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ORCIDHan Zhang 0010
Person information
- affiliation: Google Brain, Mountain View, CA, USA
- affiliation (PhD 2018): Rutgers University, Department of Computer Science, Piscataway, NJ, USA
- affiliation (2009 - 2012): Beijing University of Posts and Telecommunications, Multimedia Communication and Pattern Recognition Lab, Beijing, China
Other persons with the same name
- Han Zhang — disambiguation page
- Han Zhang 0001
![[0000-0002-6258-2486]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6258-2486")
— Georgia Institute of Technology, College of Management, Atlanta, GA, USA (and 1 more) - Han Zhang 0002 — ShanghaiTech University, School of Biomedical Engineering, Shanghai, China (and 1 more)
- Han Zhang 0003 — National Cancer Institute, Bethesda, MD, USA
- Han Zhang 0004 — Northwest University, Xi'an, China
- Han Zhang 0005 — Northwest Institute of Nuclear Technology, Xi'an, China
- Han Zhang 0006 — University of California at Davis, Department of Electrical and Computer Engineering, CA, USA
- Han Zhang 0007 — Nanjing University of Aeronautics and Astronautics, Department of Vehicle Engineering, China
- Han Zhang 0008 — Central South University, School of Information Science and Engineering, Changsha, China
- Han Zhang 0009 — Beihang University, School of Cyber Science and Technology, Beijing, China (and 1 more)
- Han Zhang 0011 — South China Normal University, Department of Physics and Telecommunication Engineering, Guangzhou, China (and 1 more)
- Han Zhang 0012 — Northwestern Polytechnical University, OPTIMAL, Xi'an, China
- Han Zhang 0013 — State Grid Shanghai Shinan Electric Power Supply Company, Operation and Maintenance Department, China
- Han Zhang 0014 — Texas A&M University, College Station, TX, USA (and 1 more)
- Han Zhang 0015 — Information Engineering University, Zhengzhou, China
- Han Zhang 0016 — Second Institute of Oceanography, Hangzhou, China (and 1 more)
- Han Zhang 0017 — Nankai University, College of Artificial Intelligence, Tianjin, China (and 1 more)
- Han Zhang 0018 — University of Southern California, Department of Computer Science, Los Angeles, CA, USA
- Han Zhang 0019 — Air Force Engineering University, College of Equipment Management and UAV Engineering, Xi'an, China
- Han Zhang 0020 — Hefei University of Technology, School of Management, Hefei, China (and 1 more)
- Han Zhang 0021 — Wuzhou University, College of Management, Wuzhou, China
- Han Zhang 0022 — Michigan State University, East Lansing, MI, USA
- Han Zhang 0023 — Chinese Academy of Sciences, Institutes of Science and Development, Beijing, China
- Han Zhang 0024 — Lanzhou University of Technology, School of Computer and Communication, Lanzhou, China
- Han Zhang 0025 — Harbin Institute of Technology (Shenzhen), School of Computer Science and Technology, Peng Cheng Laboratory, Shenzhen, China
- Han Zhang 0026 — Chongqing University, State Key Laboratory of Power Transmission Equipment and System Security and New Technology, Chongqing, China
- Han Zhang 0027 — University of Nottingham, Ningbo, China
- Han Zhang 0028 — Lehigh University, Departments of Biological Sciences, Chemistry, Bioengineering, and Computer Science and Engineering, Bethlehem, PA, USA (and 1 more)
- Han Zhang 0029 — Durham University, Institute for Computational Cosmology, Durham, UK
- Han Zhang 0030 — Shanghai Jiao Tong University, Department of Electronic Engineering, Institute of Image Communication and Network Engineering, Shanghai, China
- Han Zhang 0031 — Tsinghua University, Institute of Nuclear and New Energy Technology, Beijing, China (and 1 more)
- Han Zhang 0032 — National University of Singapore, Department of Biomedical Engineering, Singapore (and 2 more)
