no code implementations • ICCV 2015 • Chao Xiong, Xiaowei Zhao, Danhang Tang, Karlekar Jayashree, Shuicheng Yan, Tae-Kyun Kim
Faces in the wild are usually captured with various poses, illuminations and occlusions, and thus inherently multimodally distributed in many tasks.
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.
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 • 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
no code implementations • CVPR 2018 • Jian Zhao, Yu Cheng, Yan Xu, Lin Xiong, Jianshu Li, Fang Zhao, Karlekar Jayashree, Sugiri Pranata, ShengMei Shen, Junliang Xing, Shuicheng Yan, Jiashi Feng
To this end, we propose a Pose Invariant Model (PIM) for face recognition in the wild, with three distinct novelties.
1 code implementation • 25 Jul 2022 • Tan Wang, Qianru Sun, Sugiri Pranata, Karlekar Jayashree, Hanwang Zhang
We are interested in learning robust models from insufficient data, without the need for any externally pre-trained checkpoints.
2 code implementations • ICCV 2023 • Jiali Ma, Zhongqi Yue, Kagaya Tomoyuki, Suzuki Tomoki, Karlekar Jayashree, Sugiri Pranata, Hanwang Zhang
Unfortunately, face datasets inevitably capture the imbalanced demographic attributes that are ubiquitous in real-world observations, and the model learns biased feature that generalizes poorly in the minority group.