action Localization","created":"2023-03-16","cited_by_count":28,"area":null},{"id":"2305.15701","title":"Action Sensitivity Learning for Temporal Action Localization","created":"2023-05-25","cited_by_count":28,"area":null},{"id":"2104.14135","title":"Action Unit Memory Network for Weakly Supervised Temporal Action Localization","created":"2021-04-29","cited_by_count":26,"area":null},{"id":"2211.09119","title":"Token Turing Machines","created":"2022-11-16","cited_by_count":25,"area":null},{"id":"2210.11035","title":"PointTAD: Multi-Label Temporal Action Detection with Learnable Query Points","created":"2022-10-20","cited_by_count":22,"area":null},{"id":"2203.01057","title":"Colar: Effective and Efficient Online Action Detection by Consulting Exemplars","created":"2022-03-02","cited_by_count":21,"area":null},{"id":"2404.05392","title":"T-DEED: Temporal-Discriminability Enhancer Encoder-Decoder for Precise Event Spotting in Sports Videos","created":"2024-04-08","cited_by_count":21,"area":null},{"id":"2404.00653","title":"Dual DETRs for Multi-Label Temporal Action Detection","created":"2024-03-31","cited_by_count":20,"area":null},{"id":"2407.05311","title":"MMAD: Multi-label Micro-Action Detection in Videos","created":"2024-07-07","cited_by_count":20,"area":null},{"id":"2110.13473","title":"CTRN: Class-Temporal Relational Network for Action Detection","created":"2021-10-26","cited_by_count":15,"area":null},{"id":"2101.06636","title":"Coarse Temporal Attention Network (CTA-Net) for Driver's Activity Recognition","created":"2021-01-17","cited_by_count":14,"area":null},{"id":"2202.11485","title":"Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences","created":"2022-02-17","cited_by_count":14,"area":null},{"id":"2104.08030","title":"Temporally smooth online action detection using cycle-consistent future anticipation","created":"2021-04-16","cited_by_count":13,"area":null},{"id":"2309.05590","title":"Temporal Action Localization with Enhanced Instant Discriminability","created":"2023-09-11","cited_by_count":13,"area":null},{"id":"2204.07892","title":"Video Action Detection: Analysing Limitations and Challenges","created":"2022-04-17","cited_by_count":12,"area":null},{"id":"2311.17948","title":"Action-slot: Visual Action-centric Representations for Multi-label Atomic Activity Recognition in Traffic Scenes","created":"2023-11-29","cited_by_count":12,"area":null},{"id":"2206.05291","title":"ProActive: Self-Attentive Temporal Point Process Flows for Activity Sequences","created":"2022-06-10","cited_by_count":11,"area":null},{"id":"2307.03353","title":"A Survey of Deep Learning in Sports Applications: Perception, Comprehension, and Decision","created":"2023-07-07","cited_by_count":11,"area":null},{"id":"2309.17257","title":"A Survey on Deep Learning Techniques for Action Anticipation","created":"2023-09-29","cited_by_count":11,"area":null},{"id":"2104.13817","title":"Sign Segmentation with Changepoint-Modulated Pseudo-Labelling","created":"2021-04-28","cited_by_count":10,"area":null},{"id":"2401.16424","title":"Computer Vision for Primate Behavior Analysis in the Wild","created":"2024-01-29","cited_by_count":10,"area":null},{"id":"2502.20361","title":"OpenTAD: A Unified Framework and Comprehensive Study of Temporal Action Detection","created":"2025-02-27","cited_by_count":10,"area":null},{"id":"2406.09646","title":"A Survey of Video Datasets for Grounded Event Understanding","created":"2024-06-14","cited_by_count":9,"area":null},{"id":"2410.14045","title":"Human Action Anticipation: A Survey","created":"2024-10-17","cited_by_count":9,"area":null},{"id":"2309.06130","title":"JOADAA: joint online action detection and action anticipation","created":"2023-09-12","cited_by_count":7,"area":null},{"id":"2109.03393","title":"Learning to Discriminate Information for Online Action Detection: Analysis and Application","created":"2021-09-08","cited_by_count":6,"area":null},{"id":"2308.05051","title":"PAT: Position-Aware Transformer for Dense Multi-Label Action Detection","created":"2023-08-09","cited_by_count":6,"area":null},{"id":"2308.11244","title":"Are current long-term video understanding datasets long-term?","created":"2023-08-22","cited_by_count":6,"area":null},{"id":"2410.03302","title":"Action Selection Learning for Multi-label Multi-view Action Recognition","created":"2024-10-04","cited_by_count":6,"area":null},{"id":"2107.05140","title":"Review of Video Predictive Understanding: Early Action Recognition and Future Action Prediction","created":"2021-07-11","cited_by_count":5,"area":null},{"id":"2111.13675","title":"Weakly-guided Self-supervised Pretraining for Temporal Activity Detection","created":"2021-11-26","cited_by_count":5,"area":null},{"id":"2206.11011","title":"Weakly-Supervised Temporal Action Localization by Progressive Complementary Learning","created":"2022-06-22","cited_by_count":5,"area":null},{"id":"2308.01618","title":"A Survey on Deep Learning-based Spatio-temporal Action Detection","created":"2023-08-03","cited_by_count":5,"area":null},{"id":"2502.01922","title":"LAST SToP For Modeling Asynchronous Time Series","created":"2025-02-04","cited_by_count":5,"area":null},{"id":"2404.18934","title":"The Visual Experience Dataset: Over 200 Recorded Hours of Integrated Eye Movement, Odometry, and Egocentric Video","created":"2024-02-15","cited_by_count":4,"area":null},{"id":"2407.12987","title":"ActionSwitch: