works on

From the 1 of 21 linked papers with an AI index.

activity
20242026
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21 papers

cs.CV2026

UC-VLM: Consistency-Driven Learning for AI-Generated Image Detection with Vision-Language Large Models

Lei Tan, Shuwei Li, Mohan Kankanhalli +1

Vision-Language Large Models (VLLMs) are promising for AI-generated image (AIGI) detection because they can produce both a prediction and a natural-language output. However, most e…

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

Token-Based Affordance Grounding with Large Vision-Language Models

Seung Il Lee, Qinqian Lei, Daguang Xu +4

Affordance grounding aims to localize image regions that support a specific action, serving as a core capability for physical intelligence and embodied perception. Previous studies…

cs.CV2026

GlowGS: Generative Semantic Feature Learning for 3D Gaussian Splatting in Nighttime Glow Scenes

Beibei Lin, Xiao Cao, Jingyuan Guo +1

Existing 3DGS methods effectively render high-quality novel views in clear-day scenes. However, they struggle with night scenes, particularly in glow regions, due to the lack of st…

cs.CV2026

White-Balance First, Adjust Later: Cross-Camera Color Constancy via Vision-Language Evaluation

Shuwei Li, Lei Tan, Robby T. Tan

Color constancy aims to keep object colors consistent under varying illumination. Cross-camera generalization in color constancy remains challenging because learning-based models o…

cs.CV2026

NTIRE 2026 The Second Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results

Xin Li, Yeying Jin, Suhang Yao +95

This paper presents an overview of the NTIRE 2026 Second Challenge on Day and Night Raindrop Removal for Dual-Focused Images. Building upon the success of the first edition, this c…