{"total":70,"rows":[{"id":"2501.04001","title":"Sa2VA: Marrying SAM2 with MLLM for Dense Grounded Understanding of Images and Videos","created":"2025-01-07","cited_by_count":159,"area":"mllm"},{"id":"2406.08394","title":"VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks","created":"2024-06-12","cited_by_count":137,"area":"mllm"},{"id":"2406.19389","title":"OMG-LLaVA: Bridging Image-level, Object-level, Pixel-level Reasoning and Understanding","created":"2024-06-27","cited_by_count":127,"area":"lr"},{"id":"2410.09855","title":"Text4Seg: Reimagining Image Segmentation as Text Generation","created":"2024-10-13","cited_by_count":61,"area":"mllm"},{"id":"2407.06192","title":"Multi-Object Hallucination in Vision-Language Models","created":"2024-07-08","cited_by_count":60,"area":"mllm"},{"id":"2410.17385","title":"Do Vision-Language Models Represent Space and How? Evaluating Spatial Frame of Reference Under Ambiguities","created":"2024-10-22","cited_by_count":59,"area":"mllm"},{"id":"2507.12508","title":"MindJourney: Test-Time Scaling with World Models for Spatial Reasoning","created":"2025-07-16","cited_by_count":50,"area":"wm"},{"id":"2408.14469","title":"Grounded Multi-Hop VideoQA in Long-Form Egocentric Videos","created":"2024-08-26","cited_by_count":45,"area":null},{"id":"2410.12332","title":"MC-Bench: A Benchmark for Multi-Context Visual Grounding in the Era of MLLMs","created":"2024-10-16","cited_by_count":39,"area":"mllm"},{"id":"2406.05132","title":"3D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination","created":"2024-06-07","cited_by_count":36,"area":null},{"id":"2501.02765","title":"Visual Large Language Models for Generalized and Specialized Applications","created":"2025-01-06","cited_by_count":36,"area":"mllm"},{"id":"2511.21471","title":"SpatialBench: Benchmarking Multimodal Large Language Models for Spatial Cognition","created":"2025-11-26","cited_by_count":35,"area":"mllm"},{"id":"2406.05821","title":"F-LMM: Grounding Frozen Large Multimodal Models","created":"2024-06-09","cited_by_count":34,"area":"mllm"},{"id":"2410.12694","title":"VividMed: Vision Language Model with Versatile Visual Grounding for Medicine","created":"2024-10-16","cited_by_count":28,"area":"mllm"},{"id":"2406.03008","title":"DriVLMe: Enhancing LLM-based Autonomous Driving Agents with Embodied and Social Experiences","created":"2024-06-05","cited_by_count":27,"area":"driving"},{"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":"2409.17143","title":"Attention Prompting on Image for Large Vision-Language Models","created":"2024-09-25","cited_by_count":23,"area":"mllm"},{"id":"2504.00640","title":"POPEN: Preference-Based Optimization and Ensemble for LVLM-Based Reasoning Segmentation","created":"2025-04-01","cited_by_count":22,"area":"lr"},{"id":"2504.10465","title":"Pixel-SAIL: Single Transformer For Pixel-Grounded Understanding","created":"2025-04-14","cited_by_count":22,"area":"mllm"},{"id":"2503.13026","title":"HiMTok: Learning Hierarchical Mask Tokens for Image Segmentation with Large Multimodal Model","created":"2025-03-17","cited_by_count":20,"area":"mllm"},{"id":"2411.09921","title":"Motion-Grounded Video Reasoning: Understanding and Perceiving Motion at Pixel Level","created":"2024-11-15","cited_by_count":19,"area":"lr"},{"id":"2510.10011","title":"MIMO: A medical vision language model with visual referring multimodal input and pixel grounding multimodal output","created":"2025-10-11","cited_by_count":15,"area":"mllm"},{"id":"2512.04686","title":"Towards Cross-View Point Correspondence in Vision-Language Models","created":"2025-12-04","cited_by_count":14,"area":"mllm"},{"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":"2505.02829","title":"LISAT: