Yasin Yazici

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 15

Top Topics

Curvilinear Structures

Supervised Learning

Avoid Overfitting

Top Venues

IEEE Trans. Image Process.

Publications

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 (2024)
Duo Peng, Qiuhong Ke, Arulmurugan Ambikapathi, Yasin Yazici, Yinjie Lei, Jun Liu
Unsupervised Domain Adaptation via Domain-Adaptive Diffusion. IEEE Trans. Image Process. 33 (2024)
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 (2022)
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 (2022)
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 (2022)
Xun Xu, Manh Cuong Nguyen, Yasin Yazici, Kangkang Lu, Hlaing Min, Chuan-Sheng Foo
SemiCurv: Semi-Supervised Curvilinear Structure Segmentation. CoRR (2022)
Yasin Yazici, Bruno Lecouat, Kim-Hui Yap, Stefan Winkler, Georgios Piliouras, Vijay Chandrasekhar, Chuan-Sheng Foo
Mixed Membership Generative Adversarial Networks. ICIP (2022)
Yasin Yazici, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, Vijay Chandrasekhar
Empirical Analysis of Overfitting and Mode Drop in GAN Training. CoRR (2020)
Yasin Yazici, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, Vijay Chandrasekhar
Empirical Analysis Of Overfitting And Mode Drop In Gan Training. ICIP (2020)
Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Yasin Yazici, Chuan-Sheng Foo, Vijay Chandrasekhar, Arulmurugan Ambikapathi
Classification Representations Can be Reused for Downstream Generations. CoRR (2020)
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 (2019)
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)
Yasin Yazici, Kim-Hui Yap, Stefan Winkler
Autoregressive Generative Adversarial Networks. ICLR (Workshop) (2018)
Yasin Yazici, Chuan Sheng Foo, Stefan Winkler, Kim-Hui Yap, Georgios Piliouras, Vijay Chandrasekhar
The Unusual Effectiveness of Averaging in GAN Training. CoRR (2018)
Vassilios Vonikakis, Yasin Yazici, Viet Dung Nguyen, Stefan Winkler
Group happiness assessment using geometric features and dataset balancing. ICMI (2016)