Hang Zhang - RankMe

34 papers A* 8A 1Journal 22Unranked 3

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	An Investigation on Hardware-Aware Vision Transformer Scaling. ACM Trans. Embed. Comput. Syst. Chaojian Li, Kyungmin Kim, Bichen Wu, Peizhao Zhang, Hang Zhang, Xiaoliang Dai, Peter Vajda, Yingyan (Celine) Lin
2024	J	`jnl`	Improving Semantic Segmentation via Efficient Self-Training. IEEE Trans. Pattern Anal. Mach. Intell. Yi Zhu, Zhongyue Zhang, Chongruo Wu, Zhi Zhang, Tong He, Hang Zhang, R. Manmatha, Mu Li, Alexander J. Smola
2023	A*	`conf`	Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP. CVPR Feng Liang, Bichen Wu, Xiaoliang Dai, Kunpeng Li, Yinan Zhao, Hang Zhang, Peizhao Zhang, Peter Vajda, Diana Marculescu
2022	J	`jnl`	Differential Viewpoints for Ground Terrain Material Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Jia Xue, Hang Zhang, Ko Nishino, Kristin J. Dana
2022	J	`jnl`	Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP. CoRR Feng Liang, Bichen Wu, Xiaoliang Dai, Kunpeng Li, Yinan Zhao, Hang Zhang, Peizhao Zhang, Peter Vajda, Diana Marculescu
2022	—	`conf`	ResNeSt: Split-Attention Networks. CVPR Workshops 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
2021	J	`jnl`	FBNetV5: Neural Architecture Search for Multiple Tasks in One Run. CoRR Bichen Wu, Chaojian Li, Hang Zhang, Xiaoliang Dai, Peizhao Zhang, Matthew Yu, Jialiang Wang, Yingyan Lin, Peter Vajda
2020	J	`jnl`	AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data. CoRR Nick Erickson, Jonas Mueller, Alexander Shirkov, Hang Zhang, Pedro Larroy, Mu Li, Alexander J. Smola
2020	J	`jnl`	Differential Viewpoints for Ground Terrain Material Recognition. CoRR Jia Xue, Hang Zhang, Ko Nishino, Kristin J. Dana
2020	J	`jnl`	GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing. J. Mach. Learn. Res. 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
2020	J	`jnl`	Improving Semantic Segmentation via Self-Training. CoRR Yi Zhu, Zhongyue Zhang, Chongruo Wu, Zhi Zhang, Tong He, Hang Zhang, R. Manmatha, Mu Li, Alexander J. Smola
2020	J	`jnl`	ResNeSt: Split-Attention Networks. CoRR 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
2019	J	`jnl`	Bag of Freebies for Training Object Detection Neural Networks. CoRR Zhi Zhang, Tong He, Hang Zhang, Zhongyue Zhang, Junyuan Xie, Mu Li
2019	A*	`conf`	Bag of Tricks for Image Classification with Convolutional Neural Networks. CVPR Tong He, Zhi Zhang, Hang Zhang, Zhongyue Zhang, Junyuan Xie, Mu Li
2019	A*	`conf`	Co-Occurrent Features in Semantic Segmentation. CVPR Hang Zhang, Han Zhang, Chenguang Wang, Junyuan Xie
2019	J	`jnl`	Dynamic Mini-batch SGD for Elastic Distributed Training: Learning in the Limbo of Resources. CoRR Haibin Lin, Hang Zhang, Yifei Ma, Tong He, Zhi Zhang, Sheng Zha, Mu Li
2019	J	`jnl`	GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing. CoRR 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
2019	A	`conf`	Photo-Realistic Facial Texture Transfer. WACV Parneet Kaur, Hang Zhang, Kristin J. Dana
2018	J	`jnl`	Bag of Tricks for Image Classification with Convolutional Neural Networks. CoRR Tong He, Zhi Zhang, Hang Zhang, Zhongyue Zhang, Junyuan Xie, Mu Li
2018	A*	`conf`	Context Encoding for Semantic Segmentation. CVPR Hang Zhang, Kristin J. Dana, Jianping Shi, Zhongyue Zhang, Xiaogang Wang, Ambrish Tyagi, Amit Agrawal
2018	J	`jnl`	Context Encoding for Semantic Segmentation. CoRR Hang Zhang, Kristin J. Dana, Jianping Shi, Zhongyue Zhang, Xiaogang Wang, Ambrish Tyagi, Amit Agrawal
2018	A*	`conf`	Deep Texture Manifold for Ground Terrain Recognition. CVPR Jia Xue, Hang Zhang, Kristin J. Dana
2018	J	`jnl`	Deep Texture Manifold for Ground Terrain Recognition. CoRR Jia Xue, Hang Zhang, Kristin J. Dana
2018	—	`conf`	Multi-style Generative Network for Real-Time Transfer. ECCV Workshops (4) Hang Zhang, Kristin J. Dana
2017	A*	`conf`	Deep TEN: Texture Encoding Network. CVPR Hang Zhang, Jia Xue, Kristin J. Dana
2017	A*	`conf`	Differential Angular Imaging for Material Recognition. CVPR Jia Xue, Hang Zhang, Kristin J. Dana, Ko Nishino
2017	J	`jnl`	Multi-style Generative Network for Real-time Transfer. CoRR Hang Zhang, Kristin J. Dana
2017	J	`jnl`	Photo-realistic Facial Texture Transfer. CoRR Parneet Kaur, Hang Zhang, Kristin J. Dana
2016	J	`jnl`	Deep TEN: Texture Encoding Network. CoRR Hang Zhang, Jia Xue, Kristin J. Dana
2016	J	`jnl`	Differential Angular Imaging for Material Recognition. CoRR Jia Xue, Hang Zhang, Kristin J. Dana, Ko Nishino
2016	—	`conf`	Friction from Reflectance: Deep Reflectance Codes for Predicting Physical Surface Properties from One-Shot In-Field Reflectance. ECCV (4) Hang Zhang, Kristin J. Dana, Ko Nishino
2016	J	`jnl`	Friction from Reflectance: Deep Reflectance Codes for Predicting Physical Surface Properties from One-Shot In-Field Reflectance. CoRR Hang Zhang, Kristin J. Dana, Ko Nishino
2015	J	`jnl`	Reflectance Hashing for Material Recognition. CoRR Hang Zhang, Kristin J. Dana, Ko Nishino
2015	A*	`conf`	Reflectance hashing for material recognition. CVPR Hang Zhang, Kristin J. Dana, Ko Nishino