Dr. GNANHA Tohokantche Aurele
Research Output
- 2024
- Online published
EviD-GAN: Improving GAN With an Infinite Set of Discriminators at Negligible Cost
Gnanha, A. T., Cao, W., Mao, X., Wu, S., Wong, H.-S. & Li, Q., 19 Aug 2024, (Online published) In: IEEE Transactions on Neural Networks and Learning Systems. 15 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 1 - 2022
- Published
Cycle Encoding of a StyleGAN Encoder for Improved Reconstruction and Editability
Mao, X., Cao, L., Gnanha, A. T., Yang, Z., Li, Q. & Ji, R., 10 Oct 2022, MM '22: Proceedings of the 30th ACM International Conference on Multimedia. Association for Computing Machinery, p. 2032-2041 (MM 2022 - Proceedings of the 30th ACM International Conference on Multimedia).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Scopus citations: 4 - Published
αβ-GAN: Robust Generative Adversarial Networks
Gnanha, A. T., Cao, W., Mao, X., Wu, S., Wong, H.-S. & Li, Q., May 2022, In: Information Sciences. 593, p. 177-200Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 10 - Published
The residual generator: An improved divergence minimization framework for GAN
Gnanha, A. T., Cao, W., Mao, X., Wu, S., Wong, H.-S. & Li, Q., Jan 2022, In: Pattern Recognition. 121, 108222.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 19 - 2021
- Published
UNSUPERVISED DOMAIN ADAPTATION VIA CLUSTER ALIGNMENT WITH MAXIMUM CLASSIFIER DISCREPANCY
Azzam, M., Wu, S., Gnanha, A. T., Jiao, Q. & Wong, H.-S., Jul 2021, 2021 IEEE International Conference on Multimedia and Expo (ICME). Institute of Electrical and Electronics Engineers, Inc., 6 p.Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Scopus citations: 3 - Published
Adversarially Constrained Interpolation for Unsupervised Domain Adaptation
Azzam, M., Gnanha, A. T., Wong, H.-S. & Wu, S., Jan 2021, Proceedings of ICPR 2020: 25th International Conference on Pattern Recognition. Institute of Electrical and Electronics Engineers, p. 2375-2381 9412471. (Proceedings - International Conference on Pattern Recognition).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
- Published
Adversarially Smoothed Feature Alignment for Visual Domain Adaptation
Azzam, M., Wu, S., Zhang, Y., Gnanha, A. T. & Wong, H.-S., 2021, 2021 International Joint Conference on Neural Networks (IJCNN) Proceedings. Institute of Electrical and Electronics Engineers, (Proceedings of the International Joint Conference on Neural Networks).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review