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Hang Zhang 0005
Person information
- unicode name: 张航
- affiliation: Facebook Inc., Menlo Park, CA, USA
- affiliation (2018 - 2020): Amazon AI, Palo Alto, CA, USA
- affiliation (PhD 2017): Rutgers University, New Brunswick, Department of Electrical and Computer Engineering, NJ, USA
Other persons with the same name
- Hang Zhang — disambiguation page
- Hang Zhang 0001
— PLA University of Science and Technology, College of Communications Engineering, Nanjing, China
- Hang Zhang 0002
- Hang Zhang 0003 — Nanjing University, State Key Laboratory for Novel Software Technology, China
- Hang Zhang 0004
- Hang Zhang 0006
- Hang Zhang 0007
- Hang Zhang 0008
- Hang Zhang 0009
- Hang Zhang 0010
- Hang Zhang 0011 — Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China
- Hang Zhang 0012 — Georgia Institute of Technology, Atlanta, GA, USA (and 1 more)
- Hang Zhang 0013 — Baidu Research, Bellevue, WA, USA (and 1 more)
- Hang Zhang 0014 — Huawei Technologies Canada, Ottawa Research and Development Centre, Ottawa, Canada
- Hang Zhang 0015
- Hang Zhang 0016
- Hang Zhang 0017
- Hang Zhang 0018
- Hang Zhang 0019
- Hang Zhang 0020
- Hang Zhang 0021
- Hang Zhang 0022
- Hang Zhang 0023
- Hang Zhang 0024
- Hang Zhang 0025
- Hang Zhang 0026
- Hang Zhang 0027
- Hang Zhang 0028
- Hang Zhang 0029
- Hang Zhang 0030 — Xi'an Jiaotong University, School of Electrical Engineering, Xi'an, China
- Hang Zhang 0031 — University of Virginia, ECE Department, Charlottesville, VA, USA
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2020 – today
- 2024
- [j4]Yi Zhu
Improving Semantic Segmentation via Efficient Self-Training. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1589-1602 (2024) - [j3]Chaojian Li
An Investigation on Hardware-Aware Vision Transformer Scaling. ACM Trans. Embed. Comput. Syst. 23(3): 52:1-52:19 (2024) - 2023
- [c12]Feng Liang, Bichen Wu, Xiaoliang Dai, Kunpeng Li, Yinan Zhao, Hang Zhang, Peizhao Zhang, Peter Vajda, Diana Marculescu
Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP. CVPR 2023: 7061-7070 - 2022
- [j2]Jia Xue
Differential Viewpoints for Ground Terrain Material Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1205-1218 (2022) - [c11]Hang Zhang, Chongruo Wu, Zhongyue Zhang, Yi Zhu, Haibin Lin, Zhi Zhang, Yue Sun, Tong He, Jonas Mueller, R. Manmatha, Mu Li, Alexander J. Smola:
ResNeSt: Split-Attention Networks. CVPR Workshops 2022: 2735-2745 - [i18]Feng Liang, Bichen Wu, Xiaoliang Dai, Kunpeng Li, Yinan Zhao, Hang Zhang, Peizhao Zhang, Peter Vajda, Diana Marculescu:
Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP. CoRR abs/2210.04150 (2022) - 2021
- [i17]Bichen Wu, Chaojian Li, Hang Zhang, Xiaoliang Dai, Peizhao Zhang, Matthew Yu, Jialiang Wang, Yingyan Lin, Peter Vajda:
FBNetV5: Neural Architecture Search for Multiple Tasks in One Run. CoRR abs/2111.10007 (2021) - 2020
- [j1]Jian Guo, He He, Tong He, Leonard Lausen, Mu Li, Haibin Lin, Xingjian Shi, Chenguang Wang, Junyuan Xie, Sheng Zha, Aston Zhang, Hang Zhang, Zhi Zhang, Zhongyue Zhang, Shuai Zheng, Yi Zhu:
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing. J. Mach. Learn. Res. 21: 23:1-23:7 (2020) - [i16]Nick Erickson, Jonas Mueller, Alexander Shirkov, Hang Zhang, Pedro Larroy, Mu Li, Alexander J. Smola:
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data. CoRR abs/2003.06505 (2020) - [i15]Hang Zhang, Chongruo Wu, Zhongyue Zhang, Yi Zhu, Zhi Zhang, Haibin Lin, Yue Sun, Tong He, Jonas Mueller, R. Manmatha, Mu Li, Alexander J. Smola:
ResNeSt: Split-Attention Networks. CoRR abs/2004.08955 (2020) - [i14]Yi Zhu, Zhongyue Zhang, Chongruo Wu, Zhi Zhang, Tong He, Hang Zhang, R. Manmatha, Mu Li, Alexander J. Smola:
