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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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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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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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Volltext

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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Volltext

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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Volltext

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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Volltext

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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Volltext

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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Volltext

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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Volltext

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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Volltext

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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Volltext

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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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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Volltext

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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Volltext

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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Volltext

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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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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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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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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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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Understanding pedestrian behaviors from stationary crowd groups

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, p.3488-3496

2015

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Data-Driven Crowd Understanding: A Baseline for a Large-Scale Crowd Dataset

IEEE transactions on multimedia, 2016-06, Vol.18 (6), p.1048-1061

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

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

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

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

Interpolated Convolutional Networks for 3D Point Cloud Understanding

Structured Feature Learning for Pose Estimation

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

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

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

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

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

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

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

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

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

Pedestrian Behavior Modeling From Stationary Crowds With Applications to Intelligent Surveillance

Person Search with Natural Language Description

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

Understanding pedestrian behaviors from stationary crowd groups

Data-Driven Crowd Understanding: A Baseline for a Large-Scale Crowd Dataset

Learning Monocular Depth by Distilling Cross-Domain Stereo Networks

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