activity
20212025
most citedEnhancement by Your Aesthetic: An Intelligible Unsupervised Personalized Enhancer for Low-Light Images

12 citations · 25 across the 15 of their papers we have counts for

collaborators

15 papers

eess.IV2025

NTIRE 2025 Challenge on RAW Image Restoration and Super-Resolution

Marcos V. Conde, Radu Timofte, Zihao Lu +36

This paper reviews the NTIRE 2025 RAW Image Restoration and Super-Resolution Challenge, highlighting the proposed solutions and results. New methods for RAW Restoration and Super-R…

cs.CV2024

Event-Based Eye Tracking. AIS 2024 Challenge Survey

Zuowen Wang, Chang Gao, Zongwei Wu +36

This survey reviews the AIS 2024 Event-Based Eye Tracking (EET) Challenge. The task of the challenge focuses on processing eye movement recorded with event cameras and predicting t…

cs.SI20241 cited

Hierarchical Information Enhancement Network for Cascade Prediction in Social Networks

Fanrui Zhang, Jiawei Liu, Qiang Zhang +2

Understanding information cascades in networks is a fundamental issue in numerous applications. Current researches often sample cascade information into several independent paths o…

cs.SI2024

Multi-perspective Memory Enhanced Network for Identifying Key Nodes in Social Networks

Qiang Zhang, Jiawei Liu, Fanrui Zhang +2

Identifying key nodes in social networks plays a crucial role in timely blocking false information. Existing key node identification methods usually consider node influence only fr…

cs.CV20242 cited

VisualCritic: Making LMMs Perceive Visual Quality Like Humans

Zhipeng Huang, Zhizheng Zhang, Yiting Lu +3

At present, large multimodal models (LMMs) have exhibited impressive generalization capabilities in understanding and generating visual signals. However, they currently still lack…

cs.CV2024

RelationVLM: Making Large Vision-Language Models Understand Visual Relations

Zhipeng Huang, Zhizheng Zhang, Zheng-Jun Zha +2

The development of Large Vision-Language Models (LVLMs) is striving to catch up with the success of Large Language Models (LLMs), yet it faces more challenges to be resolved. Very…