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Qiangchang Wang
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2020 – today
- 2024
- [j11]Peng Zhao, Qiangchang Wang, Yilong Yin:
DSPformer: discovering semantic parts with token growth and clustering for zero-shot learning. Int. J. Multim. Inf. Retr. 13(3): 27 (2024) - 2023
- [j10]Fanglei Xue
, Qiangchang Wang
, Zichang Tan
, Zhongsong Ma
, Guodong Guo
:
Vision Transformer With Attentive Pooling for Robust Facial Expression Recognition. IEEE Trans. Affect. Comput. 14(4): 3244-3256 (2023) - [c5]Peng Zhao
, Qiangchang Wang
, Yilong Yin
:
M3R: Masked Token Mixup and Cross-Modal Reconstruction for Zero-Shot Learning. ACM Multimedia 2023: 3161-3171 - [i4]Qiangchang Wang, Yilong Yin:
Recent Advances of Local Mechanisms in Computer Vision: A Survey and Outlook of Recent Work. CoRR abs/2306.01929 (2023) - 2022
- [j9]Zhuo Wang
, Qiangchang Wang
, Weihong Deng, Guodong Guo
:
Face Anti-Spoofing Using Transformers With Relation-Aware Mechanism. IEEE Trans. Biom. Behav. Identity Sci. 4(3): 439-450 (2022) - [j8]Zhuo Wang
, Qiangchang Wang
, Weihong Deng
, Guodong Guo
:
Learning Multi-Granularity Temporal Characteristics for Face Anti-Spoofing. IEEE Trans. Inf. Forensics Secur. 17: 1254-1269 (2022) - [c4]Qiangchang Wang
, Guodong Guo:
CQA-Face: Contrastive Quality-Aware Attentions for Face Recognition. AAAI 2022: 2504-2512 - [i3]Fanglei Xue, Qiangchang Wang, Zichang Tan, Zhongsong Ma, Guodong Guo:
Vision Transformer with Attentive Pooling for Robust Facial Expression Recognition. CoRR abs/2212.05463 (2022) - 2021
- [j7]Qiangchang Wang
, Guodong Guo
:
DSA-Face: Diverse and Sparse Attentions for Face Recognition Robust to Pose Variation and Occlusion. IEEE Trans. Inf. Forensics Secur. 16: 4534-4543 (2021) - [j6]Qiangchang Wang
, Guodong Guo
:
AAN-Face: Attention Augmented Networks for Face Recognition. IEEE Trans. Image Process. 30: 7636-7648 (2021) - [c3]Fanglei Xue, Qiangchang Wang, Guodong Guo:
TransFER: Learning Relation-aware Facial Expression Representations with Transformers. ICCV 2021: 3581-3590 - [i2]Fanglei Xue, Qiangchang Wang, Guodong Guo:
TransFER: Learning Relation-aware Facial Expression Representations with Transformers. CoRR abs/2108.11116 (2021) - 2020
- [j5]Yu-Feng Yu, Qiangchang Wang, Min Jiang:
Discriminative common feature subspace learning for age-invariant face recognition. IET Biom. 9(4): 136-142 (2020) - [j4]Shan Jia
, Guodong Guo, Zhengquan Xu, Qiangchang Wang:
Face presentation attack detection in mobile scenarios: A comprehensive evaluation. Image Vis. Comput. 93: 103826 (2020) - [j3]Qiangchang Wang
, Guodong Guo
:
LS-CNN: Characterizing Local Patches at Multiple Scales for Face Recognition. IEEE Trans. Inf. Forensics Secur. 15: 1640-1653 (2020) - [c2]Qiangchang Wang, Tianyi Wu, He Zheng, Guodong Guo:
Hierarchical Pyramid Diverse Attention Networks for Face Recognition. CVPR 2020: 8323-8332
2010 – 2019
- 2019
- [j2]Qiangchang Wang
, Guodong Guo
:
Benchmarking deep learning techniques for face recognition. J. Vis. Commun. Image Represent. 65 (2019) - 2018
- [j1]Qiangchang Wang
, Yuanjie Zheng, Gongping Yang
, Weidong Jin, Xinjian Chen
, Yilong Yin:
Multiscale Rotation-Invariant Convolutional Neural Networks for Lung Texture Classification. IEEE J. Biomed. Health Informatics 22(1): 184-195 (2018) - 2017
- [c1]Meng Yang, Qiangchang Wang, Wei Wen, Zhihui Lai:
Multi-feature Joint Dictionary Learning for Face Recognition. ACPR 2017: 629-633 - [i1]Qiangchang Wang, Guodong Guo, Mohammad Iqbal Nouyed:
Learning Channel Inter-dependencies at Multiple Scales on Dense Networks for Face Recognition. CoRR abs/1711.10103 (2017)
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last updated on 2024-07-09 21:59 CEST by the dblp team
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