Improving Semantic Segmentation via Self-Training. CoRR abs/2004.14960 (2020) - [i13]Jia Xue, Hang Zhang, Ko Nishino, Kristin J. Dana:
Differential Viewpoints for Ground Terrain Material Recognition. CoRR abs/2009.11072 (2020)
2010 – 2019
- 2019
- [c10]Hang Zhang, Han Zhang, Chenguang Wang, Junyuan Xie:
Co-Occurrent Features in Semantic Segmentation. CVPR 2019: 548-557 - [c9]Tong He, Zhi Zhang, Hang Zhang, Zhongyue Zhang, Junyuan Xie, Mu Li:
Bag of Tricks for Image Classification with Convolutional Neural Networks. CVPR 2019: 558-567 - [c8]Parneet Kaur, Hang Zhang, Kristin J. Dana:
Photo-Realistic Facial Texture Transfer. WACV 2019: 2097-2105 - [i12]Zhi Zhang, Tong He, Hang Zhang, Zhongyue Zhang, Junyuan Xie, Mu Li:
Bag of Freebies for Training Object Detection Neural Networks. CoRR abs/1902.04103 (2019) - [i11]Haibin Lin, Hang Zhang, Yifei Ma, Tong He, Zhi Zhang, Sheng Zha, Mu Li:
Dynamic Mini-batch SGD for Elastic Distributed Training: Learning in the Limbo of Resources. CoRR abs/1904.12043 (2019) - [i10]Jian Guo, He He, Tong He, Leonard Lausen, Mu Li, Haibin Lin, Xingjian Shi, Chenguang Wang, Junyuan Xie, Sheng Zha, Aston Zhang, Hang Zhang, Zhi Zhang, Zhongyue Zhang, Shuai Zheng
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing. CoRR abs/1907.04433 (2019) - 2018
- [c7]Jia Xue, Hang Zhang, Kristin J. Dana:
Deep Texture Manifold for Ground Terrain Recognition. CVPR 2018: 558-567 - [c6]Hang Zhang, Kristin J. Dana, Jianping Shi, Zhongyue Zhang, Xiaogang Wang
Context Encoding for Semantic Segmentation. CVPR 2018: 7151-7160 - [c5]Hang Zhang, Kristin J. Dana:
Multi-style Generative Network for Real-Time Transfer. ECCV Workshops (4) 2018: 349-365 - [i9]Hang Zhang, Kristin J. Dana, Jianping Shi, Zhongyue Zhang, Xiaogang Wang, Ambrish Tyagi, Amit Agrawal:
Context Encoding for Semantic Segmentation. CoRR abs/1803.08904 (2018) - [i8]Jia Xue, Hang Zhang, Kristin J. Dana:
Deep Texture Manifold for Ground Terrain Recognition. CoRR abs/1803.10896 (2018) - [i7]Tong He, Zhi Zhang, Hang Zhang, Zhongyue Zhang, Junyuan Xie, Mu Li:
Bag of Tricks for Image Classification with Convolutional Neural Networks. CoRR abs/1812.01187 (2018) - 2017
- [c4]Hang Zhang, Jia Xue, Kristin J. Dana:
Deep TEN: Texture Encoding Network. CVPR 2017: 2896-2905 - [c3]Jia Xue, Hang Zhang, Kristin J. Dana, Ko Nishino:
Differential Angular Imaging for Material Recognition. CVPR 2017: 6940-6949 - [i6]Hang Zhang, Kristin J. Dana:
Multi-style Generative Network for Real-time Transfer. CoRR abs/1703.06953 (2017) - [i5]Parneet Kaur, Hang Zhang, Kristin J. Dana:
Photo-realistic Facial Texture Transfer. CoRR abs/1706.04306 (2017) - 2016
- [c2]Hang Zhang, Kristin J. Dana, Ko Nishino:
Friction from Reflectance: Deep Reflectance Codes for Predicting Physical Surface Properties from One-Shot In-Field Reflectance. ECCV (4) 2016: 808-824 - [i4]Hang Zhang, Kristin J. Dana, Ko Nishino:
Friction from Reflectance: Deep Reflectance Codes for Predicting Physical Surface Properties from One-Shot In-Field Reflectance. CoRR abs/1603.07998 (2016) - [i3]Jia Xue, Hang Zhang, Kristin J. Dana, Ko Nishino:
Differential Angular Imaging for Material Recognition. CoRR abs/1612.02372 (2016) - [i2]Hang Zhang, Jia Xue, Kristin J. Dana:
Deep TEN: Texture Encoding Network. CoRR abs/1612.02844 (2016) - 2015
- [c1]Hang Zhang, Kristin J. Dana, Ko Nishino:
Reflectance hashing for material recognition. CVPR 2015: 3071-3080 - [i1]Hang Zhang, Kristin J. Dana, Ko Nishino:
Reflectance Hashing for Material Recognition. CoRR abs/1502.02092 (2015)
Coauthor Index
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