About me
This is Qiangchang Wang (王强昌), a fifth-year CS Ph.D. student at West Virginia University, USA. Before that, I received M.S. from Shandong University, China in 2016. From June, 2019 to August, 2021, I worked as a research intern in Institue of Deep Learning, Baidu, China.
My research is mostly related to CV/ML. Much of my work relates to digital face processing, including face analysis (face recognition, facial expression recognition, facial quality estimation), the security of face biometric systems (face anti-spoofing, deepfake detection). I also worked on problems related to face generation, action recognition (skeleton-based and video-based), medical image analysis, robotics (SLAM, perception).
I am currently looking for full-time computer vision engineeer/researcher positions in China and United States. You can contact me via email (qiangchang.wang AT gmail.com)Research
Learning Multi-granularity Temporal Characteristics for Face Anti-Spoofing
Zhuo Wang*, Qiangchang Wang*, Weihong Deng, Guodong Guo (* denotes equal contribution)
IEEE Transactions on Information Forensics and Security, 2022
CQA-Face: Contrastive Quality-aware Attentions for Face Recognition
Qiangchang Wang, Guodong Guo
AAAI, 2022
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AAN-Face: Attention Augmented Networks for Face Recognition
Qiangchang Wang, Guodong Guo
IEEE Transactions on Image Processing, 2021
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DSA-Face: Diverse and Sparse Attentions for Face Recognition Robust to Pose Variation and Occlusion
Qiangchang Wang, Guodong Guo
IEEE Transactions on Information Forensics and Security, 2021
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TransFER: Learning Relation-aware Facial Expression Representations with Transformers
Fanglei Xue*, Qiangchang Wang*, Guodong Guo (* denotes equal contribution)
ICCV, 2021
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Hierarchical pyramid diverse attention networks for face recognition
Qiangchang Wang, Tianyi Wu, He Zheng, Guodong Guo
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
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LS-CNN: Characterizing Local Patches at Multiple Scales for Face Recognition
Qiangchang Wang, Guodong Guo
IEEE Transactions on Information Forensics and Security, 2019
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Benchmarking Deep Learning Techniques for Face Recognition
Qiangchang Wang, Guodong Guo
Journal of Visual Communication and Image Representation, 2019
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Multiscale rotation-invariant convolutional neural networks for lung texture classification
Qiangchang Wang, Yuanjie Zheng, Gongping Yang, Weidong Jin, Xinjian Chen, Yilong Yin
IEEE journal of biomedical and health informatics, 2017
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Discriminative common feature subspace learning for age-invariant face recognition
Yu-Feng Yu, Qiangchang Wang, Min Jiang
IET Biometrics, 2020
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Face presentation attack detection in mobile scenarios: A comprehensive evaluation
Shan Jia, Guodong Guo, Zhengquan Xu, Qiangchang Wang
Image and Vision Computing, 2020
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Multi-feature joint dictionary learning for face recognition
Meng Yang, Qiangchang Wang, Wei Wen, Zhihui Lai
2017 4th IAPR Asian Conference on Pattern Recognition (ACPR), 2017
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qiangchang.wang@gmail.com