Qin Wang

According to our database, Qin Wang authored at least 24 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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

Lukas Hoyer, Dengxin Dai, Qin Wang, Yuhua Chen, Luc Van Gool

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

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

Yuan Tian, Klaus-Rudolf Kladny, Qin Wang, Zhiwu Huang, Olga Fink

Neurocomputing, 2023

DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inverse Gram Matrices.

Ismail Nejjar, Qin Wang, Olga Fink

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

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

Rui Gong, Qin Wang, Martin Danelljan, Dengxin Dai, Luc Van Gool

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.

Jiezhang Cao, Qin Wang, Yongqin Xian, Yawei Li, Bingbing Ni, Zhiming Pi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool

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

2022

Integrating Expert Knowledge With Domain Adaptation for Unsupervised Fault Diagnosis.

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.

Rui Gong, Qin Wang, Dengxin Dai, Luc Van Gool

CoRR, 2022

Practical Real Video Denoising with Realistic Degradation Model.

Jiezhang Cao, Qin Wang, Jingyun Liang, Yulun Zhang, Kai Zhang, Luc Van Gool

CoRR, 2022

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

Feiyu Wang, Qin Wang, Wen Li, Dong Xu, Luc Van Gool

CoRR, 2022

Towards Interpretable Video Super-Resolution via Alternating Optimization.

Jiezhang Cao, Jingyun Liang, Kai Zhang, Wenguan Wang, Qin Wang, Yulun Zhang, Hao Tang, Luc Van Gool

Proceedings of the Computer Vision - ECCV 2022, 2022

Continual Test-Time Domain Adaptation.

Qin Wang, Olga Fink, Luc Van Gool, Dengxin Dai

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

2021

Towards Real-World Domain Adaptation with Deep Learning.

Qin Wang

PhD thesis, 2021

Missing-Class-Robust Domain Adaptation by Unilateral Alignment.

Qin Wang, Gabriel Michau, Olga Fink

IEEE Trans. Ind. Electron., 2021

Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation.

Qin Wang, Dengxin Dai, Lukas Hoyer, Luc Van Gool, Olga Fink

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.

Olga Fink, Qin Wang, Markus Svensén, Pierre Dersin, Wan-Jui Lee, Melanie Ducoffe

Eng. Appl. Artif. Intell., 2020

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

Qin Wang, Gabriel Michau, Olga Fink

CoRR, 2020

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

Yuan Tian, Qin Wang, Zhiwu Huang, Wen Li, Dengxin Dai, Minghao Yang, Jun Wang, Olga Fink

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Short-Term Load Forecasting With Deep Residual Networks.

Kunjin Chen, Kunlong Chen, Qin Wang, Ziyu He, Jun Hu, Jinliang He

IEEE Trans. Smart Grid, 2019

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

Kunjin Chen, Yu Zhang, Qin Wang, Jun Hu, Hang Fan, Jinliang He

CoRR, 2019

Domain Adaptive Transfer Learning for Fault Diagnosis.

Qin Wang, Gabriel Michau, Olga Fink

CoRR, 2019

Semi-Supervised Learning by Augmented Distribution Alignment.

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.

Kunjin Chen, Qin Wang, Ziyu He, Kunlong Chen, Jun Hu, Jinliang He

CoRR, 2018

ContextVP: Fully Context-Aware Video Prediction.

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.

Wonmin Byeon, Qin Wang, Rupesh Kumar Srivastava, Petros Koumoutsakos

CoRR, 2017