Search Results for author: Shenqi Lai

Found 6 papers, 4 papers with code

Feature Decomposition and Reconstruction Learning for Effective Facial Expression Recognition

no code implementations CVPR 2021 Delian Ruan, Yan Yan, Shenqi Lai, Zhenhua Chai, Chunhua Shen, Hanzi Wang

In this paper, we propose a novel Feature Decomposition and Reconstruction Learning (FDRL) method for effective facial expression recognition.

Facial Expression Recognition

Preparing Lessons: Improve Knowledge Distillation with Better Supervision

1 code implementation18 Nov 2019 Tiancheng Wen, Shenqi Lai, Xueming Qian

Knowledge distillation (KD) is widely used for training a compact model with the supervision of another large model, which could effectively improve the performance.

Knowledge Distillation

Grand Challenge of 106-Point Facial Landmark Localization

no code implementations9 May 2019 Yinglu Liu, Hao Shen, Yue Si, Xiaobo Wang, Xiangyu Zhu, Hailin Shi, Zhibin Hong, Hanqi Guo, Ziyuan Guo, Yanqin Chen, Bi Li, Teng Xi, Jun Yu, Haonian Xie, Guochen Xie, Mengyan Li, Qing Lu, Zengfu Wang, Shenqi Lai, Zhenhua Chai, Xiaoming Wei

However, previous competitions on facial landmark localization (i. e., the 300-W, 300-VW and Menpo challenges) aim to predict 68-point landmarks, which are incompetent to depict the structure of facial components.

Face Alignment Face Recognition +2

Bag of Tricks and A Strong Baseline for Deep Person Re-identification

8 code implementations17 Mar 2019 Hao Luo, Youzhi Gu, Xingyu Liao, Shenqi Lai, Wei Jiang

In the literature, some effective training tricks are briefly appeared in several papers or source codes.

Person Re-Identification

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