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From the 1 of 11 linked papers with an AI index.

activity
20242026
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11 papers

cs.CV2026

CAPEval: A Decoupled Caption Evaluation across Understanding and Generation

Zhipeng Liu, Haochen Wang, Zhaoxiang Zhang

Captions serve as a primary supervision signal for both multimodal understanding and text-to-image generation. However, previous evaluations treat the caption quality as a single s…

cs.CV2026

Actor as Its Own Critic: Unifying Region Understanding and Localization via CycleGRPO

Xin Zhang, Haochen Wang, Yikang Zhou +2

The paper presents CycleGRPO, a reinforcement learning framework that lets a multimodal language model generate region captions and then use those captions to re‑localize the regio…

cs.CV2026

PixelEyes: Decoupling Perception and Reasoning for Pinpoint Visual Evidence Seeking

Dengxian Gong, Yuanzheng Wu, Haobo Yuan +11

This paper explores multi-turn visual reasoning and observes that MLLMs repeatedly fail to localize the target, leading to long, redundant trajectories. We attribute this failure t…

cs.CV2026

MotionAtlas: Detailed Region Captioning for Motion-Centric Videos

Weisong Liu, Haochen Wang, Kuan Gao +8

We propose MotionAtlas, a system for detailed captioning of motion-centric videos, comprising (1) a dedicated human-annotated benchmark, (2) a scalable, high-quality pipeline to co…

cs.CV2025

DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving

Yingyan Li, Shuyao Shang, Weisong Liu +10

Scaling Vision-Language-Action (VLA) models on large-scale data offers a promising path to achieving a more generalized driving intelligence. However, VLA models are limited by a `…

cs.CV2025

CrossVid: A Comprehensive Benchmark for Evaluating Cross-Video Reasoning in Multimodal Large Language Models

Jingyao Li, Jingyun Wang, Molin Tan +6

Cross-Video Reasoning (CVR) presents a significant challenge in video understanding, which requires simultaneous understanding of multiple videos to aggregate and compare informati…