{"total":24,"rows":[{"id":"2412.20206","title":"Toward Visual Grounding: A Survey","created":"2024-12-28","cited_by_count":52,"area":null},{"id":"2508.00265","title":"Multimodal Referring Segmentation: A Survey","created":"2025-08-01","cited_by_count":22,"area":null},{"id":"2501.06710","title":"Multi-task Visual Grounding with Coarse-to-Fine Consistency Constraints","created":"2025-01-12","cited_by_count":17,"area":null},{"id":"2507.01738","title":"DeRIS: Decoupling Perception and Cognition for Enhanced Referring Image Segmentation through Loopback Synergy","created":"2025-07-02","cited_by_count":13,"area":null},{"id":"2509.04833","title":"PropVG: End-to-End Proposal-Driven Visual Grounding with Multi-Granularity Discrimination","created":"2025-09-05","cited_by_count":10,"area":null},{"id":"2505.18686","title":"WeakMCN: Multi-task Collaborative Network for Weakly Supervised Referring Expression Comprehension and Segmentation","created":"2025-05-24","cited_by_count":9,"area":null},{"id":"2509.13747","title":"Improving Generalized Visual Grounding with Instance-aware Joint Learning","created":"2025-09-17","cited_by_count":8,"area":null},{"id":"2502.20104","title":"New Dataset and Methods for Fine-Grained Compositional Referring Expression Comprehension via Specialist-MLLM Collaboration","created":"2025-02-27","cited_by_count":7,"area":null},{"id":"2508.05123","title":"Latent Expression Generation for Referring Image Segmentation and Grounding","created":"2025-08-07","cited_by_count":6,"area":null},{"id":"2505.02867","title":"RESAnything: Attribute Prompting for Arbitrary Referring Segmentation","created":"2025-05-03","cited_by_count":4,"area":null},{"id":"2504.16145","title":"Progressive Language-guided Visual Learning for Multi-Task Visual Grounding","created":"2025-04-22","cited_by_count":3,"area":null},{"id":"2512.24561","title":"RGBT-GroundBench: Visual Grounding Beyond RGB in Complex Real-World Scenarios","created":"2025-12-31","cited_by_count":3,"area":null},{"id":"2603.23906","title":"GenMask: Adapting DiT for Segmentation via Direct Mask Generation","created":"2026-03-25","cited_by_count":3,"area":null},{"id":"2603.26646","title":"Beyond Language: Grounding Referring Expressions with Hand Pointing in Egocentric Vision","created":"2026-03-27","cited_by_count":2,"area":null},{"id":"2511.22188","title":"ARPGNet: Appearance- and Relation-aware Parallel Graph Attention Fusion Network for Facial Expression Recognition","created":"2025-11-27","cited_by_count":1,"area":null},{"id":"2601.01526","title":"BARE: Towards Bias-Aware and Reasoning-Enhanced One-Tower Visual Grounding","created":"2026-01-04","cited_by_count":1,"area":null},{"id":"2603.19807","title":"Enhancing Alignment for Unified Multimodal Models via Semantically-Grounded Supervision","created":"2026-03-20","cited_by_count":0,"area":null},{"id":"2605.25706","title":"Towards Open-World Referring Expression Comprehension: A Benchmark with Training-free Multi-task Consistency Checker","created":"2026-05-25","cited_by_count":0,"area":null},{"id":"2606.22546","title":"Venice-H1: Failure-Aware Query Re-Ranking with Multi-Scale Grid Signatures for Referring Image Segmentation","created":"2026-06-21","cited_by_count":0,"area":null},{"id":"2607.04638","title":"Learning Structured Visual Compositional Representations for Weakly Supervised Referring Expression Comprehension","created":"2026-07-06","cited_by_count":0,"area":null},{"id":"2607.12450","title":"Let RGB Be the Language of Vision","created":"2026-07-14","cited_by_count":0,"area":null},{"id":"2608.30621","title":"Cost-efficient Active Learning for Referring Image Segmentation and Grounding","created":"2026-08-31","cited_by_count":0,"area":null},{"id":"2609.24409","title":"DeCo: Efficient Decouple-to-Couple Learning for Multi-Task Visual Grounding","created":"2026-09-21","cited_by_count":0,"area":null},{"id":"2610.01710","title":"CoEvolve: Construct-to-Edit Visual Grounding with Bidirectional State Refinement","created":"2026-10-01","cited_by_count":0,"area":null}],"next_cursor":null}