activity
20192021
most citedRGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment

59 citations · 100 across the 4 of their papers we have counts for

collaborators

7 papers

cs.LG2021

Group Feature Learning and Domain Adversarial Neural Network for aMCI Diagnosis System Based on EEG

Chen-Chen Fan, Haiqun Xie, Liang Peng +8

Medical diagnostic robot systems have been paid more and more attention due to its objectivity and accuracy. The diagnosis of mild cognitive impairment (MCI) is considered an effec…

cs.CV20201 cited

Efficient Human Pose Estimation by Learning Deeply Aggregated Representations

Zhengxiong Luo, Zhicheng Wang, Yuanhao Cai +6

In this paper, we propose an efficient human pose estimation network (DANet) by learning deeply aggregated representations. Most existing models explore multi-scale information mai…

cs.CV20203 cited

Faster Person Re-Identification

Guan'an Wang, Shaogang Gong, Jian Cheng +1

Fast person re-identification (ReID) aims to search person images quickly and accurately. The main idea of recent fast ReID methods is the hashing algorithm, which learns compact b…

cs.CV2020

High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification

Guan'an Wang, Shuo Yang, Huanyu Liu +6

Occluded person re-identification (ReID) aims to match occluded person images to holistic ones across dis-joint cameras. In this paper, we propose a novel framework by learning hig…

cs.CV202037 cited

Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification

Guan-An Wang, Tianzhu Zhang. Yang Yang, Jian Cheng +3

RGB-Infrared (IR) person re-identification is very challenging due to the large cross-modality variations between RGB and IR images. The key solution is to learn aligned features t…

cs.CV2020

BARNet: Bilinear Attention Network with Adaptive Receptive Fields for Surgical Instrument Segmentation

Zhen-Liang Ni, Gui-Bin Bian, Guan-An Wang +5

Surgical instrument segmentation is extremely important for computer-assisted surgery. Different from common object segmentation, it is more challenging due to the large illuminati…