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 22 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
An Investigation on Hardware-Aware Vision Transformer Scaling.
ACM Trans. Embed. Comput. Syst., May, 2024

Improving Semantic Segmentation via Efficient Self-Training.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

2023
Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Differential Viewpoints for Ground Terrain Material Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

ResNeSt: Split-Attention Networks.
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.
CoRR, 2021

2020
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing.
J. Mach. Learn. Res., 2020

Improving Semantic Segmentation via Self-Training.
CoRR, 2020

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data.
CoRR, 2020

2019
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing.
CoRR, 2019

Dynamic Mini-batch SGD for Elastic Distributed Training: Learning in the Limbo of Resources.
CoRR, 2019

Bag of Freebies for Training Object Detection Neural Networks.
CoRR, 2019

Photo-Realistic Facial Texture Transfer.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Bag of Tricks for Image Classification with Convolutional Neural Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Co-Occurrent Features in Semantic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Multi-style Generative Network for Real-Time Transfer.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Deep Texture Manifold for Ground Terrain Recognition.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Context Encoding for Semantic Segmentation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Deep TEN: Texture Encoding Network.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Differential Angular Imaging for Material Recognition.
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.
Proceedings of the Computer Vision - ECCV 2016, 2016

2015
Reflectance hashing for material recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015


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