activity
20242026
most citedAIM 2024 Challenge on Video Saliency Prediction: Methods and Results

8 citations · 27 across the 22 of their papers we have counts for

collaborators
Showing 2026Show all

7 papers · 1 filter

cs.CV2026

LLaVA-Assessor: Building the Foundation LMM For Visual Quality Assessment

Ziheng Jia, Zicheng Zhang, Jiaying Qian +2

Aligning with the human visual system~(HVS) in perceiving and evaluating the quality of visual signals is a central objective of machine-vision-based visual quality assessment syst…

cs.AI2026

TREND-10K: A Comprehensive Dataset for Next-Generation Video Quality Assessment Based on Preference-Driven Media

Ziheng Jia, Zicheng Zhang, Junqi Zhang +4

The increasing prominence of short-video platforms, coupled with the advanced commercialization of AI-generated content (AIGC) videos, has led to a shift in the types of video medi…

cs.CV2026

Emo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment

Lancheng Gao, Ziheng Jia, Shengyan Li +4

Understanding both expressed and evoked emotions is critical for multimodal large language models (MLLMs) to achieve comprehensive affect-aware interactions. However, existing benc…

cs.CV2026

Visual Distortion Detection in UGC Images Using Large Multimodal Models

Ziheng Jia, Yingji Liang, Jiaying Qian +1

The localized depiction of perceptual quality has long been a crucial, yet underexplored, challenge in image quality assessment (IQA). Existing approaches based on large multimodal…

cs.AI2026

RAVEN-Eval: Rubric-Guided Automatic Evaluation for AI Video Generation Models Based on LMM Preference Judgement

Ziheng Jia, Jiaying Qian, Zicheng Zhang +3

AI video generation has advanced rapidly and entered widespread commercial use. As a result, quality differences among videos produced by state-of-the-art AI video generation model…

cs.CV2026

DyCoRM: Dynamic Criterion-Aware Reward Modeling for Text-to-Image Generation

Jiaying Qian, Ziheng Jia, Qian Zhang +5

With the continued advancement of text-to-image (T2I) generation, producing high-quality images is becoming increasingly attainable; consequently, user demands are shifting toward…

cs.CV2026

GeoR-Bench: Evaluating Geoscience Visual Reasoning

Yushuo Zheng, Zicheng Zhang, Huiyu Duan +7

Geoscience intelligence is expected to understand, reason about, and predict earth system changes to support human decision-making in critical domains such as disaster response, cl…