59 citations · 148 across the 8 of their papers we have counts for
7 papers · 1 filter
Rapid Person Re-Identification via Sub-space Consistency Regularization
Qingze Yin, Guanan Wang, Guodong Ding +3
Person Re-Identification (ReID) matches pedestrians across disjoint cameras. Existing ReID methods adopting real-value feature descriptors have achieved high accuracy, but they are…
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…
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…
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…
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…
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…
RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment
Guan'an Wang, Tianzhu Zhang, Jian Cheng +3
RGB-Infrared (IR) person re-identification is an important and challenging task due to large cross-modality variations between RGB and IR images. Most conventional approaches aim t…