- Han Zhang 0033 — East China Normal University, School of Geographic Sciences, Key Lab of Geographic Information Science, Shanghai, China
- Han Zhang 0034 — Shenzhen University, College of Physics and Optoelectronic Engineering, Institute of Microscale Optoelectronics, Shenzhen, China (and 1 more)
- Han Zhang 0035 — Tianjin University, School of Electrical and Information Engineering, Tianjin, China
- Han Zhang 0036 — Chang'an University, School of Construction Machinery, Department of Mechanical and Electronic Engineering, Xi'an, China (and 1 more)
- Han Zhang 0037 — Carnegie Mellon University, Computer Science Department, Pittsburgh, PA, USA (and 1 more)
- Han Zhang 0038 — Chinese Academy of Sciences, Key Laboratory of Noise and Vibration, Institute of Acoustics, Beijing, China
- Han Zhang 0039 — Shandong Hi-Speed Construction Management Company Ltd., Jinan, China
- Han Zhang 0040 — Xinjiang University, School of Software, Ürümqi, China
- Han Zhang 0041 — Fudan University, Institute of Science and Technology for Brain-Inspired Intelligence, Shanghai, China
- Han Zhang 0042 — Nanjing University of Aeronautics and Astronautics, College of Automation Engineering, Nanjing, China
- Han Zhang 0043 — Southern University of Science and Technology, Department of Computer Science and Engineering, Guangdong Provincial Key Laboratory of Brain-Inspired Intelligent Computation, Shenzhen, China
- Han Zhang 0044 — Peking University, College of Engineering, State Key Laboratory for Turbulence and Complex Systems, Beijing, China
- Han Zhang 0045 — Purdue University, Department of Aeronautics and Astronautics, West Lafayette, IN, USA
- Han Zhang 0046 — Hong Kong University of Science and Technology, Division of Social Science, Hong Kong (and 1 more)
- Han Zhang 0047 — JD.com, Beijing, China
- Han Zhang 0048 — Carnegie Mellon University, Biometrics Center, Cylab, Pittsburgh, PA, USA
- Han Zhang 0049 — Hong Kong University of Science and Technology, Department of Computer Science and Engineering, Hong Kong
- Han Zhang 0050 — Colorado State University, Department of Computer Science, Fort Collins, CO, USA
- Han Zhang 0051 — Yanshan University, College of Electrical Engineering, Qinhuangdao, China
- Han Zhang 0052 — Wuhan University, School of Remote Sensing and Information Engineering, Wuhan, China
- Han Zhang 0053 — East China University of Science and Technology, School of Information Science and Engineering, Shanghai, China
- Han Zhang 0054 — University of Pittsburgh, PA, USA (and 1 more)
- Han Zhang 0055 — University of Ottawa, School of Electrical Engineering and Computer Science, Ottawa, Canada
- Han Zhang 0056 — Shanghai Jiaotong University, Department of Automation, Shanghai, China (and 2 more)
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2020 – today
- 2024
[c41]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: 2511-2521- 2023
- [c40]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: 2142-2152 - [c39]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: 10459-10469 - [c38]Kihyuk Sohn, Huiwen Chang, José Lezama, Luisa Polania, Han Zhang, Yuan Hao, Irfan Essa, Lu Jiang:
Visual Prompt Tuning for Generative Transfer Learning. CVPR 2023: 19840-19851 - [c37]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: 4217-4227 - [c36]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 - [c35]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: 4055-4075 - [c34]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 - [i44]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 abs/2301.00704 (2023) - [i43]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. CoRR abs/2302.06833 (2023) - [i42]Shengju Qian, Huiwen Chang, Yuanzhen Li, Zizhao Zhang, Jiaya Jia, Han Zhang:
