7 citations · 28 across the 7 of their papers we have counts for
8 papers · 1 filter
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…
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…
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…
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…
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…
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…