Pei Wang (王沛)

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Nuno VasconcelosProfessor of Electrical and Computer Engineering, University of California San DiegoVerified email at ece.ucsd.edu
Weiming HuNLPRVerified email at nlpr.ia.ac.cn
Chunfeng YuanNational Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of SciencesVerified email at nlpr.ia.ac.cn
Yijun LiAdobe ResearchVerified email at adobe.com
Bing LiProfessor of National Laboratory of Pattern Recognition, Institute of Automation, ChineseVerified email at nlpr.ia.ac.cn
Zhaowei CaiAWS AI LabsVerified email at ucsd.edu
Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland UniversityVerified email at mpi-inf.mpg.de
Stefano SoattoProfessor of Computer Science, UCLA; VP, AWSVerified email at ucla.edu
Lu YuanPrincipal Research Manager, Cognition, Cloud & AI, MicrosoftVerified email at microsoft.com
Yinpeng ChenMicrosoft.comVerified email at microsoft.com
Kabir NagrechaUniversity of California, San DiegoVerified email at ucsd.edu
Tz-Ying WuUniversity of California San DiegoVerified email at ucsd.edu
Chih-Hui (John) HoUniversity of California San DiegoVerified email at ucsd.edu
Pedro MorgadoAssistant Professor, University of Wisconsin-MadisonVerified email at wisc.edu
Hao YangAmazon Web ServicesVerified email at amazon.com
Gurumurthy SwaminathanSenior Applied Scientist, Amazon, Seattle, USAVerified email at alum.bu.edu
Jingwan LuAdobe ResearchVerified email at adobe.com
Krishna Kumar SinghAdobe ResearchVerified email at ucdavis.edu
Steve MaybankEmeritus Professor in the Department of Computer Science, Birkbeck College, LondonVerified email at dcs.bbk.ac.uk
Shuang YangInstitute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn

Pei Wang (王沛)

Amazon, AWS AI Labs

Verified email at eng.ucsd.edu - Homepage

Computer Vision Machine Learning Deep Learning


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Graph Based Skeleton Motion Representation and Similarity Measurement for Action Recognition P Wang, C Yuan, W Hu, B Li, Y Zhang European Conference on Computer Vision 9911, 2016	112	2016
Rethinking and improving the robustness of image style transfer P Wang, Y Li, N Vasconcelos Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021	77	2021
Scout: Self-aware discriminant counterfactual explanations P Wang, N Vasconcelos Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	63	2020
Dynamic transfer for multi-source domain adaptation Y Li, L Yuan, Y Chen, P Wang, N Vasconcelos Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	60	2021
Solving long-tailed recognition with deep realistic taxonomic classifier TY Wu, P Morgado, P Wang, CH Ho, N Vasconcelos Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020	38	2020
Omni-detr: Omni-supervised object detection with transformers P Wang, Z Cai, H Yang, G Swaminathan, N Vasconcelos, B Schiele, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022	36	2022
Towards Realistic Predictors P Wang, N Vasconcelos The European Conference on Computer Vision, 2018	34	2018
IMAGINE: image synthesis by image-guided model inversion P Wang, Y Li, KK Singh, J Lu, N Vasconcelos Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	23	2021
Estimation of chlorophyll content in intertidal mangrove leaves with different thicknesses using hyperspectral data Y Zhao, C Yan, S Lu, P Wang, GY Qiu, R Li Ecological Indicators 106, 105511, 2019	23	2019
Gradient-based algorithms for machine teaching P Wang, K Nagrecha, N Vasconcelos Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	18	2021
Deliberative Explanations: visualizing network insecurities P Wang, N Vasconcelos Advances in Neural Information Processing Systems, 1372-1383, 2019	10	2019
A machine teaching framework for scalable recognition P Wang, N Vasconcelos Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021	9	2021
Context-dependent random walk graph kernels and tree pattern graph matching kernels with applications to action recognition W Hu, B Wu, P Wang, C Yuan, Y Li, S Maybank IEEE Transactions on Image Processing, 2018	8	2018
A generalized explanation framework for visualization of deep learning model predictions P Wang, N Vasconcelos IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023	4	2023
Discriminating growth stages of an endangered Mediterranean relict plant (Ammopiptanthus mongolicus) in the arid Northwest China using hyperspectral measurements R Li, C Yan, Y Zhao, P Wang, GY Qiu Science of the Total Environment 657, 270-278, 2019	3	2019
Hierarchical Bayesian Multiple Kernel Learning Based Feature Fusion for Action Recognition W Sun, C Yuan, P Wang, S Yang, W Hu, Z Cai ICPR Workshop on Multimodal Pattern Recognition of Social Signals in Human …, 2017	1	2017
Towards Professional Level Crowd Annotation of Expert Domain Data P Wang, N Vasconcelos Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023		2023
Scaling up Recognition in Expert Domains with Crowd-source Annotations P Wang University of California, San Diego, 2022		2022
Supplementary materials for SCOUT: Self-aware Discriminant Counterfactual Explanation P Wang, N Vasconcelos		2020
Supplementary materials for: Deliberative Explanations: visualizing network insecurities P Wang, N Vasconcelos		2019

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