StraIT: Non-autoregressive Generation with Stratified Image Transformer. CoRR abs/2303.00750 (2023) - [i41]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 abs/2303.09447 (2023) - [i40]Ligong Han, Yinxiao Li, Han Zhang, Peyman Milanfar, Dimitris N. Metaxas, Feng Yang:
SVDiff: Compact Parameter Space for Diffusion Fine-Tuning. CoRR abs/2303.11305 (2023) - [i39]Kihyuk Sohn, Albert E. Shaw, Yuan Hao, Han Zhang, Luisa Polania, Huiwen Chang, Lu Jiang, Irfan Essa:
Learning Disentangled Prompts for Compositional Image Synthesis. CoRR abs/2306.00763 (2023) - [i38]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 abs/2308.11606 (2023) - [i37]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 abs/2310.03734 (2023) - 2022
- [j5]Yuan Xue, Yuan-Chen 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): 3-31 (2022) - [j4]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) - [c33]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: 3417-3425 - [c32]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: 139-149 - [c31]Zhengzhong Tu, Hossein Talebi, Han Zhang, Feng Yang, Peyman Milanfar, Alan C. Bovik, Yinxiao Li:
MAXIM: Multi-Axis MLP for Image Processing. CVPR 2022: 5759-5770 - [c30]Huiwen Chang, Han Zhang, Lu Jiang, Ce Liu, William T. Freeman:
MaskGIT: Masked Generative Image Transformer. CVPR 2022: 11305-11315 - [c29]Zhengzhong Tu, Hossein Talebi, Han Zhang, Feng Yang, Peyman Milanfar, Alan C. Bovik, Yinxiao Li:
MaxViT: Multi-axis Vision Transformer. ECCV (24) 2022: 459-479 - [c28]Yuliang Zou, Zizhao Zhang, Chun-Liang Li, Han Zhang, Tomas Pfister, Jia-Bin Huang:
Learning Instance-Specific Adaptation for Cross-Domain Segmentation. ECCV (33) 2022: 459-476 - [c27]Xiang Kong, Lu Jiang, Huiwen Chang, Han Zhang, Yuan Hao, Haifeng Gong, Irfan Essa:
BLT: Bidirectional Layout Transformer for Controllable Layout Generation. ECCV (17) 2022: 474-490 - [c26]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. ECCV (26) 2022: 631-648 - [c25]Kwonjoon Lee, Huiwen Chang, Lu Jiang, Han Zhang, Zhuowen Tu, Ce Liu:
ViTGAN: Training GANs with Vision Transformers. ICLR 2022 - [c24]Jiahui Yu, Xin Li, Jing Yu Koh, Han Zhang, Ruoming Pang, James Qin, Alexander Ku, Yuanzhong Xu, Jason Baldridge, Yonghui Wu:
Vector-quantized Image Modeling with Improved VQGAN. ICLR 2022 - [i36]Zhengzhong Tu, Hossein Talebi, Han Zhang, Feng Yang, Peyman Milanfar, Alan C. Bovik, Yinxiao Li:
MAXIM: Multi-Axis MLP for Image Processing. CoRR abs/2201.02973 (2022) - [i35]Huiwen Chang, Han Zhang, Lu Jiang, Ce Liu, William T. Freeman:
MaskGIT: Masked Generative Image Transformer. CoRR abs/2202.04200 (2022) - [i34]Yuliang Zou, Zizhao Zhang, Chun-Liang Li, Han Zhang, Tomas Pfister, Jia-Bin Huang:
Learning Instance-Specific Adaptation for Cross-Domain Segmentation. CoRR abs/2203.16530 (2022) - [i33]Zhengzhong Tu, Hossein Talebi, Han Zhang, Feng Yang, Peyman Milanfar, Alan C. Bovik, Yinxiao Li:
MaxViT: Multi-Axis Vision Transformer. CoRR abs/2204.01697 (2022) - [i32]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 abs/2204.04799 (2022) - [i31]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. CoRR abs/2206.10789 (2022) - [i30]Kihyuk Sohn, Yuan Hao, José Lezama, Luisa Polania, Huiwen Chang, Han Zhang, Irfan Essa, Lu Jiang:
Visual Prompt Tuning for Generative Transfer Learning. CoRR abs/2210.00990 (2022) - [i29]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 Description. CoRR abs/2210.02399 (2022) - [i28]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 abs/2211.09117 (2022) - [i27]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 abs/2212.05199 (2022) - 2021
- [c23]Zhengli Zhao, Sameer Singh, Honglak Lee, Zizhao Zhang, Augustus Odena, Han Zhang:
Improved Consistency Regularization for GANs. AAAI 2021: 11033-11041 - [c22]Han Zhang, Jing Yu Koh, Jason Baldridge, Honglak Lee, Yinfei Yang:
