Pei Wang (王沛)

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	Sve	Od 2018.
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Suautori

Nuno VasconcelosProfessor of Electrical and Computer Engineering, University of California San DiegoPotvrđena adresa e-pošte na ece.ucsd.edu
Weiming HuNLPRPotvrđena adresa e-pošte na nlpr.ia.ac.cn
Chunfeng YuanNational Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of SciencesPotvrđena adresa e-pošte na nlpr.ia.ac.cn
Yijun LiAdobe ResearchPotvrđena adresa e-pošte na adobe.com
Bing LiProfessor of National Laboratory of Pattern Recognition, Institute of Automation, ChinesePotvrđena adresa e-pošte na nlpr.ia.ac.cn
Zhaowei CaiAWS AI LabsPotvrđena adresa e-pošte na ucsd.edu
Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland UniversityPotvrđena adresa e-pošte na mpi-inf.mpg.de
Stefano SoattoProfessor of Computer Science, UCLA; VP, AWSPotvrđena adresa e-pošte na ucla.edu
Yunsheng LiPh.D. of Electrial and Computer Engineering Department of UC San DiegoPotvrđena adresa e-pošte na eng.ucsd.edu
Lu YuanPrincipal Research Manager, Cognition, Cloud & AI, MicrosoftPotvrđena adresa e-pošte na microsoft.com
Yinpeng ChenMicrosoft.comPotvrđena adresa e-pošte na microsoft.com
Tz-Ying WuUniversity of California San DiegoPotvrđena adresa e-pošte na ucsd.edu
Chih-Hui (John) HoUniversity of California San DiegoPotvrđena adresa e-pošte na eng.ucsd.edu
Pedro MorgadoAssistant Professor, University of Wisconsin-MadisonPotvrđena adresa e-pošte na wisc.edu
Kabir NagrechaUniversity of California, San DiegoPotvrđena adresa e-pošte na ucsd.edu
Hao YangAmazon Web ServicesPotvrđena adresa e-pošte na amazon.com
Gurumurthy SwaminathanSenior Applied Scientist, Amazon, Seattle, USAPotvrđena adresa e-pošte na alum.bu.edu
Jingwan LuAdobe ResearchPotvrđena adresa e-pošte na adobe.com
Krishna Kumar SinghAdobe ResearchPotvrđena adresa e-pošte na ucdavis.edu
Steve MaybankProfessor in the Department of Computer Science, Birkbeck College, LondonPotvrđena adresa e-pošte na dcs.bbk.ac.uk

Prati

Pei Wang (王沛)

Amazon, AWS AI Labs

Potvrđena adresa e-pošte na eng.ucsd.edu - Početna stranica

Computer Vision Machine Learning Deep Learning


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
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	111	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	59	2021
Scout: Self-aware discriminant counterfactual explanations P Wang, N Vasconcelos Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	51	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	39	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	30	2020
Towards Realistic Predictors P Wang, N Vasconcelos The European Conference on Computer Vision, 2018	29	2018
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	22	2022
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	20	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	16	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	10	2021
Deliberative Explanations: visualizing network insecurities P Wang, N Vasconcelos Advances in Neural Information Processing Systems, 1372-1383, 2019	9	2019
A machine teaching framework for scalable recognition P Wang, N Vasconcelos Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021	7	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	7	2018
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
A generalized explanation framework for visualization of deep learning model predictions P Wang, N Vasconcelos IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023	2	2023
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 UC 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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