{"total":28,"rows":[{"id":"2308.06947","title":"Knowing Where to Focus: Event-aware Transformer for Video Grounding","created":"2023-08-14","cited_by_count":79,"area":null},{"id":"2209.11572","title":"Multi-Modal Cross-Domain Alignment Network for Video Moment Retrieval","created":"2022-09-23","cited_by_count":43,"area":null},{"id":"2303.07863","title":"You Can Ground Earlier than See: An Effective and Efficient Pipeline for Temporal Sentence Grounding in Compressed Videos","created":"2023-03-14","cited_by_count":41,"area":null},{"id":"2305.00355","title":"MH-DETR: Video Moment and Highlight Detection with Cross-modal Transformer","created":"2023-04-29","cited_by_count":40,"area":null},{"id":"2301.01871","title":"Hypotheses Tree Building for One-Shot Temporal Sentence Localization","created":"2023-01-05","cited_by_count":25,"area":null},{"id":"2412.06284","title":"Your Data Is Not Perfect: Towards Cross-Domain Out-of-Distribution Detection in Class-Imbalanced Data","created":"2024-12-09","cited_by_count":21,"area":null},{"id":"2412.15678","title":"Multi-Pair Temporal Sentence Grounding via Multi-Thread Knowledge Transfer Network","created":"2024-12-20","cited_by_count":15,"area":null},{"id":"2504.02454","title":"Taylor Series-Inspired Local Structure Fitting Network for Few-shot Point Cloud Semantic Segmentation","created":"2025-04-03","cited_by_count":14,"area":null},{"id":"2407.13519","title":"GPSFormer: A Global Perception and Local Structure Fitting-based Transformer for Point Cloud Understanding","created":"2024-07-18","cited_by_count":12,"area":null},{"id":"2409.09953","title":"Uncertainty-Guided Appearance-Motion Association Network for Out-of-Distribution Action Detection","created":"2024-09-16","cited_by_count":12,"area":null},{"id":"2412.16447","title":"A Generalizable Anomaly Detection Method in Dynamic Graphs","created":"2024-12-21","cited_by_count":10,"area":null},{"id":"2405.12540","title":"Context-Enhanced Video Moment Retrieval with Large Language Models","created":"2024-05-21","cited_by_count":9,"area":null},{"id":"2412.15668","title":"Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection","created":"2024-12-20","cited_by_count":8,"area":null},{"id":"2506.17633","title":"Adaptive Multi-prompt Contrastive Network for Few-shot Out-of-distribution Detection","created":"2025-06-21","cited_by_count":8,"area":null},{"id":"2605.26441","title":"Rethinking Weakly-supervised Video Temporal Grounding From a Game Perspective","created":"2026-05-26","cited_by_count":8,"area":null},{"id":"2310.06365","title":"Multi-Modal Knowledge Graph Transformer Framework for Multi-Modal Entity Alignment","created":"2023-10-10","cited_by_count":7,"area":null},{"id":"2212.13163","title":"MRTNet: Multi-Resolution Temporal Network for Video Sentence Grounding","created":"2022-12-26","cited_by_count":6,"area":null},{"id":"2605.29812","title":"Not All Inputs Are Valid: Towards Open-Set Video Moment Retrieval Using Language","created":"2026-05-28","cited_by_count":6,"area":null},{"id":"2605.29793","title":"Fewer Steps, Better Performance: Efficient Cross-Modal Clip Trimming for Video Moment Retrieval Using Language","created":"2026-05-28","cited_by_count":5,"area":null},{"id":"2303.01046","title":"Jointly Visual- and Semantic-Aware Graph Memory Networks for Temporal Sentence Localization in Videos","created":"2023-03-02","cited_by_count":4,"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":"2506.05286","title":"Stable Vision Concept Transformers for Medical Diagnosis","created":"2025-06-05","cited_by_count":3,"area":null},{"id":"2410.13974","title":"Are You Using Reliable Graph Prompts? Trojan Prompt Attacks on Graph Neural Networks","created":"2024-10-17","cited_by_count":2,"area":null},{"id":"2411.17481","title":"Dual-task Mutual Reinforcing Embedded Joint Video Paragraph Retrieval and Grounding","created":"2024-11-26","cited_by_count":2,"area":null},{"id":"2605.30750","title":"SLAP: The Semantic Least Action Principle for Variational Video-Language Modeling","created":"2026-05-29","cited_by_count":2,"area":null},{"id":"2401.17588","title":"Local and Global Contexts for Conversation","created":"2024-01-31","cited_by_count":0,"area":null},{"id":"2403.11959","title":"IVAC-P2L: Leveraging Irregular Repetition Priors for Improving Video Action Counting","created":"2024-03-18","cited_by_count":0,"area":null},{"id":"2606.01615","title":"Turing Patterns for Multimedia: Reaction-Diffusion Multi-Modal Fusion for Language-Guided Video Moment Retrieval","created":"2026-06-01","cited_by_count":0,"area":null}],"next_cursor":null}