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Kha Gia Quach(郭可嘉)
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Bio
His research interests lie in various topics, including Compressed Sensing, Sparse Representation, Image Processing, Deep Learning and Computer Vision. His recent work is on Non-convex Optimization for low-rank matrix optimization methods. Another work focuses on face modeling using Deep Appearance Models. He also interested in soft biometric topics involving Facial Age Estimation and Age Progression, among which is the topic of his master thesis.
Papers27 papers
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CVPR, pp.6131-6140, (2020)
BTAS, pp.1-6, (2019)
arXiv: Computer Vision and Pattern Recognition, (2019)
EIBibtex
CVPR, (2019): 10013-10022
Cited by6EIBibtex
International Journal of Computer Vision, no. 6 (2019): 957-971
International Journal of Computer Vision, no. 5 (2018): 437-455
arXiv: Computer Vision and Pattern Recognition, (2018)
Cited by1EIBibtex
IEEE Transactions on Image Processing, no. 5 (2018): 2393-2407
arXiv: Computer Vision and Pattern Recognition, (2018)
EIBibtex
ICIAR, pp.285-292, (2018)
EIBibtex
arXiv: Computer Vision and Pattern Recognition, (2018)
EIBibtex
Computer Vision and Image Understanding, (2017): 126-140
Cited by14EIBibtex
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp.1203-1210, (2017)
ICPR, (2016): 390-395
CVPR, (2016)
Cited by28EIBibtex
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