activity
20212026
most citedA Deep Learning based No-reference Quality Assessment Model for UGC Videos

240 citations · 805 across the 94 of their papers we have counts for

collaborators
Showing 2026Show all

13 papers · 1 filter

cs.AI2026

SafeAtlas-VL: Beyond Binary Multimodal Safety with Large-Scale Data and Guard Models

Zongrui Wang, Xiangyang Zhu, Sicheng Wang +13

Multimodal safety moderation requires distinguishing risks arising from visual content, user intent, and assistant behavior. Existing safeguards, however, are typically trained for…

cs.CV2026

ArmorOCR: Grounded Adversarial Visual Perception via Observation-Transferred Self-Distillation

Linhan Cao, Siyuan Li, Jun Lan +8

Large multimodal models (LMMs) have demonstrated strong OCR recognition capabilities, yet remain vulnerable to adversarial visual text that is readable to humans but challenging fo…

cs.CV2026

ICME 2026 Grand Challenge on Cross-Scenario Defect Detection and Fine-Grained Severity Grading for High-Precision Manufacturing

Wei Sun, Weixia Zhang, Linhan Cao +30

This paper presents the IEEE International Conference on Multimedia and Expo (ICME) 2026 Grand Challenge on Cross-Scenario Defect Detection and Fine-Grained Severity Grading for Hi…

cs.CV2026

DroneIQA-VLE: Multi-Task Drone Image Quality Assessment via Vision-Language Ensemble

Wei Sun, Weixia Zhang, Hongjian Zhan +3

We present DroneIQA-VLE, our solution to the ICME 2026 Drone-IQA Grand Challenge on Target-aware Image Quality Assessment for Low-altitude UAV Images. The framework jointly predict…

cs.CV2026

LEIQ-Assessor: Multi-dimensional Quality Assessment of Low-light Enhanced Images via Multi-task Learning

Wei Sun, Yanwei Jiang, Dandan Zhu +4

Low-light image enhancement algorithms (LIEAs) aim to improve the visibility of images captured under poor illumination. However, the enhancement process often introduces artifacts…

cs.LG2026

SafeSci: Safety Evaluation of Large Language Models in Science Domains and Beyond

Xiangyang Zhu, Yuan Tian, Qi Jia +14

The success of large language models (LLMs) in scientific domains has heightened safety concerns, prompting numerous benchmarks to evaluate their scientific safety. Existing benchm…

cs.CV2026

AMIF: Authorizable Medical Image Fusion Model with Built-in Authentication

Jie Song, Jun Jia, Wei Sun +3

Multimodal image fusion enables precise lesion localization and characterization for accurate diagnosis, thereby strengthening clinical decision-making and driving its growing prom…

cs.CV2026

DP^2-VL: Private Photo Dataset Protection by Data Poisoning for Vision-Language Models

Hongyi Miao, Jun Jia, Xincheng Wang +7

Recent advances in visual-language alignment have endowed vision-language models (VLMs) with fine-grained image understanding capabilities. However, this progress also introduces n…

cs.AI2026

LifeEval: A Multimodal Benchmark for Assistive AI in Egocentric Daily Life Tasks

Hengjian Gao, Kaiwei Zhang, Shibo Wang +8

The rapid progress of Multimodal Large Language Models (MLLMs) marks a significant step toward artificial general intelligence, offering great potential for augmenting human capabi…

eess.IV2026★ 1 cited

Surveillance Facial Image Quality Assessment: A Multi-dimensional Dataset and Lightweight Model

Yanwei Jiang, Wei Sun, Yingjie Zhou +8

Surveillance facial images are often captured under unconstrained conditions, resulting in severe quality degradation due to factors such as low resolution, motion blur, occlusion,…

cs.CV2026

EEmo-Logic: A Unified Dataset and Multi-Stage Framework for Comprehensive Image-Evoked Emotion Assessment

Lancheng Gao, Ziheng Jia, Zixuan Xing +4

Understanding the multi-dimensional attributes and intensity nuances of image-evoked emotions is pivotal for advancing machine empathy and empowering diverse human-computer interac…

cs.CL2026

Automated Safety Benchmarking: A Multi-agent Pipeline for LVLMs

Xiangyang Zhu, Yuan Tian, Zicheng Zhang +6

Large vision-language models (LVLMs) exhibit remarkable capabilities in cross-modal tasks but face significant safety challenges, which undermine their reliability in real-world ap…

cs.CV2026

QualiRAG: Retrieval-Augmented Generation for Visual Quality Understanding

Linhan Cao, Wei Sun, Weixia Zhang +6

Visual quality assessment (VQA) is increasingly shifting from scalar score prediction toward interpretable quality understanding -- a paradigm that demands \textit{fine-grained spa…