Qin Wang

Orcid: 0000-0003-3601-2540

Affiliations:

ETH Zurich, Switzerland

According to our database¹, Qin Wang authored at least 23 papers between 2017 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2023

Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., August, 2023

Multi-agent actor-critic with time dynamical opponent model.

[BibT_eX]

[DOI]

Neurocomputing, 2023

Continuous Pseudo-Label Rectified Domain Adaptive Semantic Segmentation with Implicit Neural Representations.

[BibT_eX]

[DOI]

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

CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution.

[BibT_eX]

[DOI]

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

2022

Integrating Expert Knowledge With Domain Adaptation for Unsupervised Fault Diagnosis.

[BibT_eX]

[DOI]

Qin Wang

Cees Taal

Olga Fink

IEEE Trans. Instrum. Meas., 2022

One-Shot Domain Adaptive and Generalizable Semantic Segmentation with Class-Aware Cross-Domain Transformers.

[BibT_eX]

[DOI]

CoRR, 2022

Practical Real Video Denoising with Realistic Degradation Model.

[BibT_eX]

[DOI]

CoRR, 2022

Revisiting Deep Semi-supervised Learning: An Empirical Distribution Alignment Framework and Its Generalization Bound.

[BibT_eX]

[DOI]

CoRR, 2022

Towards Interpretable Video Super-Resolution via Alternating Optimization.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Continual Test-Time Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Towards Real-World Domain Adaptation with Deep Learning.

[BibT_eX]

[DOI]

Qin Wang

PhD thesis, 2021

Missing-Class-Robust Domain Adaptation by Unilateral Alignment.

[BibT_eX]

[DOI]

Qin Wang

Gabriel Michau

Olga Fink

IEEE Trans. Ind. Electron., 2021

Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Potential, challenges and future directions for deep learning in prognostics and health management applications.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2020

Missing-Class-Robust Domain Adaptation by Unilateral Alignment for Fault Diagnosis.

[BibT_eX]

[DOI]

Qin Wang

Gabriel Michau

Olga Fink

CoRR, 2020

Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Short-Term Load Forecasting With Deep Residual Networks.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2019

Scale- and Context-Aware Convolutional Non-intrusive Load Monitoring.

[BibT_eX]

[DOI]

CoRR, 2019

Domain Adaptive Transfer Learning for Fault Diagnosis.

[BibT_eX]

[DOI]

Qin Wang

Gabriel Michau

Olga Fink

CoRR, 2019

Semi-Supervised Learning by Augmented Distribution Alignment.

[BibT_eX]

[DOI]

Qin Wang

Wen Li

Luc Van Gool

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Convolutional Sequence to Sequence Non-intrusive Load Monitoring.

[BibT_eX]

[DOI]

CoRR, 2018

ContextVP: Fully Context-Aware Video Prediction.

[BibT_eX]

[DOI]

Wonmin Byeon

Qin Wang

Rupesh Kumar Srivastava

Petros Koumoutsakos

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

2017

Fully Context-Aware Video Prediction.

[BibT_eX]

[DOI]

Wonmin Byeon

Qin Wang

Rupesh Kumar Srivastava

Petros Koumoutsakos

CoRR, 2017

Qin Wang

Timeline

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