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20232026
most citedSemantic Segmentation in Multiple Adverse Weather Conditions with Domain Knowledge Retention

11 citations · 17 across the 23 of their papers we have counts for

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12 papers · 1 filter

cs.CV2026

FuseAdapt: Parameter-Efficient Multimodal Fusion for Semantic Segmentation with Missing Modalities

Xin Zhang, Robby T. Tan

Multi-modal semantic segmentation benefits from complementary sensors, but this benefit is fragile when some modalities are degraded or missing at test time. Many existing methods…

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

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

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

Xin Zhang, Haochen Wang, Yikang Zhou +3

This paper introduces Actor as Its Own Critic, a unified reinforcement learning framework, Cycle Group Relative Policy Optimization (CycleGRPO), that jointly optimizes region under…

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…

cs.CL2026

ReMedi: Reasoner for Medical Clinical Prediction

Yushi Cao, Yiming Chen, Hongchao Jiang +2

Predicting future clinical outcomes from electronic health records (EHR) remains challenging due to the complexity and heterogeneity of patient data. LLMs have shown strong potenti…

cs.CV2026

A Study of Failure Modes in Two-Stage Human-Object Interaction Detection

Lemeng Wang, Qinqian Lei, Vidhi Bakshi +8

Human-object interaction (HOI) detection aims to detect interactions between humans and objects in images. While recent advances have improved performance on existing benchmarks, t…

cs.CV2026

UDAPose: Unsupervised Domain Adaptation for Low-Light Human Pose Estimation

Haopeng Chen, Yihao Ai, Kabeen Kim +3

Low-visibility scenarios, such as low-light conditions, pose significant challenges to human pose estimation due to the scarcity of annotated low-light datasets and the loss of vis…

cs.CV2026

SHOE: Semantic HOI Open-Vocabulary Evaluation Metric

Maja Noack, Qinqian Lei, Taipeng Tian +6

Open-vocabulary human-object interaction (HOI) detection is a step towards building scalable systems that generalize to unseen interactions in real-world scenarios and support grou…

cs.CV2026

Tele-Omni: a Unified Multimodal Framework for Video Generation and Editing

Jialun Liu, Tian Li, Xiao Cao +20

Recent advances in diffusion-based video generation have substantially improved visual fidelity and temporal coherence. However, most existing approaches remain task-specific and r…