Zhe Wang

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Jianping ShiSenseTime Group LimitedDirección de correo verificada de sensetime.com
Hongsheng Li (李鸿升)The Chinese University of Hong KongDirección de correo verificada de ee.cuhk.edu.hk
Xiaogang WangProfessor of Electronic Engineering, the Chinese University of Hong KongDirección de correo verificada de ee.cuhk.edu.hk
Shaoshuai ShiDidi Chuxing, Max Planck Institute for InformaticsDirección de correo verificada de mpi-inf.mpg.de
Wanli Ouyang (欧阳万里)Shanghai AI Lab & CUHKDirección de correo verificada de sydney.edu.au
Ping Luo (羅平)Associate Professor, The University of Hong Kong; MMLAB@HKUDirección de correo verificada de hku.hk
Chen Change LoyPresident's Chair Professor, MMLab@NTU, S-Lab, Nanyang Technological UniversityDirección de correo verificada de ntu.edu.sg
Xingyu ZengSenseTimeDirección de correo verificada de sensetime.com
Xiaoou TangThe Chinese University of Hong KongDirección de correo verificada de ie.cuhk.edu.hk
Xiao SongSenseTime Group LimitedDirección de correo verificada de sensetime.com
Yu QiaoProfessor of Shanghai AI Laboratory; Shenzhen Institutes of Advanced Technology, CASDirección de correo verificada de siat.ac.cn
Xiulan ZhangZhongshan Ophthalmic Center, Sun Yat-sen UniversityDirección de correo verificada de mail.sysu.edu.cn
Xiaojuan QiAssistant Professor, The University of Hong KongDirección de correo verificada de eee.hku.hk
Jihan YangNYU CourantDirección de correo verificada de nyu.edu
Wenwei ZhangShanghai AI LaboratoryDirección de correo verificada de ntu.edu.sg
Dahua LinThe Chinese University of Hong KongDirección de correo verificada de ie.cuhk.edu.hk
Guorun YangSenseTime Group LimitedDirección de correo verificada de sensetime.com
Guosheng LinNanyang Technological UniversityDirección de correo verificada de ntu.edu.sg
Ruibo LiNanyang Technological UniversityDirección de correo verificada de e.ntu.edu.sg
Kui XuTsinghua UniversityDirección de correo verificada de tsinghua.edu.cn

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Zhe Wang

SenseTime Group Limited

Dirección de correo verificada de sensetime.com - Página principal

Deep Learning Computer Vision Autonomous Driving


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection S Shi, C Guo, L Jiang, Z Wang, J Shi, X Wang, H Li CVPR 2020, 2020	2242	2020
From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network S Shi, Z Wang, J Shi, X Wang, H Li arXiv preprint arXiv:1907.03670, 2019	1135*	2019
T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos K Kang, J Yan, X Zeng, B Yang, T Xiao, C Zhang, Z Wang, R Wang, ... IEEE Transactions on Circuits and Systems for Video Technology, 2017	655	2017
Deepid-net: Deformable deep convolutional neural networks for object detection W Ouyang, X Wang, X Zeng, S Qiu, P Luo, Y Tian, H Li, S Yang, Z Wang, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015	609	2015
PV-RCNN++: Point-voxel feature set abstraction with local vector representation for 3D object detection S Shi, L Jiang, J Deng, Z Wang, C Guo, J Shi, X Wang, H Li International Journal of Computer Vision (IJCV), 2021	450	2021
Learning Depth-Guided Convolutions for Monocular 3D Object Detection M Ding, Y Huo, H Yi, Z Wang, J Shi, Z Lu, P Luo CVPR 2020, 2019	358	2019
Zoom-in-Net: Deep Mining Lesions for Diabetic Retinopathy Detection Z Wang, Y Yin, J Shi, W Fang, H Li, X Wang MICCAI 2017, 2017	331	2017
Robust Multi-Modality Multi-Object Tracking W Zhang, H Zhou, S Sun, Z Wang, J Shi, CC Loy International Conference in Computer Vision (ICCV 2019), 2019	259	2019
St3d: Self-training for unsupervised domain adaptation on 3d object detection J Yang, S Shi, Z Wang, H Li, X Qi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021	229	2021
Cylinder3d: An effective 3d framework for driving-scene lidar semantic segmentation H Zhou, X Zhu, X Song, Y Ma, Z Wang, H Li, D Lin arXiv preprint arXiv:2008.01550, 2020	221	2020
Deepid-net: multi-stage and deformable deep convolutional neural networks for object detection W Ouyang, P Luo, X Zeng, S Qiu, Y Tian, H Li, S Yang, Z Wang, Y Xiong, ... arXiv preprint arXiv:1409.3505, 2014	181	2014
Crafting gbd-net for object detection X Zeng, W Ouyang, J Yan, H Li, T Xiao, K Wang, Y Liu, Y Zhou, B Yang, ... IEEE transactions on pattern analysis and machine intelligence, 2017	177	2017
DeepID-Net: Object detection with deformable part based convolutional neural networks W Ouyang, X Zeng, X Wang, S Qiu, P Luo, Y Tian, H Li, S Yang, Z Wang, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 39 (7), 1320-1334, 2016	172	2016
Temporal-channel transformer for 3d lidar-based video object detection for autonomous driving Z Yuan, X Song, L Bai, Z Wang, W Ouyang IEEE Transactions on Circuits and Systems for Video Technology 32 (4), 2068-2078, 2021	168	2021
Pose Guided Human Video Generation C Yang, Z Wang, X Zhu, C Huang, J Shi, D Lin European Conference on Computer Vision, 2018	160	2018
CamNet: Coarse-to-Fine Retrieval for Camera Re-Localization M Ding, Z Wang, J Sun, J Shi, P Luo International Conference in Computer Vision (ICCV 2019), 2019	148	2019
Automatic differentiation of Glaucoma visual field from non-glaucoma visual filed using deep convolutional neural network F Li, Z Wang, G Qu, D Song, Y Yuan, Y Xu, K Gao, G Luo, Z Xiao, ... BMC medical imaging 18, 1-7, 2018	126	2018
AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching X Song, G Yang, X Zhu, H Zhou, Z Wang, J Shi https://arxiv.org/abs/2004.04627, 2020	89	2020
Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow M Ding, Z Wang, B Zhou, J Shi, Z Lu, P Luo AAAI 2020, 2020	88	2020
FocusNet: imbalanced large and small organ segmentation with an end-to-end deep neural network for head and neck CT images Y Gao, R Huang, M Chen, Z Wang, J Deng, Y Chen, Y Yang, J Zhang, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019	88	2019

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