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From the 1 of 12 linked papers with an AI index.

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12 papers

cs.CV2026

UniVR: Thinking in Visual Space for Unified Visual Reasoning

Zhongwei Ren, Yunchao Wei, Yao Zhao +5

The paper presents UniVR, a system that learns complex visual reasoning, fine-grained physical dynamics, and long-term planning directly from raw video demonstrations using a novel…

cs.CV2026

SAMTok: Representing Any Mask with Two Words

Yikang Zhou, Tao Zhang, Dengxian Gong +13

Pixel-wise capabilities are essential for building interactive intelligent systems. However, pixel-wise multi-modal LLMs (MLLMs) remain difficult to scale due to complex region-lev…

cs.CV2026

Open-o3-Video: Grounded Video Reasoning with Explicit Spatio-Temporal Evidence

Jiahao Meng, Xiangtai Li, Haochen Wang +8

Most video reasoning models only generate textual reasoning traces without indicating when and where key evidence appears. Recent models such as OpenAI-o3 have sparked wide interes…

cs.CV2026

Grasp Any Region: Towards Precise, Contextual Pixel Understanding for Multimodal LLMs

Haochen Wang, Yuhao Wang, Tao Zhang +13

While Multimodal Large Language Models (MLLMs) excel at holistic understanding, they struggle in capturing the dense world with complex scenes, requiring fine-grained analysis of i…

cs.CV2026

Traceable Evidence Enhanced Visual Grounded Reasoning: Evaluation and Methodology

Haochen Wang, Xiangtai Li, Zilong Huang +9

Models like OpenAI-o3 pioneer visual grounded reasoning by dynamically referencing visual regions, just like human "thinking with images". However, no benchmark exists to evaluate…

cs.CL2026

PairUni: Pairwise Training for Unified Multimodal Language Models

Jiani Zheng, Zhiyang Teng, Kunpeng Qiu +6

Unified Vision-Language Models (UVLMs) perform both understanding and generation within a single architecture. Since these models rely on heterogeneous data and supervision, balanc…