Research output per year
Research output per year
Search results
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2019
Deep learning in face recognition across variations in pose and illumination
Jiang, X., Hou, Y., Zhang, D. & Feng, X., 1 Jan 2019, Deep Learning in Object Detection and Recognition. Springer Singapore, p. 59-90 32 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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Face anti-spoofing via deep local binary pattern
Li, L. & Feng, X., 1 Jan 2019, Deep Learning in Object Detection and Recognition. Springer Singapore, p. 91-111 21 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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Kinship verification based on deep learning
Wu, X., Feng, X., Li, L., Boutellaa, E. & Hadid, A., 1 Jan 2019, Deep Learning in Object Detection and Recognition. Springer Singapore, p. 113-132 20 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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2016
Lighting estimation and adjustment for facial images
Jiang, X., Feng, X., Wu, J. & Peng, J., 1 Jan 2016, Advances in Face Detection and Facial Image Analysis. Springer International Publishing, p. 35-62 28 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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2004
A coarse-to-fine classification scheme for facial expression recognition
Feng, X., Hadid, A. & Pietikäinen, M., 2004, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Campilho, A. & Kamel, M. (eds.). Springer Verlag, p. 668-675 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3212).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review