Language-Instructed Segmentation Assistant for Satellite Imagery","created":"2025-05-05","cited_by_count":13,"area":"mllm"},{"id":"2409.08464","title":"VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation","created":"2024-09-13","cited_by_count":11,"area":"inference"},{"id":"2504.02862","title":"Towards Understanding How Knowledge Evolves in Large Vision-Language Models","created":"2025-03-31","cited_by_count":10,"area":"mllm"},{"id":"2409.18119","title":"Multi-View and Multi-Scale Alignment for Contrastive Language-Image Pre-training in Mammography","created":"2024-09-26","cited_by_count":9,"area":null},{"id":"2410.08209","title":"Emergent Visual Grounding in Large Multimodal Models Without Grounding Supervision","created":"2024-10-10","cited_by_count":9,"area":"mllm"},{"id":"2509.06321","title":"Text4Seg++: Advancing Image Segmentation via Generative Language Modeling","created":"2025-09-08","cited_by_count":9,"area":"mllm"},{"id":"2504.16060","title":"Vision-Language Models Are Not Pragmatically Competent in Referring Expression Generation","created":"2025-04-22","cited_by_count":8,"area":"mllm"},{"id":"2509.13747","title":"Improving Generalized Visual Grounding with Instance-aware Joint Learning","created":"2025-09-17","cited_by_count":8,"area":null},{"id":"2603.06704","title":"On the Generalization Capacities of MLLMs for Spatial Intelligence","created":"2026-03-05","cited_by_count":7,"area":"mllm"},{"id":"2403.14270","title":"Scene-Graph ViT: End-to-End Open-Vocabulary Visual Relationship Detection","created":"2024-03-21","cited_by_count":6,"area":null},{"id":"2505.16495","title":"ALTo: Adaptive-Length Tokenizer for Autoregressive Mask Generation","created":"2025-05-22","cited_by_count":6,"area":"mllm"},{"id":"2510.13796","title":"The Mechanistic Emergence of Symbol Grounding in Language Models","created":"2025-10-15","cited_by_count":6,"area":null},{"id":"2604.11789","title":"LMMs Meet Object-Centric Vision: Understanding, Segmentation, Editing and Generation","created":"2026-04-13","cited_by_count":6,"area":"lr"},{"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":"2506.17901","title":"PostAlign: Multimodal Grounding as a Corrective Lens for MLLMs","created":"2025-06-22","cited_by_count":5,"area":"mllm"},{"id":"2510.20803","title":"ARGenSeg: Image Segmentation with Autoregressive Image Generation Model","created":"2025-10-23","cited_by_count":5,"area":null},{"id":"2601.19228","title":"Towards Pixel-Level VLM Perception via Simple Points Prediction","created":"2026-01-27","cited_by_count":5,"area":"mllm"},{"id":"2412.00153","title":"ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model","created":"2024-11-29","cited_by_count":4,"area":"mllm"},{"id":"2502.13898","title":"GroundCap: A Visually Grounded Image Captioning Dataset","created":"2025-02-19","cited_by_count":4,"area":null},{"id":"2502.05843","title":"From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning","created":"2025-02-09","cited_by_count":3,"area":"lr"},{"id":"2505.10292","title":"StoryReasoning Dataset: Using Chain-of-Thought for Scene Understanding and Grounded Story Generation","created":"2025-05-15","cited_by_count":3,"area":"lr"},{"id":"2512.01975","title":"SGDiff: Scene Graph Guided Diffusion Model for Image Collaborative SegCaptioning","created":"2025-12-01","cited_by_count":3,"area":"diffusion"},{"id":"2412.03809","title":"EditScout: Locating Forged Regions from Diffusion-based Edited Images with Multimodal LLM","created":"2024-12-05","cited_by_count":2,"area":"mllm"},{"id":"2505.20405","title":"What Changed? Detecting and Evaluating Instruction-Guided Image Edits with Multimodal Large Language Models","created":"2025-05-26","cited_by_count":2,"area":"mllm"},{"id":"2506.04788","title":"Towards