Class-agnostic Detection of Simultaneous Actions in Streaming Videos","created":"2024-07-17","cited_by_count":4,"area":null},{"id":"2109.07951","title":"Overview of Tencent Multi-modal Ads Video Understanding Challenge","created":"2021-09-16","cited_by_count":3,"area":null},{"id":"2412.09202","title":"Temporal Action Localization with Cross Layer Task Decoupling and Refinement","created":"2024-12-12","cited_by_count":3,"area":null},{"id":"2106.14733","title":"Unsupervised Discovery of Actions in Instructional Videos","created":"2021-06-28","cited_by_count":2,"area":null},{"id":"2209.14408","title":"RALACs: Action Recognition in Autonomous Vehicles using Interaction Encoding and Optical Flow","created":"2022-09-28","cited_by_count":2,"area":null},{"id":"2212.04700","title":"Tencent AVS: A Holistic Ads Video Dataset for Multi-modal Scene Segmentation","created":"2022-12-09","cited_by_count":2,"area":null},{"id":"2212.13259","title":"Modeling Time-Series and Spatial Data for Recommendations and Other Applications","created":"2022-12-25","cited_by_count":2,"area":null},{"id":"2304.02110","title":"DIR-AS: Decoupling Individual Identification and Temporal Reasoning for Action Segmentation","created":"2023-04-04","cited_by_count":2,"area":null},{"id":"2308.11249","title":"Video BagNet: short temporal receptive fields increase robustness in long-term action recognition","created":"2023-08-22","cited_by_count":2,"area":null},{"id":"2310.06403","title":"Boundary Discretization and Reliable Classification Network for Temporal Action Detection","created":"2023-10-10","cited_by_count":2,"area":null},{"id":"2311.17118","title":"Towards Weakly Supervised End-to-end Learning for Long-video Action Recognition","created":"2023-11-28","cited_by_count":2,"area":null},{"id":"2410.15279","title":"ContextDet: Temporal Action Detection with Adaptive Context Aggregation","created":"2024-10-20","cited_by_count":2,"area":null},{"id":"2503.18553","title":"ATARS: An Aerial Traffic Atomic Activity Recognition and Temporal Segmentation Dataset","created":"2025-03-24","cited_by_count":2,"area":null},{"id":"2607.06468","title":"EgoPolice: A Benchmark for Egocentric Video Understanding in High-Stakes Police Body-Worn Camera Footage","created":"2026-07-07","cited_by_count":2,"area":null},{"id":"2104.01110","title":"NAS-TC: Neural Architecture Search on Temporal Convolutions for Complex Action Recognition","created":"2021-03-17","cited_by_count":1,"area":null},{"id":"2105.10131","title":"Visual representation of negation: Real world data analysis on comic image design","created":"2021-05-21","cited_by_count":1,"area":null},{"id":"2303.08463","title":"Co-Occurrence Matters: Learning Action Relation for Temporal Action Localization","created":"2023-03-15","cited_by_count":1,"area":null},{"id":"2305.15692","title":"Deep Neural Networks in Video Human Action Recognition: A Review","created":"2023-05-25","cited_by_count":1,"area":null},{"id":"2307.09613","title":"Retrieving Continuous Time Event Sequences using Neural Temporal Point Processes with Learnable Hashing","created":"2023-07-13","cited_by_count":1,"area":null},{"id":"2307.10305","title":"Tapestry of Time and Actions: Modeling Human Activity Sequences using Temporal Point Process Flows","created":"2023-07-13","cited_by_count":1,"area":null},{"id":"2308.13082","title":"Benchmarking Data Efficiency and Computational Efficiency of Temporal Action Localization Models","created":"2023-08-24","cited_by_count":1,"area":null},{"id":"2309.00696","title":"AAN: Attributes-Aware Network for Temporal Action Detection","created":"2023-09-01","cited_by_count":1,"area":null},{"id":"2311.17428","title":"SigFormer: Sparse Signal-Guided Transformer for Multi-Modal Human Action Segmentation","created":"2023-11-29","cited_by_count":1,"area":null},{"id":"2409.18478","title":"Temporal2Seq: A Unified Framework for Temporal Video Understanding Tasks","created":"2024-09-27","cited_by_count":1,"area":null},{"id":"2308.14900","title":"BIT: Bi-Level Temporal Modeling for Efficient Supervised Action Segmentation","created":"2023-08-28","cited_by_count":0,"area":null},{"id":"2310.00831","title":"Action Recognition Utilizing YGAR Dataset","created":"2023-10-02","cited_by_count":0,"area":null},{"id":"2405.17729","title":"Hierarchical Action Recognition: A Contrastive Video-Language Approach with Hierarchical Interactions","created":"2024-05-28","cited_by_count":0,"area":null},{"id":"2406.06187","title":"An Effective-Efficient Approach for Dense Multi-Label Action Detection","created":"2024-06-10","cited_by_count":0,"area":null},{"id":"2501.18509","title":"Reframing Dense Action Detection (RefDense): A Paradigm Shift in Problem Solving & a Novel Optimization Strategy","created":"2025-01-30","cited_by_count":0,"area":null},{"id":"2509.09151","title":"Video Understanding by Design: How Datasets Shape Video Models","created":"2025-09-11","cited_by_count":0,"area":null},{"id":"2609.08167","title":"Boundary Voting Network for Ambiguity-Aware Timestamp-Supervised Action Segmentation","created":"2026-09-08","cited_by_count":0,"area":null},{"id":"2609.24127","title":"Action-Slot: Structured Action-Centric Representation Learning for Multi-Agent Atomic Activity Understanding","created":"2026-09-21","cited_by_count":0,"area":null}],"next_cursor":null}