activity
20242026
most citedU-VAP: User-specified Visual Appearance Personalization via Decoupled Self Augmentation

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Event-Illumination Collaborative Low-light Image Enhancement with a High-resolution Real-world Dataset

Senyan Xu, Zhijing Sun, Kean Liu +5

Event-based low-light image enhancement (LIE) methods mainly focus on incorporating high dynamic range (HDR) information from events while overlooking the essential global illumina…

cs.CV2026

EventGait: Towards Robust Gait Recognition with Event Streams

Senyan Xu, Shuai Chen, Chuanfu Shen +4

Gait recognition enables non-intrusive, privacy-preserving identification but suffers in uncontrolled environments due to illumination and motion sensitivity of conventional camera…

cs.CV2025

AIM 2025 challenge on Inverse Tone Mapping Report: Methods and Results

Chao Wang, Francesco Banterle, Bin Ren +25

This paper presents a comprehensive review of the AIM 2025 Challenge on Inverse Tone Mapping (ITM). The challenge aimed to push forward the development of effective ITM algorithms…

cs.CV2025

NTIRE 2025 Challenge on Event-Based Image Deblurring: Methods and Results

Lei Sun, Andrea Alfarano, Peiqi Duan +85

This paper presents an overview of NTIRE 2025 the First Challenge on Event-Based Image Deblurring, detailing the proposed methodologies and corresponding results. The primary goal…

cs.CV20241 cited

U-VAP: User-specified Visual Appearance Personalization via Decoupled Self Augmentation

You Wu, Kean Liu, Xiaoyue Mi +3

Concept personalization methods enable large text-to-image models to learn specific subjects (e.g., objects/poses/3D models) and synthesize renditions in new contexts. Given that t…