20 citations · 54 across the 11 of their papers we have counts for
6 papers · 1 filter
ANL: Anti-Noise Learning for Cross-Domain Person Re-Identification
Hongliang Zhang, Shoudong Han, Xiaofeng Pan +1
Due to the lack of labels and the domain diversities, it is a challenge to study person re-identification in the cross-domain setting. An admirable method is to optimize the target…
FTN: Foreground-Guided Texture-Focused Person Re-Identification
Donghaisheng Liu, Shoudong Han, Yang Chen +2
Person re-identification (Re-ID) is a challenging task as persons are often in different backgrounds. Most recent Re-ID methods treat the foreground and background information equa…
MAT: Motion-Aware Multi-Object Tracking
Shoudong Han, Piao Huang, Hongwei Wang +4
Modern multi-object tracking (MOT) systems usually model the trajectories by associating per-frame detections. However, when camera motion, fast motion, and occlusion challenges oc…
Refinements in Motion and Appearance for Online Multi-Object Tracking
Piao Huang, Shoudong Han, Jun Zhao +4
Modern multi-object tracking (MOT) system usually involves separated modules, such as motion model for location and appearance model for data association. However, the compatible p…
Poisson Kernel Avoiding Self-Smoothing in Graph Convolutional Networks
Ziqing Yang, Shoudong Han, Jun Zhao
Graph convolutional network (GCN) is now an effective tool to deal with non-Euclidean data, such as social networks in social behavior analysis, molecular structure analysis in the…
AI-GAN: Attack-Inspired Generation of Adversarial Examples
Tao Bai, Jun Zhao, Jinlin Zhu +4
Deep neural networks (DNNs) are vulnerable to adversarial examples, which are crafted by adding imperceptible perturbations to inputs. Recently different attacks and strategies hav…