Cross-Modal Contrastive Learning for Text-to-Image Generation. CVPR 2021: 833-842 - [c21]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 - [c20]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 - [c19]Long Zhao, Zizhao Zhang, Ting Chen, Dimitris N. Metaxas, Han Zhang:
Improved Transformer for High-Resolution GANs. NeurIPS 2021: 18367-18380 - [i26]Han Zhang, Jing Yu Koh, Jason Baldridge, Honglak Lee, Yinfei Yang:
Cross-Modal Contrastive Learning for Text-to-Image Generation. CoRR abs/2101.04702 (2021) - [i25]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 abs/2104.06697 (2021) - [i24]Zizhao Zhang, Han Zhang, Long Zhao, Ting Chen, Tomas Pfister:
Aggregating Nested Transformers. CoRR abs/2105.12723 (2021) - [i23]Long Zhao, Zizhao Zhang, Ting Chen, Dimitris N. Metaxas, Han Zhang:
Improved Transformer for High-Resolution GANs. CoRR abs/2106.07631 (2021) - [i22]Yuan Xue, Yuan-Chen Guo, Han Zhang, Tao Xu, Song-Hai Zhang, Xiaolei Huang:
Deep Image Synthesis from Intuitive User Input: A Review and Perspectives. CoRR abs/2107.04240 (2021) - [i21]Kwonjoon Lee, Huiwen Chang, Lu Jiang, Han Zhang, Zhuowen Tu, Ce Liu:
ViTGAN: Training GANs with Vision Transformers. CoRR abs/2107.04589 (2021) - [i20]Jiahui Yu, Xin Li, Jing Yu Koh, Han Zhang, Ruoming Pang, James Qin, Alexander Ku, Yuanzhong Xu, Jason Baldridge, Yonghui Wu:
Vector-quantized Image Modeling with Improved VQGAN. CoRR abs/2110.04627 (2021) - [i19]Xiang Kong, Lu Jiang, Huiwen Chang, Han Zhang, Yuan Hao, Haifeng Gong, Irfan Essa:
BLT: Bidirectional Layout Transformer for Controllable Layout Generation. CoRR abs/2112.05112 (2021) - [i18]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. CoRR abs/2112.08654 (2021) - 2020
- [c18]Zizhao Zhang, Han Zhang, Sercan Ömer Arik, Honglak Lee, Tomas Pfister:
Distilling Effective Supervision From Severe Label Noise. CVPR 2020: 9291-9300 - [c17]Giannis Daras, Augustus Odena, Han Zhang, Alexandros G. Dimakis:
Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models. CVPR 2020: 14519-14527 - [c16]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 - [c15]Han Zhang, Zizhao Zhang, Augustus Odena, Honglak Lee:
Consistency Regularization for Generative Adversarial Networks. ICLR 2020 - [c14]Samarth Sinha, Han Zhang, Anirudh Goyal, Yoshua Bengio, Hugo Larochelle, Augustus Odena:
Small-GAN: Speeding up GAN Training using Core-Sets. ICML 2020: 9005-9015 - [c13]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 - [i17]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 abs/2001.07685 (2020) - [i16]Zhengli Zhao, Sameer Singh, Honglak Lee, Zizhao Zhang, Augustus Odena, Han Zhang:
Improved Consistency Regularization for GANs. CoRR abs/2002.04724 (2020) - [i15]Kihyuk Sohn, Zizhao Zhang, Chun-Liang Li, Han Zhang, Chen-Yu Lee, Tomas Pfister:
A Simple Semi-Supervised Learning Framework for Object Detection. CoRR abs/2005.04757 (2020) - [i14]Zhengli Zhao, Zizhao Zhang, Ting Chen, Sameer Singh, Han Zhang:
Image Augmentations for GAN Training. CoRR abs/2006.02595 (2020) - [i13]Yuliang Zou, Zizhao Zhang, Han Zhang, Chun-Liang Li, Xiao Bian, Jia-Bin Huang, Tomas Pfister:
PseudoSeg: Designing Pseudo Labels for Semantic Segmentation. CoRR abs/2010.09713 (2020)
2010 – 2019
- 2019
- [j3]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): 1947-1962 (2019) - [c12]Hang Zhang, Han Zhang, Chenguang Wang, Junyuan Xie:
Co-Occurrent Features in Semantic Segmentation. CVPR 2019: 548-557 - [c11]Han Zhang, Ian J. Goodfellow, Dimitris N. Metaxas, Augustus Odena:
Self-Attention Generative Adversarial Networks. ICML 2019: 7354-7363 - [i12]Zizhao Zhang, Han Zhang, Sercan Ömer Arik, Honglak Lee, Tomas Pfister:
