Hang Zhang

Orcid: 0000-0002-7816-4238

Affiliations:

Facebook Inc., Menlo Park, CA, USA
Amazon AI, Palo Alto, CA, USA (2018 - 2020)
Rutgers University, New Brunswick, Department of Electrical and Computer Engineering, NJ, USA (PhD 2017)

According to our database¹, Hang Zhang authored at least 21 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

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In proceedings

Article

PhD thesis

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Other

Bibliography

2024

Improving Semantic Segmentation via Efficient Self-Training.

[BibT_eX]

[DOI]

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

2023

Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP.

[BibT_eX]

[DOI]

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

2022

Differential Viewpoints for Ground Terrain Material Recognition.

[BibT_eX]

[DOI]

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

ResNeSt: Split-Attention Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2021

2020

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

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2020

Improving Semantic Segmentation via Self-Training.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

2019

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

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Bag of Freebies for Training Object Detection Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Photo-Realistic Facial Texture Transfer.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Co-Occurrent Features in Semantic Segmentation.

[BibT_eX]

[DOI]

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

2018

Multi-style Generative Network for Real-Time Transfer.

[BibT_eX]

[DOI]

Hang Zhang

Kristin J. Dana

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Deep Texture Manifold for Ground Terrain Recognition.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2017

Deep TEN: Texture Encoding Network.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Hang Zhang

Kristin J. Dana

Ko Nishino

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Reflectance hashing for material recognition.

[BibT_eX]

[DOI]

Hang Zhang

Kristin J. Dana

Ko Nishino

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

Hang Zhang

Timeline

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