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Han Zhang
Han Zhang
Research Scientist, Google Brain
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Self-attention generative adversarial networks
H Zhang, I Goodfellow, D Metaxas, A Odena
International conference on machine learning, 7354-7363, 2019
31662019
Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks
H Zhang, T Xu, H Li, S Zhang, X Wang, X Huang, D Metaxas
IEEE Int. Conf. Comput. Vision (ICCV), 5907-5915, 2017
25042017
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
K Sohn, D Berthelot, CL Li, Z Zhang, N Carlini, ED Cubuk, A Kurakin, ...
arXiv preprint arXiv:2001.07685, 2020
13742020
Attngan: Fine-grained text to image generation with attentional generative adversarial networks
T Xu, P Zhang, Q Huang, H Zhang, Z Gan, X Huang, X He
Proceedings of the IEEE conference on computer vision and pattern …, 2018
11572018
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks
H Zhang, T Xu, H Li, S Zhang, X Wang, X Huang, D Metaxas
arXiv preprint arXiv:1710.10916, 2017
9742017
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring
D Berthelot, N Carlini, ED Cubuk, A Kurakin, K Sohn, H Zhang, C Raffel
arXiv preprint arXiv:1911.09785, 2019
6002019
SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation
Y Xue, T Xu, H Zhang, LR Long, X Huang
Neuroinformatics 16 (3-4), 383-392, 2018
4782018
SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-grained Recognition
H Zhang, T Xu, M Elhoseiny, X Huang, S Zhang, A Elgammal, D Metaxas
Computer Vision and Pattern Recognition (CVPR), 2016 IEEE Conference on …, 2016
2802016
Improving GANs using optimal transport
T Salimans, H Zhang, A Radford, D Metaxas
arXiv preprint arXiv:1803.05573, 2018
2402018
Co-Occurrent Features in Semantic Segmentation
H Zhang, H Zhang, C Wang, J Xie
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
2382019
A Simple Semi-Supervised Learning Framework for Object Detection
K Sohn, Z Zhang, CL Li, H Zhang, CY Lee, T Pfister
arXiv preprint arXiv:2005.04757, 2020
2032020
Consistency Regularization for Generative Adversarial Networks
H Zhang, Z Zhang, A Odena, H Lee
arXiv preprint arXiv:1910.12027, 2019
1762019
Multimodal Deep Learning for Cervical Dysplasia Diagnosis
T Xu, H Zhang, X Huang, S Zhang, DN Metaxas
International Conference on Medical Image Computing and Computer-Assisted …, 2016
1742016
Cross-Modal Contrastive Learning for Text-to-Image Generation
H Zhang, JY Koh, J Baldridge, H Lee, Y Yang
arXiv preprint arXiv:2101.04702, 2021
1182021
Link the head to the" beak": Zero shot learning from noisy text description at part precision
M Elhoseiny, Y Zhu, H Zhang, A Elgammal
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 6288 …, 2017
1082017
PseudoSeg: Designing Pseudo Labels for Semantic Segmentation
Y Zou, Z Zhang, H Zhang, CL Li, X Bian, JB Huang, T Pfister
arXiv preprint arXiv:2010.09713, 2020
1072020
Multi-feature based benchmark for cervical dysplasia classification evaluation
T Xu, H Zhang, C Xin, E Kim, LR Long, Z Xue, S Antani, X Huang
Pattern Recognition 63, 468-475, 2017
932017
Image Augmentations for GAN Training
Z Zhao, Z Zhang, T Chen, S Singh, H Zhang
arXiv preprint arXiv:2006.02595, 2020
882020
Distilling effective supervision from severe label noise
Z Zhang, H Zhang, SO Arik, H Lee, T Pfister
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
882020
Improved Consistency Regularization for GANs
Z Zhao, S Singh, H Lee, Z Zhang, A Odena, H Zhang
arXiv preprint arXiv:2002.04724, 2020
652020
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