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PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.770-779

2019

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Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, p.1249-1258

2016

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Research on Fault Detection Algorithm of Pantograph Based on Edge Computing Image Processing

IEEE access, 2020, Vol.8, p.84652-84659

Li, Hongsheng

2020

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Interpolated Convolutional Networks for 3D Point Cloud Understanding

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019, p.1578-1587

2019

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

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, p.10526-10535

2020

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Cross-scene crowd counting via deep convolutional neural networks

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, p.833-841

2015

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Saliency detection by multi-context deep learning

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, p.1265-1274

2015

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Learning Feature Pyramids for Human Pose Estimation

2017 IEEE International Conference on Computer Vision (ICCV), 2017, p.1290-1299

2017

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Efficient Attention: Attention with Linear Complexities

2021 IEEE Winter Conference on Applications of Computer Vision (WACV), 2021, p.3530-3538

2021

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Object Detection from Video Tubelets with Convolutional Neural Networks

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, p.817-825

2016

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Learning Monocular Depth by Distilling Cross-Domain Stereo Networks

Computer Vision – ECCV 2018, p.506-523

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Identity-Aware Textual-Visual Matching with Latent Co-attention

2017 IEEE International Conference on Computer Vision (ICCV), 2017, p.1908-1917

2017

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Learning Spatial Regularization with Image-Level Supervisions for Multi-label Image Classification

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, p.2027-2036

2017

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Structured Feature Learning for Pose Estimation

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, p.4715-4723

2016

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HMS-Net: Hierarchical Multi-Scale Sparsity-Invariant Network for Sparse Depth Completion

IEEE transactions on image processing, 2020-01, Vol.29, p.3429-3441

2020

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Group Consistent Similarity Learning via Deep CRF for Person Re-identification

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, p.8649-8658

2018

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End-to-End Learning of Deformable Mixture of Parts and Deep Convolutional Neural Networks for Human Pose Estimation

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, p.3073-3082

2016

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AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.10815-10824

2019

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Online Multi-object Tracking Using CNN-Based Single Object Tracker with Spatial-Temporal Attention Mechanism

2017 IEEE International Conference on Computer Vision (ICCV), 2017, p.4846-4855

2017

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CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019, p.5763-5772

2019

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A Fractional Order Proportional and Derivative (FOPD) Motion Controller: Tuning Rule and Experiments

IEEE transactions on control systems technology, 2010-03, Vol.18 (2), p.516-520

2010

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Which Is the Optimal Biologically Effective Dose of Stereotactic Body Radiotherapy for Stage I Non–Small-Cell Lung Cancer? A Meta-Analysis

International journal of radiation oncology, biology, physics, 2011-11, Vol.81 (4), p.e305-e316

2011

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Pedestrian Behavior Modeling From Stationary Crowds With Applications to Intelligent Surveillance

IEEE transactions on image processing, 2016-09, Vol.25 (9), p.4354-4368

2016

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Learning Deep Neural Networks for Vehicle Re-ID with Visual-spatio-Temporal Path Proposals

2017 IEEE International Conference on Computer Vision (ICCV), 2017, p.1918-1927

2017

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Person Search with Natural Language Description

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, p.5187-5196

2017

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PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud

Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification

Research on Fault Detection Algorithm of Pantograph Based on Edge Computing Image Processing

Interpolated Convolutional Networks for 3D Point Cloud Understanding

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

Cross-scene crowd counting via deep convolutional neural networks

Saliency detection by multi-context deep learning

Learning Feature Pyramids for Human Pose Estimation

Efficient Attention: Attention with Linear Complexities

Object Detection from Video Tubelets with Convolutional Neural Networks

Learning Monocular Depth by Distilling Cross-Domain Stereo Networks

Identity-Aware Textual-Visual Matching with Latent Co-attention

Learning Spatial Regularization with Image-Level Supervisions for Multi-label Image Classification

Structured Feature Learning for Pose Estimation

HMS-Net: Hierarchical Multi-Scale Sparsity-Invariant Network for Sparse Depth Completion

Group Consistent Similarity Learning via Deep CRF for Person Re-identification

End-to-End Learning of Deformable Mixture of Parts and Deep Convolutional Neural Networks for Human Pose Estimation

AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations

Online Multi-object Tracking Using CNN-Based Single Object Tracker with Spatial-Temporal Attention Mechanism

CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval

A Fractional Order Proportional and Derivative (FOPD) Motion Controller: Tuning Rule and Experiments

Which Is the Optimal Biologically Effective Dose of Stereotactic Body Radiotherapy for Stage I Non–Small-Cell Lung Cancer? A Meta-Analysis

Pedestrian Behavior Modeling From Stationary Crowds With Applications to Intelligent Surveillance

Learning Deep Neural Networks for Vehicle Re-ID with Visual-spatio-Temporal Path Proposals

Person Search with Natural Language Description

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