Research output per year
Research output per year
Personal profile
Author IDs
ORCID iD: 0000-0002-5645-2220
Fingerprint
Dive into the research topics where Tohokantche Aurele GNANHA is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 7 Similar Profiles
Collaborations from the last five years
Recent external collaboration based on locations. Dive into details by clicking on the dots or
Research output
-
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., Apr 2025, In: IEEE Transactions on Neural Networks and Learning Systems. 36, 4, p. 6422-6436 15 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
4 Link opens in a new tab Citations (Scopus) -
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
7 Link opens in a new tab Citations (Scopus) -
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
23 Link opens in a new tab Citations (Scopus) -
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
15 Link opens in a new tab Citations (Scopus) -
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. IEEE, 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
1 Link opens in a new tab Citation (Scopus)
Thesis
-
Improving the Stability and Convergence of GAN Training
GNANHA, T. A. (Author), WONG, H. S. (Supervisor) & Li, Q. (External Co-Supervisor), 5 Sept 2022Student thesis: Doctoral Thesis