Zhe Wang

Orcid: 0000-0002-0597-4475

Affiliations:

SenseTime Group Limited
Chinese University of Hong Kong, Department of Electronic Engineering, China (PhD)

According to our database¹, Zhe Wang authored at least 49 papers between 2014 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Network pruning via resource reallocation.

[BibT_eX]

[DOI]

Pattern Recognit., January, 2024

2023

ST3D++: Denoised Self-Training for Unsupervised Domain Adaptation on 3D Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2023

ConQueR: Query Contrast Voxel-DETR for 3D Object Detection.

[BibT_eX]

[DOI]

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

2022

Temporal-Channel Transformer for 3D Lidar-Based Video Object Detection for Autonomous Driving.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

Author Correction: Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection.

[BibT_eX]

[DOI]

npj Digit. Medicine, 2022

Correction to: AdaStereo: An Efficient Domain-Adaptive Stereo Matching Approach.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2022

AdaStereo: An Efficient Domain-Adaptive Stereo Matching Approach.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2022

Towards Efficient 3D Object Detection with Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Versatile Neural Architectures by Propagating Network Codes.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

From Points to Parts: 3D Object Detection From Point Cloud With Part-Aware and Part-Aggregation Network.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

ST3D: Self-Training for Unsupervised Domain Adaptation on 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

MP-Mono: Monocular 3D Detection Using Multiple Priors for Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the International Conference on 3D Vision, 2021

2020

Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection.

[BibT_eX]

[DOI]

npj Digit. Medicine, 2020

Multi-Modality Cut and Paste for 3D Object Detection.

[BibT_eX]

[DOI]

Wenwei Zhang

Zhe Wang

Chen Change Loy

CoRR, 2020

Temporal-Channel Transformer for 3D Lidar-Based Video Object Detection in Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2020

Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation.

[BibT_eX]

[DOI]

CoRR, 2020

FLAVA: Find, Localize, Adjust and Verify to Annotate LiDAR-based Point Clouds.

[BibT_eX]

[DOI]

Proceedings of the UIST '20 Adjunct: The 33rd Annual ACM Symposium on User Interface Software and Technology, 2020

SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning Depth-Guided Convolutions for Monocular 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Cross-domain mapping learning for transductive zero-shot learning.

[BibT_eX]

[DOI]

Mingyu Ding

Zhe Wang

Zhiwu Lu

Comput. Vis. Image Underst., 2019

Part-A<sup>2</sup> Net: 3D Part-Aware and Aggregation Neural Network for Object Detection from Point Cloud.

[BibT_eX]

[DOI]

CoRR, 2019

A^2-Net: Molecular Structure Estimation from Cryo-EM Density Volumes.

[BibT_eX]

[DOI]

Qiangfeng Cliff Zhang

CoRR, 2019

Correction to: Automatic differentiation of Glaucoma visual field from non-glaucoma visual field using deep convolutional neural network.

[BibT_eX]

[DOI]

BMC Medical Imaging, 2019

FocusNet: Imbalanced Large and Small Organ Segmentation with an End-to-End Deep Neural Network for Head and Neck CT Images.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Intelligent Glaucoma Diagnosis Via Active Learning And Adversarial Data Augmentation.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Robust Multi-Modality Multi-Object Tracking.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

CamNet: Coarse-to-Fine Retrieval for Camera Re-Localization.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

A2-Net: Molecular Structure Estimation from Cryo-EM Density Volumes.

[BibT_eX]

[DOI]

Qiangfeng Cliff Zhang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

T-CNN: Tubelets With Convolutional Neural Networks for Object Detection From Videos.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2018

Crafting GBD-Net for Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Automatic differentiation of Glaucoma visual field from non-glaucoma visual filed using deep convolutional neural network.

[BibT_eX]

[DOI]

BMC Medical Imaging, 2018

StripNet: Towards Topology Consistent Strip Structure Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Visual Field Based Automatic Diagnosis of Glaucoma Using Deep Convolutional Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

A multi-task framework with feature passing module for skin lesion classification and segmentation.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Pose Guided Human Video Generation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

DeepID-Net: Object Detection with Deformable Part Based Convolutional Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Video Object Segmentation with Re-identification.

[BibT_eX]

[DOI]

CoRR, 2017

Learning Deep Representations for Scene Labeling with Semantic Context Guided Supervision.

[BibT_eX]

[DOI]

CoRR, 2017

Zoom-in-Net: Deep Mining Lesions for Diabetic Retinopathy Detection.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016

Magnetic Resonance Fingerprinting with compressed sensing and distance metric learning.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Learnable Histogram: Statistical Context Features for Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Towards Good Practices for Very Deep Two-Stream ConvNets.

[BibT_eX]

[DOI]

CoRR, 2015

DeepID-Net: Deformable deep convolutional neural networks for object detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

DeepID-Net: multi-stage and deformable deep convolutional neural networks for object detection.

[BibT_eX]

[DOI]

CoRR, 2014

MRF denoising with compressed sensing and adaptive filtering.

[BibT_eX]

[DOI]

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Zhe Wang

Timeline

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