no code implementations • 29 Mar 2022 • Kunyuan Li, Jun Zhang, Jun Gao, Meibin Qi
In this paper, we propose a self-supervised learning framework for light field depth estimation.
no code implementations • 20 Nov 2018 • Hao Liu, Jingjing Wu, Jianguo Jiang, Meibin Qi, Bo Ren
Attribute recognition has become crucial because of its wide applications in many computer vision tasks, such as person re-identification.
no code implementations • ICCV 2017 • Hao Liu, Jiashi Feng, Zequn Jie, Karlekar Jayashree, Bo Zhao, Meibin Qi, Jianguo Jiang, Shuicheng Yan
We investigate the problem of person search in the wild in this work.
Ranked #4 on Person Re-Identification on CUHK-SYSU
1 code implementation • 13 Jun 2017 • Hao liu, Zequn Jie, Karlekar Jayashree, Meibin Qi, Jianguo Jiang, Shuicheng Yan, Jiashi Feng
Video based person re-identification plays a central role in realistic security and video surveillance.
no code implementations • 1 Jan 2017 • Hao Liu, Zequn Jie, Karlekar Jayashree, Meibin Qi, Jianguo Jiang, Shuicheng Yan, Jiashi Feng
Video based person re-identification plays a central role in realistic security and video surveillance.
no code implementations • 14 Jun 2016 • Hao Liu, Jiashi Feng, Meibin Qi, Jianguo Jiang, Shuicheng Yan
The CAN model is able to learn which parts of images are relevant for discerning persons and automatically integrates information from different parts to determine whether a pair of images belongs to the same person.