Han Zhang

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 62

Top Topics

Boltzmann Machine

Diffusion Models

Image Synthesis

Top Venues

Publications

Zhantao Yang, Ruili Feng, Keyu Yan, Huangji Wang, Zhicai Wang, Shangwen Zhu, Han Zhang, Jie Xiao, Pingyu Wu, Kai Zhu, Jixuan Chen, Chen-Wei Xie, Chaojie Mao, Yue Yang, Hongyang Zhang, Yu Liu, Fan Cheng
BACON: Supercharge Your VLM with Bag-of-Concept Graph to Mitigate Hallucinations. CoRR (2024)
Zhuowei Li, Long Zhao, Zizhao Zhang, Han Zhang, Di Liu, Ting Liu, Dimitris N. Metaxas
Steering Prototypes with Prompt-tuning for Rehearsal-free Continual Learning. WACV (2024)
Tianhong Li, Sangnie Bhardwaj, Yonglong Tian, Han Zhang, Jarred Barber, Dina Katabi, Guillaume Lajoie, Huiwen Chang, Dilip Krishnan
Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency. ICLR (2024)
Jie Xiao, Ruili Feng, Han Zhang, Zhiheng Liu, Zhantao Yang, Yurui Zhu, Xueyang Fu, Kai Zhu, Yu Liu, Zheng-Jun Zha
DreamClean: Restoring Clean Image Using Deep Diffusion Prior. ICLR (2024)
Zhantao Yang, Ruili Feng, Han Zhang, Yujun Shen, Kai Zhu, Lianghua Huang, Yifei Zhang, Yu Liu, Deli Zhao, Jingren Zhou, Fan Cheng
Lipschitz Singularities in Diffusion Models. ICLR (2024)
Tianhong Li, Sangnie Bhardwaj, Yonglong Tian, Han Zhang, Jarred Barber, Dina Katabi, Guillaume Lajoie, Huiwen Chang, Dilip Krishnan
Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency. CoRR (2023)
Lijun Yu, Yong Cheng, Kihyuk Sohn, José Lezama, Han Zhang, Huiwen Chang, Alexander G. Hauptmann, Ming-Hsuan Yang, Yuan Hao, Irfan Essa, Lu Jiang
MAGVIT: Masked Generative Video Transformer. CVPR (2023)
Huiwen Chang, Han Zhang, Jarred Barber, Aaron Maschinot, José Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Patrick Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan
Muse: Text-To-Image Generation via Masked Generative Transformers. ICML (2023)
Kihyuk Sohn, Albert Shaw, Yuan Hao, Han Zhang, Luisa Polania, Huiwen Chang, Lu Jiang, Irfan Essa
Learning Disentangled Prompts for Compositional Image Synthesis. CoRR (2023)
Tianhong Li, Huiwen Chang, Shlok Kumar Mishra, Han Zhang, Dina Katabi, Dilip Krishnan
MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis. CVPR (2023)
Kyle Sargent, Jing Yu Koh, Han Zhang, Huiwen Chang, Charles Herrmann, Pratul Srinivasan, Jiajun Wu, Deqing Sun
VQ3D: Learning a 3D-Aware Generative Model on ImageNet. ICCV (2023)
Emanuele Bugliarello, H. Hernan Moraldo, Ruben Villegas, Mohammad Babaeizadeh, Mohammad Taghi Saffar, Han Zhang, Dumitru Erhan, Vittorio Ferrari, Pieter-Jan Kindermans, Paul Voigtlaender
StoryBench: A Multifaceted Benchmark for Continuous Story Visualization. NeurIPS (2023)
Shengju Qian, Huiwen Chang, Yuanzhen Li, Zizhao Zhang, Jiaya Jia, Han Zhang
StraIT: Non-autoregressive Generation with Stratified Image Transformer. CoRR (2023)
Ruben Villegas, Mohammad Babaeizadeh, Pieter-Jan Kindermans, Hernan Moraldo, Han Zhang, Mohammad Taghi Saffar, Santiago Castro, Julius Kunze, Dumitru Erhan
Phenaki: Variable Length Video Generation from Open Domain Textual Descriptions. ICLR (2023)
Zhuowei Li, Long Zhao, Zizhao Zhang, Han Zhang, Di Liu, Ting Liu, Dimitris N. Metaxas
Steering Prototype with Prompt-tuning for Rehearsal-free Continual Learning. CoRR (2023)
Huiwen Chang, Han Zhang, Jarred Barber, Aaron Maschinot, José Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan
Muse: Text-To-Image Generation via Masked Generative Transformers. CoRR (2023)
Emanuele Bugliarello, Hernan Moraldo, Ruben Villegas, Mohammad Babaeizadeh, Mohammad Taghi Saffar, Han Zhang, Dumitru Erhan, Vittorio Ferrari, Pieter-Jan Kindermans, Paul Voigtlaender
StoryBench: A Multifaceted Benchmark for Continuous Story Visualization. CoRR (2023)
