Shanghang Zhang
Shanghang Zhang
Vahvistettu sähköpostiosoite verkkotunnuksessa - Kotisivu
COVID-CT-Dataset: a CT scan dataset about COVID-19
X Yang, X He, J Zhao, Y Zhang, S Zhang, P Xie
arXiv preprint arXiv:2003.13865, 2020
Adversarial Multiple Source Domain Adaptation
H Zhao*, S Zhang*, G Wu, JP Costeira, JMF Moura, GJ Gordon
Advances in Neural Information Processing Systems, 2018
FCN-rLSTM: Deep Spatio-Temporal Neural Networks for Vehicle Counting in City Cameras
S Zhang*, G Wu*, JP Costeira, JMF Moura
International Conference on Computer Vision (ICCV), 2017
Sample-Efficient Deep Learning for COVID-19 Diagnosis Based on CT Scans
X He*, X Yang*, S Zhang*, J Zhao, Y Zhang, E Xing, P Xie
medRxiv, 2020
Understanding Traffic Density from Large-Scale Web Camera Data
S Zhang, G Wu, JP Costeira, JMF Moura
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
Topology adaptive graph convolutional networks
J Du, S Zhang, G Wu, JMF Moura, S Kar
arXiv:1710.10370, 2017
A Deep Learning Approach to IoT Authentication
R Das, A Gadre, S Zhang, S Kumar, J Moura
IEEE ICC 2018 Communication and Information Systems Security Symposium, 2018
Multiple source domain adaptation with adversarial learning
H Zhao*, S Zhang*, G Wu, JP Costeira, JMF Moura, GJ Gordon
International Conference on Learning Representations (ICLR) Workshop, 2018
Dual adversarial semantics-consistent network for generalized zero-shot learning
J Ni, S Zhang, H Xie
arXiv preprint arXiv:1907.05570, 2019
Traffic flow from a low frame rate city camera
E Toropov, L Gui, S Zhang, S Kottur, JMF Moura
2015 IEEE International Conference on Image Processing (ICIP), 3802-3806, 2015
Multiple Source Domain Adaptation with Adversarial Training of Neural Networks
S Zhang, H Zhao, G Wu, JP Costeira, JMF Moura, GJ Gordon
arXiv preprint arXiv:1705.09684, 2017
Multi-source Distilling Domain Adaptation
S Zhao*, G Wang*, S Zhang*, Y Gu, Y Li, Z Song, P Xu, R Hu, H Chai, ...
Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
MaCow: Masked Convolutional Generative Flow
X Ma, X Kong, S Zhang, E Hovy
arXiv preprint arXiv:1902.04208, 2019
MaCow: Masked Convolutional Generative Flow
X Ma, X Kong, S Zhang, E Hovy
Advances in Neural Information Processing Systems, 2019
Learning to understand image blur
S Zhang, X Shen, Z Lin, R Měch, JP Costeira, JMF Moura
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
An efficient foreground-based surveillance video coding scheme in low bit-rate compression
S Zhang, K Wei, H Jia, X Xie, W Gao
2012 Visual Communications and Image Processing, 1-6, 2012
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation
S Zhao, X Yue, S Zhang, B Li, H Zhao, B Wu, R Krishna, JE Gonzalez, ...
IEEE Transactions on Neural Networks and Learning Systems, 2020
Universal Self-Training for Unsupervised Domain Adaptation
K Mei, C Zhu, J Zou, S Zhang
European Conference on Computer Vision (ECCV), 2020
Generalized Zero-shot ICD Coding
C Song, S Zhang, N Sadoughi, P Xie, E Xing
arXiv preprint arXiv:1909.13154, 2019
Bayesian model fusion: enabling test cost reduction of analog/RF circuits via wafer-level spatial variation modeling
S Zhang, X Li, RD Blanton, JM da Silva, JM Carulli, KM Butler
2014 International Test Conference, 1-10, 2014
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Artikkelit 1–20