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2020 – today
- 2024
[j4]Xun Xu, Jingyi Liao, Lile Cai
, Manh Cuong Nguyen, Kangkang Lu, Wanyue Zhang, Yasin Yazici, Chuan Sheng Foo:
Revisiting pretraining for semi-supervised learning in the low-label regime. Neurocomputing 565: 126971 (2024)- [j3]Duo Peng, Qiuhong Ke, Arulmurugan Ambikapathi, Yasin Yazici, Yinjie Lei, Jun Liu:
Unsupervised Domain Adaptation via Domain-Adaptive Diffusion. IEEE Trans. Image Process. 33: 4245-4260 (2024) - 2022
- [j2]Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Yasin Yazici, Chuan-Sheng Foo, Vijay Chandrasekhar, Arulmurugan Ambikapathi:
Classify and generate: Using classification latent space representations for image generations. Neurocomputing 471: 296-334 (2022) - [j1]Xun Xu, Cuong Manh Nguyen, Yasin Yazici, Kangkang Lu, Hlaing Min, Chuan-Sheng Foo:
SemiCurv: Semi-Supervised Curvilinear Structure Segmentation. IEEE Trans. Image Process. 31: 5109-5120 (2022) - [c5]Yasin Yazici, Bruno Lecouat, Kim-Hui Yap, Stefan Winkler, Georgios Piliouras, Vijay Chandrasekhar, Chuan-Sheng Foo:
Mixed Membership Generative Adversarial Networks. ICIP 2022: 1026-1030 - [i6]Xun Xu, Jingyi Liao, Lile Cai, Cuong Manh Nguyen, Kangkang Lu, Wanyue Zhang, Yasin Yazici, Chuan Sheng Foo:
Revisiting Pretraining for Semi-Supervised Learning in the Low-Label Regime. CoRR abs/2205.03001 (2022) - [i5]Xun Xu, Manh Cuong Nguyen, Yasin Yazici, Kangkang Lu, Hlaing Min, Chuan-Sheng Foo:
SemiCurv: Semi-Supervised Curvilinear Structure Segmentation. CoRR abs/2205.08706 (2022) - 2020
- [c4]Yasin Yazici, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, Vijay Chandrasekhar:
Empirical Analysis Of Overfitting And Mode Drop In Gan Training. ICIP 2020: 1651-1655 - [i4]Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Yasin Yazici, Chuan-Sheng Foo, Vijay Chandrasekhar, Arulmurugan Ambikapathi:
Classification Representations Can be Reused for Downstream Generations. CoRR abs/2004.07543 (2020) - [i3]Yasin Yazici, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, Vijay Chandrasekhar:
Empirical Analysis of Overfitting and Mode Drop in GAN Training. CoRR abs/2006.14265 (2020)
2010 – 2019
- 2019
- [c3]Yasin Yazici, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, Georgios Piliouras, Vijay Chandrasekhar:
The Unusual Effectiveness of Averaging in GAN Training. ICLR (Poster) 2019 - [i2]Yasin Yazici, Bruno Lecouat, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, Georgios Piliouras, Vijay Chandrasekhar:
Venn GAN: Discovering Commonalities and Particularities of Multiple Distributions. CoRR abs/1902.03444 (2019) - 2018
- [c2]Yasin Yazici, Kim-Hui Yap, Stefan Winkler:
Autoregressive Generative Adversarial Networks. ICLR (Workshop) 2018 - [i1]Yasin Yazici, Chuan Sheng Foo, Stefan Winkler, Kim-Hui Yap, Georgios Piliouras, Vijay Chandrasekhar:
The Unusual Effectiveness of Averaging in GAN Training. CoRR abs/1806.04498 (2018) - 2016
- [c1]Vassilios Vonikakis, Yasin Yazici, Viet Dung Nguyen, Stefan Winkler:
Group happiness assessment using geometric features and dataset balancing. ICMI 2016: 479-486
Coauthor Index
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