2 citations · 4 across the 8 of their papers we have counts for
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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…
The Tenth NTIRE 2025 Image Denoising Challenge Report
Lei Sun, Hang Guo, Bin Ren +91
This paper presents an overview of the NTIRE 2025 Image Denoising Challenge (σ = 50), highlighting the proposed methodologies and corresponding results. The primary objective is to…
XR-VLM: Cross-Relationship Modeling with Multi-part Prompts and Visual Features for Fine-Grained Recognition
Chuanming Wang, Henming Mao, Huanhuan Zhang +2
Vision-Language Models (VLMs) have demonstrated impressive performance on various visual tasks, yet they still require adaptation on downstream tasks to achieve optimal performance…
Region-Aware Exposure Consistency Network for Mixed Exposure Correction
Jin Liu, Huiyuan Fu, Chuanming Wang +1
Exposure correction aims to enhance images suffering from improper exposure to achieve satisfactory visual effects. Despite recent progress, existing methods generally mitigate eit…
Learning Exposure Correction in Dynamic Scenes
Jin Liu, Bo Wang, Chuanming Wang +2
Exposure correction aims to enhance visual data suffering from improper exposures, which can greatly improve satisfactory visual effects. However, previous methods mainly focus on…
Mutual Distillation Learning For Person Re-Identification
Huiyuan Fu, Kuilong Cui, Chuanming Wang +2
With the rapid advancements in deep learning technologies, person re-identification (ReID) has witnessed remarkable performance improvements. However, the majority of prior works h…
Coarse-to-Fine Video Denoising with Dual-Stage Spatial-Channel Transformer
Wulian Yun, Mengshi Qi, Chuanming Wang +2
Video denoising aims to recover high-quality frames from the noisy video. While most existing approaches adopt convolutional neural networks~(CNNs) to separate the noise from the o…