Han Zhang
Han Zhang
Research Scientist, Google Deepmind
Dirección de correo verificada de - Página principal
Citado por
Citado por
Self-attention generative adversarial networks
H Zhang, I Goodfellow, D Metaxas, A Odena
International conference on machine learning, 7354-7363, 2019
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
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
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
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
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
Scaling autoregressive models for content-rich text-to-image generation
J Yu, Y Xu, JY Koh, T Luong, G Baid, Z Wang, V Vasudevan, A Ku, Y Yang, ...
arXiv preprint arXiv:2206.10789, 2022
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
Learning to Prompt for Continual Learning
Z Wang, Z Zhang, CY Lee, H Zhang, R Sun, X Ren, G Su, V Perot, J Dy, ...
arXiv preprint arXiv:2112.08654, 2021
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
Maxvit: Multi-axis vision transformer
Z Tu, H Talebi, H Zhang, F Yang, P Milanfar, A Bovik, Y Li
arXiv preprint arXiv:2204.01697, 2022
MAXIM: Multi-Axis MLP for Image Processing
Z Tu, H Talebi, H Zhang, F Yang, P Milanfar, A Bovik, Y Li
arXiv preprint arXiv:2201.02973, 2022
MaskGIT: Masked Generative Image Transformer
H Chang, H Zhang, L Jiang, C Liu, WT Freeman
arXiv preprint arXiv:2202.04200, 2022
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
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
Improving GANs using optimal transport
T Salimans, H Zhang, A Radford, D Metaxas
arXiv preprint arXiv:1803.05573, 2018
Muse: Text-To-Image Generation via Masked Generative Transformers
H Chang, H Zhang, J Barber, AJ Maschinot, J Lezama, L Jiang, MH Yang, ...
arXiv preprint arXiv:2301.00704, 2023
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
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
DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning
Z Wang, Z Zhang, S Ebrahimi, R Sun, H Zhang, CY Lee, X Ren, G Su, ...
arXiv preprint arXiv:2204.04799, 2022
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