Yuan Xue, Yuanchen Guo, Han Zhang, Tao Xu, Song-Hai Zhang, Xiaolei Huang
Deep image synthesis from intuitive user input: A review and perspectives. Comput. Vis. Media 8 (1) (2022)
Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister
DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning. CoRR (2022)
Jiahui Yu, Yuanzhong Xu, Jing Yu Koh, Thang Luong, Gunjan Baid, Zirui Wang, Vijay Vasudevan, Alexander Ku, Yinfei Yang, Burcu Karagol Ayan, Ben Hutchinson, Wei Han, Zarana Parekh, Xin Li, Han Zhang, Jason Baldridge, Yonghui Wu
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation. Trans. Mach. Learn. Res. 2022 (2022)
Tianhong Li, Huiwen Chang, Shlok Kumar Mishra, Han Zhang, Dina Katabi, Dilip Krishnan
MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis. CoRR (2022)
Lijun Yu, Yong Cheng, Kihyuk Sohn, José Lezama, Han Zhang, Huiwen Chang, Alexander G. Hauptmann, Ming-Hsuan Yang, Yuan Hao, Irfan Essa, Lu Jiang
MAGVIT: Masked Generative Video Transformer. CoRR (2022)
Zizhao Zhang, Han Zhang, Long Zhao, Ting Chen, Sercan Ö. Arik, Tomas Pfister
Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding. AAAI (2022)
Zhengzhong Tu, Hossein Talebi, Han Zhang, Feng Yang, Peyman Milanfar, Alan C. Bovik, Yinxiao Li
MaxViT: Multi-axis Vision Transformer. ECCV (24) (2022)
Yuliang Zou, Zizhao Zhang, Chun-Liang Li, Han Zhang, Tomas Pfister, Jia-Bin Huang
Learning Instance-Specific Adaptation for Cross-Domain Segmentation. CoRR (2022)
Zifeng Wang, Zizhao Zhang, Chen-Yu Lee, Han Zhang, Ruoxi Sun, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister
Learning to Prompt for Continual Learning. CVPR (2022)
Han Zhang, Jing Yu Koh, Jason Baldridge, Honglak Lee, Yinfei Yang
Cross-Modal Contrastive Learning for Text-to-Image Generation. CVPR (2021)
Wonkwang Lee, Whie Jung, Han Zhang, Ting Chen, Jing Yu Koh, Thomas E. Huang, Hyungsuk Yoon, Honglak Lee, Seunghoon Hong
Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction. CoRR (2021)
Yuliang Zou, Zizhao Zhang, Han Zhang, Chun-Liang Li, Xiao Bian, Jia-Bin Huang, Tomas Pfister
PseudoSeg: Designing Pseudo Labels for Semantic Segmentation. ICLR (2021)
Han Zhang, Jing Yu Koh, Jason Baldridge, Honglak Lee, Yinfei Yang
Cross-Modal Contrastive Learning for Text-to-Image Generation. CoRR (2021)
Long Zhao, Zizhao Zhang, Ting Chen, Dimitris N. Metaxas, Han Zhang
Improved Transformer for High-Resolution GANs. NeurIPS (2021)
Zhengli Zhao, Sameer Singh, Honglak Lee, Zizhao Zhang, Augustus Odena, Han Zhang
Improved Consistency Regularization for GANs. AAAI (2021)
Wonkwang Lee, Whie Jung, Han Zhang, Ting Chen, Jing Yu Koh, Thomas E. Huang, Hyungsuk Yoon, Honglak Lee, Seunghoon Hong
Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction. ICLR (2021)
Long Zhao, Zizhao Zhang, Ting Chen, Dimitris N. Metaxas, Han Zhang
Improved Transformer for High-Resolution GANs. CoRR (2021)
Zizhao Zhang, Han Zhang, Long Zhao, Ting Chen, Tomas Pfister
Aggregating Nested Transformers. CoRR (2021)
Yuan Xue, Yuanchen Guo, Han Zhang, Tao Xu, Song-Hai Zhang, Xiaolei Huang
Deep Image Synthesis from Intuitive User Input: A Review and Perspectives. CoRR (2021)
Zhengli Zhao, Sameer Singh, Honglak Lee, Zizhao Zhang, Augustus Odena, Han Zhang
Improved Consistency Regularization for GANs. CoRR (2020)
Giannis Daras, Augustus Odena, Han Zhang, Alexandros G. Dimakis
Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models. CVPR (2020)
Zizhao Zhang, Han Zhang, Sercan Ömer Arik, Honglak Lee, Tomas Pfister
Distilling Effective Supervision From Severe Label Noise. CVPR (2020)
Kihyuk Sohn, Zizhao Zhang, Chun-Liang Li, Han Zhang, Chen-Yu Lee, Tomas Pfister