LLM-Centric Multimodal Fusion: A Survey on Integration Strategies and Techniques","created":"2025-06-05","cited_by_count":2,"area":"mllm"},{"id":"2512.10554","title":"Grounding Everything in Tokens for Multimodal Large Language Models","created":"2025-12-11","cited_by_count":2,"area":"mllm"},{"id":"2603.19026","title":"Rethinking MLLM Itself as a Segmenter with a Single Segmentation Token","created":"2026-03-19","cited_by_count":2,"area":"mllm"},{"id":"2412.14672","title":"FiVL: A Framework for Improved Vision-Language Alignment through the Lens of Training, Evaluation and Explainability","created":"2024-12-19","cited_by_count":1,"area":"lr"},{"id":"2503.07413","title":"REF-VLM: Triplet-Based Referring Paradigm for Unified Visual Decoding","created":"2025-03-10","cited_by_count":1,"area":"mllm"},{"id":"2503.21595","title":"PS-ReID: Advancing Person Re-Identification and Precise Segmentation with Multimodal Retrieval","created":"2025-03-27","cited_by_count":1,"area":null},{"id":"2505.19242","title":"Deformable Attentive Visual Enhancement for Referring Segmentation Using Vision-Language Model","created":"2025-05-25","cited_by_count":1,"area":"mllm"},{"id":"2506.11261","title":"Gondola: Grounded Vision Language Planning for Robotic Manipulation","created":"2025-06-12","cited_by_count":1,"area":null},{"id":"2603.17228","title":"From Drop-off to Recovery: A Mechanistic Analysis of Segmentation in MLLMs","created":"2026-03-18","cited_by_count":1,"area":"mllm"},{"id":"2605.15019","title":"From Scenes to Elements: Multi-Granularity Evidence Retrieval for Verifiable Multimodal RAG","created":"2026-05-14","cited_by_count":1,"area":"rag"},{"id":"2412.08110","title":"The ART of Composition: Attention-Regularized Training for Compositional Visual Grounding","created":"2024-12-11","cited_by_count":0,"area":"mllm"},{"id":"2503.06948","title":"Large Language Model Guided Progressive Feature Alignment for Multimodal UAV Object Detection","created":"2025-03-10","cited_by_count":0,"area":null},{"id":"2510.14583","title":"Talking Points: Describing and Localizing Pixels","created":"2025-10-16","cited_by_count":0,"area":"mllm"},{"id":"2511.00095","title":"SpinalSAM-R1: A Vision-Language Multimodal Interactive System for Spine CT Segmentation","created":"2025-10-30","cited_by_count":0,"area":null},{"id":"2512.11680","title":"Cross-modal Context-aware Learning for Visual Prompt Guided Multimodal Image Understanding in Remote Sensing","created":"2025-12-12","cited_by_count":0,"area":"lr"},{"id":"2602.21829","title":"StoryMovie: A Dataset for Semantic Alignment of Visual Stories with Movie Scripts and Subtitles","created":"2026-02-25","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":"2606.04046","title":"Dive into the Scene: Breaking the Perceptual Bottleneck in Vision-Language Decision Making via Focus Plan Generation","created":"2026-06-02","cited_by_count":0,"area":"vla"},{"id":"2606.24759","title":"UniDrive: A Unified Vision-Language and Grounding Framework for Interpretable Risk Understanding in Autonomous Driving","created":"2026-06-23","cited_by_count":0,"area":"lr"},{"id":"2606.26196","title":"From Structure to Synergy: A Survey of Vision-Language Perception Paradigm Evolution in Multimodal Large Language Models","created":"2026-06-24","cited_by_count":0,"area":"mllm"},{"id":"2609.19143","title":"PANORAMA: Panoptic Grounded Captioning via Mask Proposal Selection","created":"2026-09-16","cited_by_count":0,"area":null},{"id":"2609.30783","title":"Skip the Talk, Re-Focus on Vision: Latent Reasoning for Reasoning Segmentation in Multimodal Large Language Models","created":"2026-09-25","cited_by_count":0,"area":"lr"}],"next_cursor":null}