Qingsen Yan

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	Toate	Din 2020
Referințe bibliografice	3844	3780
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Yanning ZhangNorthwestern Polytechnical UniversityAdresă de e-mail confirmată pe nwpu.edu.cn
Professor Javen Qinfeng ShiDirector for Causal AI Group, University of AdelaideAdresă de e-mail confirmată pe adelaide.edu.au
Dong GongUniversity of New South Wales (UNSW)Adresă de e-mail confirmată pe unsw.edu.au
Ian D ReidMohammed Bin Zayed University of Artificial Intelligence and University of AdelaideAdresă de e-mail confirmată pe adelaide.edu.au
Anton van den HengelDirector of the Centre for Augmented Reasoning at AIML.Adresă de e-mail confirmată pe adelaide.edu.au
Peng Wu 吴鹏Northwestern Polytechnical UniversityAdresă de e-mail confirmată pe nwpu.edu.cn
Lei Zhang (NPU)Professor, Northwestern Polytechnical UniversityAdresă de e-mail confirmată pe nwpu.edu.cn
Chunhua ShenZhejiang UniversityAdresă de e-mail confirmată pe zju.edu.cn
Lingqiao LiuAssociate Professor at the University of AdelaideAdresă de e-mail confirmată pe adelaide.edu.au
Hao TangPeking University | CMU | ETH Zurich | University of Oxford | University of Trento | IIAIAdresă de e-mail confirmată pe pku.edu.cn
Luc Van Goolprofessor computer vision INSAIT Sofia University, em. KU Leuven, em. ETHZ, Toyota Lab TRACEAdresă de e-mail confirmată pe insait.ai
Guansong PangAssistant Professor of Computer Science, Singapore Management UniversityAdresă de e-mail confirmată pe smu.edu.sg
Peng WangSchool of Computer Science, Northwestern Polytechnical University, ChinaAdresă de e-mail confirmată pe nwpu.edu.cn
Haokui ZhangNorthwestern Polytechnical UniversityAdresă de e-mail confirmată pe mail.nwpu.edu.cn
Pingping Zhang (张平平)Associate Professor, School of Artificial Intelligence, Dalian University of TechnologyAdresă de e-mail confirmată pe dlut.edu.cn
Hamid RezatofighiAssistant Professor, Monash University, Melbourne, AustraliaAdresă de e-mail confirmată pe monash.edu

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Qingsen Yan

Northwestern Polytechnical University

Adresă de e-mail confirmată pe mail.nwpu.edu.cn - Pagina de pornire

Image processing Image fusion Continual learning


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
Blindly assess image quality in the wild guided by a self-adaptive hyper network S Su, Q Yan, Y Zhu, C Zhang, X Ge, J Sun, Y Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	716	2020
AI-assisted CT imaging analysis for COVID-19 screening: Building and deploying a medical AI system B Wang, S Jin, Q Yan, H Xu, C Luo, L Wei, W Zhao, X Hou, W Ma, Z Xu, ... Applied Soft Computing, 106897, 2020	561*	2020
Attention-Guided Network for Ghost-Free High Dynamic Range Imaging. Q Yan, D Gong, Q Shi, A van den Hengel, C Shen, I Reid, Y Zhang CVF Conference on Computer Vision and Pattern Recognition (CVPR), 1751-1760, 2019	331	2019
COVID-19 Chest CT Image Segmentation Network by Multi-Scale Fusion and Enhancement Operations Q Yan, B Wang, D Gong, C Luo, W Zhao, J Shen, J Ai, Q Shi, Y Zhang, ... IEEE Transactions on Big Data 7 (1), 13-24, 2021	281*	2021
Deep HDR Imaging via A Non-local Network Q Yan, L Zhang, Y Liu, Y Zhu, J Sun, Q Shi, Y Zhang IEEE Transactions on Image Processing 29, 4308-4322, 2020	205	2020
Two-stream convolutional networks for blind image quality assessment Q Yan, D Gong, Y Zhang IEEE Transactions on Image Processing 28 (5), 2200-2211, 2018	180	2018
Ms RED: A novel multi-scale residual encoding and decoding network for skin lesion segmentation D Dai, C Dong, S Xu, Q Yan, Z Li, C Zhang, N Luo Medical image analysis 75, 102293, 2022	137	2022
Attention-guided deep neural network with multi-scale feature fusion for liver vessel segmentation Q Yan, B Wang, W Zhang, C Luo, W Xu, Z Xu, Y Zhang, Q Shi, L Zhang, ... IEEE Journal of Biomedical and Health Informatics 25 (7), 2629-2642, 2020	126	2020
Multi-scale dense networks for deep high dynamic range imaging Q Yan, D Gong, P Zhang, Q Shi, J Sun, I Reid, Y Zhang 2019 IEEE winter conference on applications of computer vision (WACV), 41-50, 2019	87	2019
High dynamic range imaging by sparse representation Q Yan, J Sun, H Li, Y Zhu, Y Zhang Neurocomputing 269, 160-169, 2017	65	2017
Vadclip: Adapting vision-language models for weakly supervised video anomaly detection P Wu, X Zhou, G Pang, L Zhou, Q Yan, P Wang, Y Zhang Proceedings of the AAAI Conference on Artificial Intelligence 38 (6), 6074-6082, 2024	62	2024
Toward high-quality HDR deghosting with conditional diffusion models Q Yan, T Hu, Y Sun, H Tang, Y Zhu, W Dong, L Van Gool, Y Zhang IEEE Transactions on Circuits and Systems for Video Technology 34 (5), 4011-4026, 2023	62	2023
Attention-based network for low-light image enhancement C Zhang, Q Yan, Y Zhu, X Li, J Sun, Y Zhang 2020 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2020	54	2020
Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning Q Yan, D Gong, Y Liu, A Hengel, JQ Shi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	52	2022
Dual-attention-guided network for ghost-free high dynamic range imaging Q Yan, D Gong, JQ Shi, A Van Den Hengel, C Shen, I Reid, Y Zhang International Journal of Computer Vision, 1-19, 2022	50	2022
3D medical image segmentation using parallel transformers Q Yan, S Liu, S Xu, C Dong, Z Li, JQ Shi, Y Zhang, D Dai Pattern Recognition 138, 109432, 2023	49	2023
Stock market prediction via deep learning techniques: A survey J Zou, Q Zhao, Y Jiao, H Cao, Y Liu, Q Yan, E Abbasnejad, L Liu, JQ Shi arXiv preprint arXiv:2212.12717, 2022	44	2022
NTIRE 2022 challenge on high dynamic range imaging: Methods and results E Pérez-Pellitero, S Catley-Chandar, R Shaw, A Leonardis, R Timofte, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022	42	2022
A unified hdr imaging method with pixel and patch level Q Yan, W Chen, S Zhang, Y Zhu, J Sun, Y Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	37	2023
Efficient deep models for real-time 4k image super-resolution. NTIRE 2023 benchmark and report MV Conde, E Zamfir, R Timofte, D Motilla, C Liu, Z Zhang, Y Peng, Y Lin, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023	30	2023

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