IEG: Robust Neural Network Training to Tackle Severe Label Noise. CoRR abs/1910.00701 (2019) - [i11]Han Zhang, Zizhao Zhang, Augustus Odena, Honglak Lee:
Consistency Regularization for Generative Adversarial Networks. CoRR abs/1910.12027 (2019) - [i10]Samarth Sinha, Han Zhang, Anirudh Goyal, Yoshua Bengio, Hugo Larochelle, Augustus Odena:
Small-GAN: Speeding Up GAN Training Using Core-sets. CoRR abs/1910.13540 (2019) - [i9]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 abs/1911.09785 (2019) - [i8]Giannis Daras, Augustus Odena, Han Zhang, Alexandros G. Dimakis:
Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models. CoRR abs/1911.12287 (2019) - 2018
- [j2]Yuan Xue, Tao Xu, Han Zhang, L. Rodney Long, Xiaolei Huang:
SegAN: Adversarial Network with Multi-scale L 1 Loss for Medical Image Segmentation. Neuroinformatics 16(3-4): 383-392 (2018) - [c10]Tao Xu, Pengchuan Zhang, Qiuyuan Huang, Han Zhang, Zhe Gan, Xiaolei Huang, Xiaodong He:
AttnGAN: Fine-Grained Text to Image Generation With Attentional Generative Adversarial Networks. CVPR 2018: 1316-1324 - [c9]Tim Salimans, Han Zhang, Alec Radford, Dimitris N. Metaxas:
Improving GANs Using Optimal Transport. ICLR (Poster) 2018 - [i7]Tim Salimans, Han Zhang, Alec Radford, Dimitris N. Metaxas:
Improving GANs Using Optimal Transport. CoRR abs/1803.05573 (2018) - [i6]Han Zhang, Ian J. Goodfellow, Dimitris N. Metaxas, Augustus Odena:
Self-Attention Generative Adversarial Networks. CoRR abs/1805.08318 (2018) - 2017
- [j1]Tao Xu, Han Zhang, Cheng Xin, Edward Kim, L. Rodney Long, Zhiyun Xue, Sameer K. Antani, Xiaolei Huang:
Multi-feature based benchmark for cervical dysplasia classification evaluation. Pattern Recognit. 63: 468-475 (2017) - [c8]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: 6288-6297 - [c7]Han Zhang, Tao Xu, Hongsheng Li:
StackGAN: Text to Photo-Realistic Image Synthesis with Stacked Generative Adversarial Networks. ICCV 2017: 5908-5916 - [i5]Yuan Xue, Tao Xu, Han Zhang, L. Rodney Long, Xiaolei Huang:
SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation. CoRR abs/1706.01805 (2017) - [i4]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 abs/1709.01148 (2017) - [i3]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 abs/1710.10916 (2017) - [i2]Tao Xu, Pengchuan Zhang, Qiuyuan Huang, Han Zhang, Zhe Gan, Xiaolei Huang, Xiaodong He:
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks. CoRR abs/1711.10485 (2017) - 2016
- [c6]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: 1143-1152 - [c5]Tao Xu, Han Zhang, Xiaolei Huang, Shaoting Zhang, Dimitris N. Metaxas:
Multimodal Deep Learning for Cervical Dysplasia Diagnosis. MICCAI (2) 2016: 115-123 - [i1]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 abs/1612.03242 (2016) - 2014
- [c4]Han Zhang, Shaoting Zhang, Kang Li, Dimitris N. Metaxas:
Robust shape prior modeling based on Gaussian-Bernoulli restricted Boltzmann Machine. ISBI 2014: 270-273 - 2013
- [c3]Jun Hu, Han Zhang, Anastasia Miliou, Thodoris Tsimpidis, Hazel Thornton, Vladimir Pavlovic:
Categorization of Underwater Habitats Using Dynamic Video Textures. ICCV Workshops 2013: 838-843 - 2012
- [c2]Jin Yuan, Huan-Bo Luan, Dejun Hou, Han Zhang, Yan-Tao Zheng, Zheng-Jun Zha, Tat-Seng Chua:
Video Browser Showdown by NUS. MMM 2012: 642-645 - 2011
- [c1]Zhicheng Zhao, Yanyun Zhao, Xin Guo, Yuanbo Chen, Yan Hua, Wen Wang, Cheng Liu, Siyuan Wu, Han Zhang, Lingxi Wang, Yuanhui Mao, Anni Cai, Menghua Zhai:
BUPT-MCPRL at TRECVID 2011. TRECVID 2011
Coauthor Index
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to record detail pages.
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
.
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last updated on 2024-07-17 23:17 CEST by the dblp team
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