{"total":34,"rows":[{"id":"2312.14556","title":"CaptainCook4D: A Dataset for Understanding Errors in Procedural Activities","created":"2023-12-22","cited_by_count":51,"area":null},{"id":"2312.07322","title":"GenHowTo: Learning to Generate Actions and State Transformations from Instructional Videos","created":"2023-12-12","cited_by_count":40,"area":null},{"id":"2312.11782","title":"Learning Object State Changes in Videos: An Open-World Perspective","created":"2023-12-19","cited_by_count":36,"area":null},{"id":"2307.08763","title":"Video-Mined Task Graphs for Keystep Recognition in Instructional Videos","created":"2023-07-17","cited_by_count":35,"area":null},{"id":"2406.01486","title":"Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos","created":"2024-06-03","cited_by_count":26,"area":null},{"id":"2403.01599","title":"SCHEMA: State CHangEs MAtter for Procedure Planning in Instructional Videos","created":"2024-03-03","cited_by_count":24,"area":null},{"id":"2403.02782","title":"Why Not Use Your Textbook? Knowledge-Enhanced Procedure Planning of Instructional Videos","created":"2024-03-05","cited_by_count":15,"area":null},{"id":"2506.00717","title":"Vid2Coach: Transforming How-To Videos into Task Assistants","created":"2025-05-31","cited_by_count":12,"area":null},{"id":"2312.14055","title":"Multi-Sentence Grounding for Long-term Instructional Video","created":"2023-12-21","cited_by_count":10,"area":null},{"id":"2408.03761","title":"MMSummary: Multimodal Summary Generation for Fetal Ultrasound Video","created":"2024-08-07","cited_by_count":9,"area":null},{"id":"2412.01987","title":"ShowHowTo: Generating Scene-Conditioned Step-by-Step Visual Instructions","created":"2024-12-02","cited_by_count":8,"area":null},{"id":"2311.01444","title":"LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds","created":"2023-11-02","cited_by_count":7,"area":null},{"id":"2505.12911","title":"HiERO: understanding the hierarchy of human behavior enhances reasoning on egocentric videos","created":"2025-05-19","cited_by_count":7,"area":null},{"id":"2409.16145","title":"Learning to Localize Actions in Instructional Videos with LLM-Based Multi-Pathway Text-Video Alignment","created":"2024-09-22","cited_by_count":6,"area":null},{"id":"2410.05343","title":"EgoOops: A Dataset for Mistake Action Detection from Egocentric Videos referring to Procedural Texts","created":"2024-10-07","cited_by_count":5,"area":null},{"id":"2405.01090","title":"Learning Multiple Object States from Actions via Large Language Models","created":"2024-05-02","cited_by_count":4,"area":null},{"id":"2406.18227","title":"GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension","created":"2024-06-26","cited_by_count":4,"area":null},{"id":"2507.15540","title":"Procedure Learning via Regularized Gromov-Wasserstein Optimal Transport","created":"2025-07-21","cited_by_count":4,"area":null},{"id":"2408.02272","title":"COM Kitchens: An Unedited Overhead-view Video Dataset as a Vision-Language Benchmark","created":"2024-08-05","cited_by_count":3,"area":null},{"id":"2502.17753","title":"Task Graph Maximum Likelihood Estimation for Procedural Activity Understanding in Egocentric Videos","created":"2025-02-25","cited_by_count":2,"area":null},{"id":"2603.09741","title":"ENIGMA-360: An Ego-Exo Dataset for Human Behavior Understanding in Industrial Scenarios","created":"2026-03-10","cited_by_count":2,"area":null},{"id":"2312.11345","title":"Implicit Affordance Acquisition via Causal Action-Effect Modeling in the Video Domain","created":"2023-12-18","cited_by_count":1,"area":null},{"id":"2404.03161","title":"BioVL-QR: Egocentric Biochemical Vision-and-Language Dataset Using Micro QR Codes","created":"2024-04-04","cited_by_count":1,"area":null},{"id":"2412.11621","title":"VG-TVP: Multimodal Procedural Planning via Visually Grounded Text-Video Prompting","created":"2024-12-16","cited_by_count":1,"area":null},{"id":"2509.24382","title":"REMAP: Regularized Matching and Partial Alignment of Video Embeddings","created":"2025-09-29","cited_by_count":1,"area":null},{"id":"2606.25317","title":"ESTANet: Efficient Online Error Detection in Procedural Videos via Prediction Inconsistency","created":"2026-06-24","cited_by_count":1,"area":null},{"id":"2311.15964","title":"Efficient Pre-training for Localized Instruction Generation of Videos","created":"2023-11-27","cited_by_count":0,"area":null},{"id":"2510.19292","title":"Vision-Based Mistake Analysis in Procedural Activities: A Review of Advances and Challenges","created":"2025-10-22","cited_by_count":0,"area":null},{"id":"2512.11393","title":"The N-Body Problem: Parallel Execution from Single-Person Egocentric Video","created":"2025-12-12","cited_by_count":0,"area":null},{"id":"2604.15173","title":"Boundary-Centric Clip-Budgeted Active Learning for Temporal Action Segmentation","created":"2026-04-16","cited_by_count":0,"area":null},{"id":"2604.26565","title":"DenseStep2M: A Scalable, Training-Free Pipeline for Dense Instructional Video Annotation","created":"2026-04-29","cited_by_count":0,"area":null},{"id":"2605.19976","title":"RECIPE: Procedural Planning via Grounding in Instructional Video","created":"2026-05-19","cited_by_count":0,"area":null},{"id":"2605.31227","title":"HiERO-StepG @ Ego4D Step Grounding Challenge: hierarchical activity understanding enables zero-shot step grounding","created":"2026-05-29","cited_by_count":0,"area":null},{"id":"2609.00996","title":"Does This Moment Justify the Recommendation? Counterfactual Behavior-Grounded Evidence Retrieval for Personalized Video Recommendation","created":"2026-09-01","cited_by_count":0,"area":null}],"next_cursor":null}