A Simple Semi-Supervised Learning Framework for Object Detection. CoRR (2020)
Kihyuk Sohn, David Berthelot, Chun-Liang Li, Zizhao Zhang, Nicholas Carlini, Ekin D. Cubuk, Alex Kurakin, Han Zhang, Colin Raffel
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence. CoRR (2020)
David Berthelot, Nicholas Carlini, Ekin D. Cubuk, Alex Kurakin, Kihyuk Sohn, Han Zhang, Colin Raffel
ReMixMatch: Semi-Supervised Learning with Distribution Matching and Augmentation Anchoring. ICLR (2020)
Han Zhang, Zizhao Zhang, Augustus Odena, Honglak Lee
Consistency Regularization for Generative Adversarial Networks. ICLR (2020)
Yuliang Zou, Zizhao Zhang, Han Zhang, Chun-Liang Li, Xiao Bian, Jia-Bin Huang, Tomas Pfister
PseudoSeg: Designing Pseudo Labels for Semantic Segmentation. CoRR (2020)
Zhengli Zhao, Zizhao Zhang, Ting Chen, Sameer Singh, Han Zhang
Image Augmentations for GAN Training. CoRR (2020)
Kihyuk Sohn, David Berthelot, Nicholas Carlini, Zizhao Zhang, Han Zhang, Colin Raffel, Ekin Dogus Cubuk, Alexey Kurakin, Chun-Liang Li
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence. NeurIPS (2020)
Samarth Sinha, Han Zhang, Anirudh Goyal, Yoshua Bengio, Hugo Larochelle, Augustus Odena
Small-GAN: Speeding Up GAN Training Using Core-sets. CoRR (2019)
Zizhao Zhang, Han Zhang, Sercan Ömer Arik, Honglak Lee, Tomas Pfister
IEG: Robust Neural Network Training to Tackle Severe Label Noise. CoRR (2019)
David Berthelot, Nicholas Carlini, Ekin D. Cubuk, Alex Kurakin, Kihyuk Sohn, Han Zhang, Colin Raffel
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring. CoRR (2019)
Giannis Daras, Augustus Odena, Han Zhang, Alexandros G. Dimakis
Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models. CoRR (2019)
Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaogang Wang, Xiaolei Huang, Dimitris N. Metaxas
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks. IEEE Trans. Pattern Anal. Mach. Intell. 41 (8) (2019)
Han Zhang, Ian J. Goodfellow, Dimitris N. Metaxas, Augustus Odena
Self-Attention Generative Adversarial Networks. ICML (2019)
Han Zhang, Zizhao Zhang, Augustus Odena, Honglak Lee
Consistency Regularization for Generative Adversarial Networks. CoRR (2019)
Tim Salimans, Han Zhang, Alec Radford, Dimitris N. Metaxas
Improving GANs Using Optimal Transport. ICLR (Poster) (2018)
Tim Salimans, Han Zhang, Alec Radford, Dimitris N. Metaxas
Improving GANs Using Optimal Transport. CoRR (2018)
Han Zhang, Ian J. Goodfellow, Dimitris N. Metaxas, Augustus Odena
Self-Attention Generative Adversarial Networks. CoRR (2018)
Mohamed Elhoseiny, Yizhe Zhu, Han Zhang, Ahmed M. Elgammal
Link the Head to the "Beak": Zero Shot Learning from Noisy Text Description at Part Precision. CVPR (2017)
Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaogang Wang, Xiaolei Huang, Dimitris N. Metaxas
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks. CoRR (2017)
Mohamed Elhoseiny, Yizhe Zhu, Han Zhang, Ahmed M. Elgammal
Link the head to the "beak": Zero Shot Learning from Noisy Text Description at Part Precision. CoRR (2017)
Tao Xu, Han Zhang, Xiaolei Huang, Shaoting Zhang, Dimitris N. Metaxas
Multimodal Deep Learning for Cervical Dysplasia Diagnosis. MICCAI (2) (2016)
Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaolei Huang, Xiaogang Wang, Dimitris N. Metaxas
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks. CoRR (2016)
Han Zhang, Tao Xu, Mohamed Elhoseiny, Xiaolei Huang, Shaoting Zhang, Ahmed M. Elgammal, Dimitris N. Metaxas
SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-Grained Recognition. CVPR (2016)
Han Zhang, Shaoting Zhang, Kang Li, Dimitris N. Metaxas
Robust shape prior modeling based on Gaussian-Bernoulli restricted Boltzmann Machine. ISBI (2014)