298 citations · 1.5k across the 72 of their papers we have counts for
7 papers · 1 filter
Fully Unsupervised Person Re-identification viaSelective Contrastive Learning
Bo Pang, Deming Zhai, Junjun Jiang +1
Person re-identification (ReID) aims at searching the same identity person among images captured by various cameras. Unsupervised person ReID attracts a lot of attention recently,…
Graph Signal Processing for Geometric Data and Beyond: Theory and Applications
Wei Hu, Jiahao Pang, Xianming Liu +3
Geometric data acquired from real-world scenes, e.g., 2D depth images, 3D point clouds, and 4D dynamic point clouds, have found a wide range of applications including immersive tel…
Single Image Deraining via Scale-space Invariant Attention Neural Network
Bo Pang, Deming Zhai, Junjun Jiang +1
Image enhancement from degradation of rainy artifacts plays a critical role in outdoor visual computing systems. In this paper, we tackle the notion of scale that deals with visual…
Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery
Junjun Jiang, He Sun, Xianming Liu +1
Recently, single gray/RGB image super-resolution reconstruction task has been extensively studied and made significant progress by leveraging the advanced machine learning techniqu…
Rectified Meta-Learning from Noisy Labels for Robust Image-based Plant Disease Diagnosis
Ruifeng Shi, Deming Zhai, Xianming Liu +2
Plant diseases serve as one of main threats to food security and crop production. It is thus valuable to exploit recent advances of artificial intelligence to assist plant disease…
Rapid Whole Slide Imaging via Learning-based Two-shot Virtual Autofocusing
Qiang Li, Xianming Liu, Kaige Han +3
Whole slide imaging (WSI) is an emerging technology for digital pathology. The process of autofocusing is the main influence of the performance of WSI. Traditional autofocusing met…
ADRN: Attention-based Deep Residual Network for Hyperspectral Image Denoising
Yongsen Zhao, Deming Zhai, Junjun Jiang +1
Hyperspectral image (HSI) denoising is of crucial importance for many subsequent applications, such as HSI classification and interpretation. In this paper, we propose an attention…