{"total":45,"rows":[{"id":"2504.14920","title":"DyFo: A Training-Free Dynamic Focus Visual Search for Enhancing LMMs in Fine-Grained Visual Understanding","created":"2025-04-21","cited_by_count":49,"area":null},{"id":"2503.08625","title":"SegAgent: Exploring Pixel Understanding Capabilities in MLLMs by Imitating Human Annotator Trajectories","created":"2025-03-11","cited_by_count":30,"area":null},{"id":"2508.04655","title":"X-SAM: From Segment Anything to Any Segmentation","created":"2025-08-06","cited_by_count":30,"area":null},{"id":"2411.19083","title":"ObjectRelator: Enabling Cross-View Object Relation Understanding Across Ego-Centric and Exo-Centric Perspectives","created":"2024-11-28","cited_by_count":29,"area":null},{"id":"2503.01342","title":"UFO: A Unified Approach to Fine-grained Visual Perception via Open-ended Language Interface","created":"2025-03-03","cited_by_count":27,"area":null},{"id":"2508.00265","title":"Multimodal Referring Segmentation: A Survey","created":"2025-08-01","cited_by_count":22,"area":null},{"id":"2407.20664","title":"3D-GRES: Generalized 3D Referring Expression Segmentation","created":"2024-07-30","cited_by_count":18,"area":null},{"id":"2511.20886","title":"V$^{2}$-SAM: Marrying SAM2 with Multi-Prompt Experts for Cross-View Object Correspondence","created":"2025-11-25","cited_by_count":14,"area":null},{"id":"2407.07412","title":"Pseudo-RIS: Distinctive Pseudo-supervision Generation for Referring Image Segmentation","created":"2024-07-10","cited_by_count":13,"area":null},{"id":"2503.10596","title":"GroundingSuite: Measuring Complex Multi-Granular Pixel Grounding","created":"2025-03-13","cited_by_count":11,"area":null},{"id":"2511.23332","title":"UniGeoSeg: Towards Unified Open-World Segmentation for Geospatial Scenes","created":"2025-11-28","cited_by_count":10,"area":null},{"id":"2512.20013","title":"SegEarth-R2: Towards Comprehensive Language-guided Segmentation for Remote Sensing Images","created":"2025-12-23","cited_by_count":10,"area":null},{"id":"2506.06253","title":"Bridging Perspectives: A Survey on Cross-view Collaborative Intelligence with Egocentric-Exocentric Vision","created":"2025-06-06","cited_by_count":8,"area":null},{"id":"2508.04107","title":"Unlocking the Potential of MLLMs in Referring Expression Segmentation via a Light-weight Mask Decoder","created":"2025-08-06","cited_by_count":8,"area":null},{"id":"2506.06026","title":"O-MaMa: Learning Object Mask Matching between Egocentric and Exocentric Views","created":"2025-06-06","cited_by_count":7,"area":null},{"id":"2510.10524","title":"Unified Open-World Segmentation with Multi-Modal Prompts","created":"2025-10-12","cited_by_count":7,"area":null},{"id":"2607.06560","title":"Vision as Unified Multimodal Generation","created":"2026-07-07","cited_by_count":7,"area":null},{"id":"2601.05244","title":"GREx: Generalized Referring Expression Segmentation, Comprehension, and Generation","created":"2026-01-08","cited_by_count":6,"area":null},{"id":"2605.26102","title":"InstructSAM: Segment Any Instance with Any Instructions","created":"2026-05-25","cited_by_count":6,"area":null},{"id":"2506.05342","title":"Refer to Any Segmentation Mask Group With Vision-Language Prompts","created":"2025-06-05","cited_by_count":5,"area":null},{"id":"2506.05856","title":"Cross-View Multi-Modal Segmentation @ Ego-Exo4D Challenges 2025","created":"2025-06-06","cited_by_count":5,"area":null},{"id":"2510.10051","title":"Complementary and Contrastive Learning for Audio-Visual Segmentation","created":"2025-10-11","cited_by_count":5,"area":null},{"id":"2510.20803","title":"ARGenSeg: