About Me

Hang Zhang (张航) is a PhD candidate studying Computer Vision in Electrical and Computer Engineering at Rutgers University. His advisor is Prof. Kristin Dana. Before coming to Rutgers, he received his bachelor degree from Southeast University (Nanjing, China) in 2013,  where he was working under the supervision of Prof. Junyang Li. His research interest is fast visual recognition and retrieval for material study.
[C.V.]

Demo video for MSG-Net

Publications

zhang17

Multi-style Generative Network for Real-time Transfer
Hang Zhang, Kristin Dana
Under Review, 2017

paper | abstract | bibtex | code | video | project

@article{zhang2017multistyle,
	title={Multi-style Generative Network for Real-time Transfer},
	author={Zhang, Hang and Dana, Kristin},
	journal={arXiv preprint arXiv:1703.06953},
	year={2017}
}
			

zhang17

Deep TEN: Texture Encoding Network
Hang Zhang, Jia Xue, Kristin Dana
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), to apper 2017

paper | abstract | bibtex | code | blog | talk slides

@article{zhang2016deep,
	title={Deep TEN: Texture Encoding Network},
	author={Zhang, Hang and Xue, Jia and Dana, Kristin},
	journal={arXiv preprint arXiv:1612.02844},
	year={2016}
}
			

xue17

Differential Angular Imaging for material Recognition
Jia Xue, Hang Zhang, Kristin Dana, Ko Nishino
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), to apper 2017

paper | abstract | bibtex

@article{xue2016differential,
	title={Differential Angular Imaging for Material Recognition},
	author={Xue, Jia and Zhang, Hang and Dana, Kristin and Nishino, Ko},
	journal={arXiv preprint arXiv:1612.02372},
	year={2016}
}
			

zhang16

Friction from Reflectance: Deep Reflectance Codes for Predicting Physical Surface Properties from One-Shot In-Field Reflectance
Hang Zhang, Kristin Dana, Ko Nishino
European Conference on Computer Vision (ECCV), 2016

paper | abstract | bibtex | code | project

@inproceedings{zhang2016friction,
	title={Friction from reflectance: Deep reflectance codes for predicting physical surface properties from one-shot in-field reflectance},
	author={Zhang, Hang and Dana, Kristin and Nishino, Ko},
	booktitle={European Conference on Computer Vision},
	pages={808--824},
	year={2016},
	organization={Springer}
}
			

zhang15

Reflectance Hashing for Material Recognition
Hang Zhang, Kristin Dana, Ko Nishino
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015

paper | abstract | bibtex | project

@InProceedings{zhang2015reflectance,
title     = {Reflectance Hashing for Material Recognition},
author    = {Zhang, Hang and Dana, Kristin and Nishino, Ko},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
pages     = {3071--3080},
year      = {2015}
} 
			

Software

Filename Description Size
MSG-Net-master.zip Software toolkit:
  • Torch Impementation of Inspiration Layer and MSG-Net (Paper 2017).
  • Multi-style transfer in real-time using a single network.
6.3M
Deep-Encoding-master.zip Software toolkit:
  • Torch Impementation of Encoding Layer (CVPR 2017).
  • Reproducting the experimental results of Deep-TEN.
143K
Deep-Reflectance-Code-master.zip Software toolkit:
  • Reproducting the experimental results of DRC (ECCV 2016).
  • Baseline approaches for image retrieval.
214K
ResNet-Matconvnet-master.zip Software toolkit:
  • MatConvNet Re-implementation of ResNet.
  • Reproducting the experimental results con CIFAR10.
195K
visualResNet-master.zip Software toolkit:
  • This software visualizes the class specific saliency map or discriminative location.
  • Torch re-implementation is also provided here.
8.6M
RF2016.zip The package contains:
  • Reflectance disks of 5754 images for 137 materials(ECCV 2016).
  • The measured coefficient of kinetic friction of each material sample.
1.15G
More Unpublished Work and Re-implementations [GitHub , Blog ].

Group

Computer Vision Lab

Professor: Kristin Dana
PhD Students: Hang Zhang, Eric Wengrowski, Jia Xue, Parneet Kaur

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