Who is Closer: A Computational Method for Domain Gap Evaluation

Xiaobin Liu*, Shiliang Zhang

Pattern Recognition, 2021. [Paper] [code]

Graph Consistency based Mean-Teaching for Unsupervised Domain Adaptive Person Re-Identification

Xiaobin Liu*, Shiliang Zhang

IJCAI, 2021. [Paper] [code]

Domain Adaptive Person Re-Identification via Coupling Optimization

Xiaobin Liu, Shiliang Zhang*

ACM MM oral, 2020. [Paper] [code]

Group-Group Loss Based Global-Regional Feature Learning for Vehicle Re-Identification

Xiaobin Liu, Shiliang Zhang*, Xiaoyu Wang, Qi Tian

IEEE T-IP, 2020. [Paper] [code]

E2BoWs: An End-to-End Bag-of-Words Model via Deep Convolutional Neural Network for Image Retrieval

Xiaobin Liu, Shiliang Zhang*, Tiejun Huang, Qi Tian

Neurocomputing, 2019. [Paper] [code]

EAGER: Edge-Aided imaGe undERstanding System

Jianzhong He, Xiaobin Liu, Shiliang Zhang.

ICMR Demo, 2019. [paper]

Self-Guided Hash Coding for Large-Scale Person Re-Identification

Xiaobin Liu*, Shiliang Zhang, Ming Yang.

MIPR oral, 2019. (Acceptance rate: 19.3%) [Paper]

SCAN: Spatial and Channel Attention Network for Vehicle Re-Identification

Shangzhi Teng*, Xiaobin Liu, Shiliang Zhang, Qingming Huang.

PCM, 2018. [Paper]

VP-ReID: Vehicle and Person Re-Identification System

Longhui Wei, Xiaobin Liu, Jianing Li, Shiliang Zhang*.

ICMR Demo, 2018. [Paper] [Demo]

RAM: A Region-Aware Deep Model for Vehicle Re-Identification

Xiaobin Liu, Shiliang Zhang, Qingming Huang, Wen Gao.

ICME, 2018. [Paper] [Code]

E2BoWs: An End-to-End Bag-of-Words Model via Deep Convolutional Neural Network

Xiaobin Liu*, Shiliang zhang, Tiejun Huang, Qi Tian

China MM, 2017. [paper] [code]