Wei Xiong

Orcid: 0000-0003-0669-5029

Affiliations:
  • University of Rochester, Department of Computer Science, NY, USA (since 2017)
  • Wuhan University, Department of Computer Science, China (2014 - 2017)


According to our database1, Wei Xiong authored at least 19 papers between 2015 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction.
CoRR, 2023

2022
Breast Cancer Induced Bone Osteolysis Prediction Using Temporal Variational Auto-Encoders.
CoRR, 2022

Unsupervised Low-light Image Enhancement with Decoupled Networks.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2020
CariGAN: Caricature generation through weakly paired adversarial learning.
Neural Networks, 2020

Unsupervised Real-world Low-light Image Enhancement with Decoupled Networks.
CoRR, 2020

Example-Guided Image Synthesis across Arbitrary Scenes using Masked Spatial-Channel Attention and Self-Supervision.
CoRR, 2020

Image Sentiment Transfer.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Example-Guided Image Synthesis Using Masked Spatial-Channel Attention and Self-supervision.
Proceedings of the Computer Vision - ECCV 2020, 2020

Fine-Grained Image-to-Image Transformation Towards Visual Recognition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Example-Guided Scene Image Synthesis using Masked Spatial-Channel Attention and Patch-Based Self-Supervision.
CoRR, 2019

Foreground-Aware Image Inpainting.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Stacked Convolutional Denoising Auto-Encoders for Feature Representation.
IEEE Trans. Cybern., 2017

Combining local and global: Rich and robust feature pooling for visual recognition.
Pattern Recognit., 2017

Stochastic Decorrelation Constraint Regularized Auto-Encoder for Visual Recognition.
Proceedings of the MultiMedia Modeling - 23rd International Conference, 2017

2016
Denoising auto-encoders toward robust unsupervised feature representation.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Regularizing Deep Convolutional Neural Networks with a Structured Decorrelation Constraint.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015
R2FP: Rich and Robust Feature Pooling for Mining Visual Data.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015


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