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20172026
most citedJoint Self-Attention and Scale-Aggregation for Self-Calibrated Deraining Network

7 citations · 28 across the 7 of their papers we have counts for

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8 papers · 1 filter

cs.CV2026

Multi-Modal Object Re-Identification with Prompt-S6 and Semantic-Aware Knowledge Guidance

Weixiang Zhou, Jiabei Zuo, Yuhao Wang +3

Multi-modal object Re-Identification (ReID) aims to retrieve specific objects by integrating complementary information from multiple modalities. However, existing multi-modal ReID…

cs.CV20235 cited

Learning A Coarse-to-Fine Diffusion Transformer for Image Restoration

Liyan Wang, Qinyu Yang, Cong Wang +3

Recent years have witnessed the remarkable performance of diffusion models in various vision tasks. However, for image restoration that aims to recover clear images with sharper de…

cs.CV20236 cited

Real-World Denoising via Diffusion Model

Cheng Yang, Lijing Liang, Zhixun Su

Real-world image denoising is an extremely important image processing problem, which aims to recover clean images from noisy images captured in natural environments. In recent year…

cs.CV20207 cited

Joint Self-Attention and Scale-Aggregation for Self-Calibrated Deraining Network

Cong Wang, Yutong Wu, Zhixun Su +1

In the field of multimedia, single image deraining is a basic pre-processing work, which can greatly improve the visual effect of subsequent high-level tasks in rainy conditions. I…

cs.CV2020

DCSFN: Deep Cross-scale Fusion Network for Single Image Rain Removal

Cong Wang, Xiaoying Xing, Zhixun Su +1

Rain removal is an important but challenging computer vision task as rain streaks can severely degrade the visibility of images that may make other visions or multimedia tasks fail…

cs.CV2019

Non-rigid 3D shape retrieval based on multi-view metric learning

Haohao Li, Shengfa Wang, Nannan Li +2

This study presents a novel multi-view metric learning algorithm, which aims to improve 3D non-rigid shape retrieval. With the development of non-rigid 3D shape analysis, there exi…