Hang Zhang

According to our database, Hang Zhang authored at least 22 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An Investigation on Hardware-Aware Vision Transformer Scaling.

Chaojian Li, Kyungmin Kim, Bichen Wu, Peizhao Zhang, Hang Zhang, Xiaoliang Dai, Peter Vajda, Yingyan (Celine) Lin

ACM Trans. Embed. Comput. Syst., May, 2024

Improving Semantic Segmentation via Efficient Self-Training.

Yi Zhu, Zhongyue Zhang, Chongruo Wu, Zhi Zhang, Tong He, Hang Zhang, R. Manmatha, Mu Li, Alexander J. Smola

IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

2023

Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP.

Feng Liang, Bichen Wu, Xiaoliang Dai, Kunpeng Li, Yinan Zhao, Hang Zhang, Peizhao Zhang, Peter Vajda, Diana Marculescu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Differential Viewpoints for Ground Terrain Material Recognition.

Jia Xue, Hang Zhang, Ko Nishino, Kristin J. Dana

IEEE Trans. Pattern Anal. Mach. Intell., 2022

ResNeSt: Split-Attention Networks.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

FBNetV5: Neural Architecture Search for Multiple Tasks in One Run.

Bichen Wu, Chaojian Li, Hang Zhang, Xiaoliang Dai, Peizhao Zhang, Matthew Yu, Jialiang Wang, Yingyan Lin, Peter Vajda

CoRR, 2021

2020

GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing.

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

J. Mach. Learn. Res., 2020

Improving Semantic Segmentation via Self-Training.

Yi Zhu, Zhongyue Zhang, Chongruo Wu, Zhi Zhang, Tong He, Hang Zhang, R. Manmatha, Mu Li, Alexander J. Smola

CoRR, 2020

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data.

Nick Erickson, Jonas Mueller, Alexander Shirkov, Hang Zhang, Pedro Larroy, Mu Li, Alexander J. Smola

CoRR, 2020

2019

GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing.

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

CoRR, 2019

Dynamic Mini-batch SGD for Elastic Distributed Training: Learning in the Limbo of Resources.

Haibin Lin, Hang Zhang, Yifei Ma, Tong He, Zhi Zhang, Sheng Zha, Mu Li

CoRR, 2019

Bag of Freebies for Training Object Detection Neural Networks.

Zhi Zhang, Tong He, Hang Zhang, Zhongyue Zhang, Junyuan Xie, Mu Li

CoRR, 2019

Photo-Realistic Facial Texture Transfer.

Parneet Kaur, Hang Zhang, Kristin J. Dana

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Bag of Tricks for Image Classification with Convolutional Neural Networks.

Tong He, Zhi Zhang, Hang Zhang, Zhongyue Zhang, Junyuan Xie, Mu Li

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Co-Occurrent Features in Semantic Segmentation.

Hang Zhang, Han Zhang, Chenguang Wang, Junyuan Xie

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Multi-style Generative Network for Real-Time Transfer.

Hang Zhang, Kristin J. Dana

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Deep Texture Manifold for Ground Terrain Recognition.

Jia Xue, Hang Zhang, Kristin J. Dana

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Context Encoding for Semantic Segmentation.

Hang Zhang, Kristin J. Dana, Jianping Shi, Zhongyue Zhang, Xiaogang Wang, Ambrish Tyagi, Amit Agrawal

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Deep TEN: Texture Encoding Network.

Hang Zhang, Jia Xue, Kristin J. Dana

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Differential Angular Imaging for Material Recognition.

Jia Xue, Hang Zhang, Kristin J. Dana, Ko Nishino

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Friction from Reflectance: Deep Reflectance Codes for Predicting Physical Surface Properties from One-Shot In-Field Reflectance.

Hang Zhang, Kristin J. Dana, Ko Nishino

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Reflectance hashing for material recognition.

Hang Zhang, Kristin J. Dana, Ko Nishino

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015