Image Segmentation with Autoregressive Image Generation Model","created":"2025-10-23","cited_by_count":5,"area":null},{"id":"2505.13788","title":"Ground-V: Teaching VLMs to Ground Complex Instructions in Pixels","created":"2025-05-20","cited_by_count":4,"area":null},{"id":"2505.17994","title":"Segment Anyword: Mask Prompt Inversion for Open-Set Grounded Segmentation","created":"2025-05-23","cited_by_count":4,"area":null},{"id":"2512.24702","title":"Evolving, Not Training: Zero-Shot Reasoning Segmentation via Evolutionary Prompting","created":"2025-12-31","cited_by_count":4,"area":null},{"id":"2507.16213","title":"Advancing Visual Large Language Model for Multi-granular Versatile Perception","created":"2025-07-22","cited_by_count":3,"area":null},{"id":"2602.18996","title":"Learning Cross-View Object Correspondence via Cycle-Consistent Mask Prediction","created":"2026-02-22","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":"2604.13596","title":"VGGT-Segmentor: Geometry-Enhanced Cross-View Segmentation","created":"2026-04-15","cited_by_count":3,"area":null},{"id":"2605.20110","title":"SetCon: Towards Open-Ended Referring Segmentation via Set-Level Concept Prediction","created":"2026-05-19","cited_by_count":2,"area":null},{"id":"2505.17695","title":"SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data","created":"2025-05-23","cited_by_count":1,"area":null},{"id":"2603.03983","title":"GeoSeg: Training-Free Reasoning-Driven Segmentation in Remote Sensing Imagery","created":"2026-03-04","cited_by_count":1,"area":null},{"id":"2603.14880","title":"RealVLG-R1: A Large-Scale Real-World Visual-Language Grounding Benchmark for Robotic Perception and Manipulation","created":"2026-03-16","cited_by_count":1,"area":null},{"id":"2604.07916","title":"Tarot-SAM3: Training-free SAM3 for Any Referring Expression Segmentation","created":"2026-04-09","cited_by_count":1,"area":null},{"id":"2605.22034","title":"AgroVG: A Large-Scale Multi-Source Benchmark for Agricultural Visual Grounding","created":"2026-05-21","cited_by_count":1,"area":null},{"id":"2605.29461","title":"FlowSeg: Dynamic Semantic Guidance for LLM-Conditioned Segmentation","created":"2026-05-28","cited_by_count":1,"area":null},{"id":"2607.06553","title":"From RGB Generation to Dense Field Readout: Pixel-Space Dense Prediction with Text-to-Image Models","created":"2026-07-07","cited_by_count":1,"area":null},{"id":"2411.15087","title":"Phrase-Instance Alignment for Generalized Referring Segmentation","created":"2024-11-22","cited_by_count":0,"area":null},{"id":"2506.16157","title":"Proxy-Embedding as an Adversarial Teacher: An Embedding-Guided Bidirectional Attack for Referring Expression Segmentation Models","created":"2025-06-19","cited_by_count":0,"area":null},{"id":"2512.02005","title":"Learning Visual Affordance from Audio","created":"2025-12-01","cited_by_count":0,"area":null},{"id":"2604.01974","title":"Interactive Tracking: A Human-in-the-Loop Paradigm with Memory-Augmented Adaptation","created":"2026-04-02","cited_by_count":0,"area":null},{"id":"2606.31924","title":"InstanceControl: Controllable Complex Image Generation without Instance Labeling","created":"2026-06-30","cited_by_count":0,"area":null},{"id":"2608.28567","title":"GeBDA: Building Damage Assessment as Text-Based Sequence Prediction","created":"2026-08-28","cited_by_count":0,"area":null},{"id":"2609.19143","title":"PANORAMA: Panoptic Grounded Captioning via Mask Proposal Selection","created":"2026-09-16","cited_by_count":0,"area":null}],"next_cursor":null}