Yu Chen
Yu Chen
Motovis Australia
Verified email at motovis.com
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Adversarial posenet: A structure-aware convolutional network for human pose estimation
Y Chen, C Shen, XS Wei, L Liu, J Yang
Proceedings of the IEEE International Conference on Computer Vision, 1212-1221, 2017
FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors
Y Chen, Y Tai, X Liu, C Shen, J Yang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Towards highly accurate and stable face alignment for high-resolution videos
Y Tai, Y Liang, X Liu, L Duan, J Li, C Wang, F Huang, Y Chen
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 8893-8900, 2019
Face recognition with pose variations and misalignment via orthogonal procrustes regression
Y Tai, J Yang, Y Zhang, L Luo, J Qian, Y Chen
IEEE Transactions on Image Processing 25 (6), 2673-2683, 2016
Adversarial learning of structure-aware fully convolutional networks for landmark localization
Y Chen, C Shen, H Chen, XS Wei, L Liu, J Yang
IEEE transactions on pattern analysis and machine intelligence 42 (7), 1654-1669, 2019
Recurrent neural network for facial landmark detection
Y Chen, J Yang, J Qian
Neurocomputing 219, 26-38, 2017
Adaptive noise dictionary construction via IRRPCA for face recognition
Y Chen, J Yang, L Luo, H Zhang, J Qian, Y Tai, J Zhang
Pattern Recognition 59, 26-41, 2016
Facial landmark detection via pose-induced auto-encoder networks
Y Chen, W Luo, J Yang
2015 IEEE International Conference on Image Processing (ICIP), 2115-2119, 2015
Face alignment with cascaded bidirectional lstm neural networks
Y Chen, J Qian, J Yang, Z Jin
2016 23rd international conference on pattern recognition (ICPR), 313-318, 2016
Robust principal component analysis for recognition
Y Chen, J Yang
International Conference on Intelligent Science and Big Data Engineering …, 2013
Single-Sample Face Recognition via Fusion Variant Dictionary
Y Tai, J Yang, J Qian, Y Chen
Chinese Conference on Pattern Recognition, 341-350, 2014
Generic Perceptual Loss for Modeling Structured Output Dependencies
Y Liu, H Chen, Y Chen, W Yin, C Shen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
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