Han Zhang

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Google Brain

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My research interests are computer vision, deep learning, and medical image analysis. My current research is focused on generative modeling, semi-supervised learning and vision-language interaction.

Papers25 papers

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PseudoSeg: Designing Pseudo Labels for Semantic Segmentation

Yuliang Zou,Zizhao Zhang,Han Zhang, Chun-Liang Li, Xiao Bian,Jia-Bin Huang,Tomas Pfister

Bibtex

Improved Consistency Regularization for GANs

Zhao Zhengli, Singh Sameer,Lee Honglak,Zhang Zizhao,Odena Augustus,Zhang Han

Bibtex

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Sohn Kihyuk,Berthelot David,Li Chun-Liang,Zhang Zizhao,Carlini Nicholas,Cubuk Ekin D.,Kurakin Alex,Zhang Han,Raffel Colin

neural information processing systems, (2020)

Cited by75Bibtex

Consistency Regularization for Generative Adversarial Networks

Han Zhang,Zizhao Zhang,Augustus Odena,Honglak Lee

ICLR, (2020)

Cited by8EIBibtex

Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models

Daras Giannis,Odena Augustus,Zhang Han, Dimakis Alexandros G.

CVPR, pp.14519-14527, (2019)

Cited by10EIBibtex

Small-GAN: Speeding Up GAN Training Using Core-sets

Sinha Samarth,Zhang Han,Goyal Anirudh,Bengio Yoshua,Larochelle Hugo,Odena Augustus

ICML, pp.9005-9015, (2019)

Cited by4EIBibtex

Co-Occurrent Features in Semantic Segmentation

Hang Zhang,Han Zhang,Chenguang Wang,Junyuan Xie

CVPR, pp.548-557, (2019)

Cited by46EIBibtex

Lesion Detection with Deep Aggregated 3D Contextual Feature and Auxiliary Information

Han Zhang, Albert C. S. Chung

MLMI@MICCAI, pp.45-53, (2019)

EIBibtex

SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation

Yuan Xue,Tao Xu,Han Zhang,L. Rodney Long,Xiaolei Huang

Neuroinformatics, no. 3-4 (2018): 383-392

Cited by17EIBibtex

AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks

Tao Xu, Pengchuan Zhang,Qiuyuan Huang,Han Zhang,Zhe Gan,Xiaolei Huang,Xiaodong He

computer vision and pattern recognition, (2018)

Cited by362EIBibtex

StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks

Han Zhang,Tao Xu,Hongsheng Li,Shaoting Zhang,Xiaogang Wang,Xiaolei Huang,Dimitris N. Metaxas

IEEE transactions on pattern analysis and machine intelligence, no. 8 (2018): 1947-1962

Cited by277EIWOSBibtex

Improving GANs Using Optimal Transport

Tim Salimans,Han Zhang,Alec Radford,Dimitris N. Metaxas

ICLR, (2018)

Cited by100EIBibtex

SegAN: Adversarial Network with Multi-scale L 1 Loss for Medical Image Segmentation

Yuan Xue,Tao Xu,Han Zhang,L Rodney Long,Xiaolei Huang

Neuroinformatics, (2018)

Cited by180WOSBibtex

Self-Attention Generative Adversarial Networks

Han Zhang,Ian J. Goodfellow,Dimitris N. Metaxas,Augustus Odena

arXiv: Machine Learning, (2018)

Cited by809EIBibtex

Link the Head to the "Beak": Zero Shot Learning from Noisy Text Description at Part Precision

Mohamed Elhoseiny,Yizhe Zhu,Han Zhang,Ahmed Elgammal

CVPR, (2017): 6288-6297

Cited by42EIBibtex

Multi-feature based benchmark for cervical dysplasia classification evaluation

Tao Xu,Han Zhang, Cheng Xin,Edward Kim,L. Rodney Long,Zhiyun Xue,Sameer K. Antani,Xiaolei Huang

Pattern Recognition, (2017): 468-475

Cited by38EIWOSBibtex

StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks

Han Zhang,Tao Xu,Hongsheng Li,Shaoting Zhang,Xiaolei Huang,Xiaogang Wang,Dimitris N. Metaxas

international conference on computer vision, (2017)

Cited by1200EIBibtex

SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-Grained Recognition

Han Zhang,Tao Xu,Mohamed Elhoseiny,Xiaolei Huang,Shaoting Zhang,Ahmed M. Elgammal,Dimitris N. Metaxas

CVPR, pp.1143-1152, (2016)

Cited by170EIBibtex

Multimodal Deep Learning for Cervical Dysplasia Diagnosis

Tao Xu,Han Zhang,Xiaolei Huang,Shaoting Zhang,Dimitris N. Metaxas

MICCAI, pp.115-123, (2016)

Cited by82EIBibtex

A feature extraction method based on dictionary learning for EEG

Lingyue Xie,Han Zhang,Feng Duan

International Conference on Natural Computation, (2015)

EIBibtex

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