{"total":21,"rows":[{"id":"2308.00692","title":"LISA: Reasoning Segmentation via Large Language Model","created":"2023-08-01","cited_by_count":776,"area":"lr"},{"id":"2312.02228","title":"PixelLM: Pixel Reasoning with Large Multimodal Model","created":"2023-12-04","cited_by_count":222,"area":"lr"},{"id":"2409.19603","title":"One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos","created":"2024-09-29","cited_by_count":100,"area":"lr"},{"id":"2408.08862","title":"Visual Agents as Fast and Slow Thinkers","created":"2024-08-16","cited_by_count":53,"area":"lr"},{"id":"2402.06118","title":"ViGoR: Improving Visual Grounding of Large Vision Language Models with Fine-Grained Reward Modeling","created":"2024-02-09","cited_by_count":34,"area":"lr"},{"id":"2312.17448","title":"Tracking with Human-Intent Reasoning","created":"2023-12-29","cited_by_count":33,"area":"lr"},{"id":"2503.13881","title":"MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation","created":"2025-03-18","cited_by_count":28,"area":"lr"},{"id":"2501.08549","title":"The Devil is in Temporal Token: High Quality Video Reasoning Segmentation","created":"2025-01-15","cited_by_count":26,"area":"lr"},{"id":"2404.05673","title":"CoReS: Orchestrating the Dance of Reasoning and Segmentation","created":"2024-04-08","cited_by_count":25,"area":"lr"},{"id":"2410.18923","title":"SegLLM: Multi-round Reasoning Segmentation","created":"2024-10-24","cited_by_count":25,"area":"lr"},{"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":"2507.22886","title":"Towards Omnimodal Expressions and Reasoning in Referring Audio-Visual Segmentation","created":"2025-07-30","cited_by_count":11,"area":"lr"},{"id":"2403.14141","title":"Empowering Segmentation Ability to Multi-modal Large Language Models","created":"2024-03-21","cited_by_count":8,"area":"lr"},{"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":"2606.11324","title":"Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models","created":"2026-06-09","cited_by_count":6,"area":"lr"},{"id":"2510.06243","title":"CoT Referring: Improving Referring Expression Tasks with Grounded Reasoning","created":"2025-10-03","cited_by_count":5,"area":"lr"},{"id":"2603.18892","title":"MultihopSpatial: Multi-hop Compositional Spatial Reasoning Benchmark for Vision-Language Model","created":"2026-03-19","cited_by_count":3,"area":"lr"},{"id":"2412.17741","title":"Reasoning to Attend: Try to Understand How <SEG> Token Works","created":"2024-12-23","cited_by_count":2,"area":"lr"},{"id":"2601.21199","title":"Thinker: A vision-language foundation model for embodied intelligence","created":"2026-01-29","cited_by_count":1,"area":"lr"},{"id":"2603.27060","title":"VIRST: Video-Instructed Reasoning Assistant for SpatioTemporal Segmentation","created":"2026-03-28","cited_by_count":1,"area":"lr"},{"id":"2506.01795","title":"R2SM: Referring and Reasoning for Selective Masks","created":"2025-06-02","cited_by_count":0,"area":"lr"}],"next_cursor":null}