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20232026
most citedQ-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels

33 citations · 47 across the 25 of their papers we have counts for

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21 papers · 1 filter

cs.CV2026

ConceptSeg-R1: Segment Any Concept via Meta-Reinforcement Learning

Yuan Zhao, Youwei Pang, Jiaming Zuo +10

Recent progress in promptable segmentation has shifted visual perception from object-level localization toward concept-level understanding. However, the notion of a concept remains…

cs.CV2026

R4-CGQA: Retrieval-based Vision Language Models for Computer Graphics Image Quality Assessment

Zhuangzi Li, Jian Jin, Shilv Cai +1

Immersive Computer Graphics (CGs) rendering has become ubiquitous in modern daily life. However, comprehensively evaluating CG quality remains challenging for two reasons: First, e…

cs.CV2025

Embodied Image Compression

Chunyi Li, Rui Qing, Jianbo Zhang +6

Image Compression for Machines (ICM) has emerged as a pivotal research direction in the field of visual data compression. However, with the rapid evolution of machine intelligence,…

cs.CV2025

Using GUI Agent for Electronic Design Automation

Chunyi Li, Longfei Li, Zicheng Zhang +4

Graphical User Interface (GUI) agents adopt an end-to-end paradigm that maps a screenshot to an action sequence, thereby automating repetitive tasks in virtual environments. Howeve…

cs.CV2025

OmniQuality-R: Advancing Reward Models Through All-Encompassing Quality Assessment

Yiting Lu, Fengbin Guan, Yixin Gao +8

Current visual evaluation approaches are typically constrained to a single task. To address this, we propose OmniQuality-R, a unified reward modeling framework that transforms mult…

cs.CV2025

Just Noticeable Difference for Large Multimodal Models

Zijian Chen, Yuan Tian, Yuze Sun +5

Just noticeable difference (JND), the minimum change that the human visual system (HVS) can perceive, has been studied for decades. Although recent work has extended this line of r…