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Few-Shot Object Detection via Feature Reweighting

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019, p.8419-8428

2019

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IEEE_Xplore

3D ShapeNets: A deep representation for volumetric shapes

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, p.1912-1920

2015

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Risk Pooling, Supply Chain Hierarchy, and Analysts’ Forecasts

Production and operations management, 2019-02, Vol.28 (2), p.276-291

2019

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Uncertainty Guided Policy for Active Robotic 3D Reconstruction Using Neural Radiance Fields

IEEE robotics and automation letters, 2022-10, Vol.7 (4), p.1-8

2022

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IEEE_Xplore

An empirical examination of the use of bargaining power and its impacts on supply chain financial performance

Journal of purchasing and supply management, 2019-10, Vol.25 (4), p.100550, Article 100550

2019

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Uncertainty-Driven Dense Two-View Structure from Motion

IEEE robotics and automation letters, 2023-03, Vol.8 (3), p.1-8

2023

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IEEE_Xplore

Joint Monocular 3D Vehicle Detection and Tracking

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019, p.5389-5398

2019

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IEEE_Xplore

An empirical examination of the direct and indirect effects of geographic diversification on stock market and financial performances of multinational corporations

International journal of physical distribution & logistics management, 2017-01, Vol.47 (6), p.495-515

2017

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Using Graph Theory to Optimize Career Transitions

Studies in business and economics (Romania), 2022-12, Vol.17 (3), p.162-174

2022

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Customer-Country diversification and inventory efficiency: Comparative evidence from the manufacturing sector during the pre-pandemic and the COVID-19 pandemic periods

Journal of business research, 2022-09, Vol.148, p.292-303

2022

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S ^M-Net: Joint Learning of Semantic Segmentation and Stereo Matching for Autonomous Driving

IEEE transactions on intelligent vehicles, 2024-02, Vol.9 (2), p.3940-3951

2024

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IEEE_Xplore

Aligning supply chain transportation strategy with industry characteristics: Evidence from the US-Asia supply chain

International journal of physical distribution & logistics management, 2015-01, Vol.45 (9/10), p.837-860

2015

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Dilated Residual Networks

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, p.636-644

2017

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An Empirical Analysis of the Impact of Fuel Costs on the Level and Distribution of Manufacturing Inventory in the United States

Transportation journal, 2014-01, Vol.53 (1), p.5-25

2014

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Hierarchical Discrete Distribution Decomposition for Match Density Estimation

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.6037-6046

2019

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Deep Layer Aggregation

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, p.2403-2412

2018

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IEEE_Xplore

RePaint: Inpainting using Denoising Diffusion Probabilistic Models

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, p.11451-11461

2022

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BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, p.2633-2642

2020

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IEEE_Xplore

The Ongoing Impact of the US-China Air Services Agreements (ASAs) on Air Passenger Markets

Transportation journal, 2014-07, Vol.53 (3), p.274-304

2014

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Semantic Scene Completion from a Single Depth Image

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, p.190-198

2017

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3D Reconstruction from Accidental Motion

2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014, p.3986-3993

2014

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Exploring Cross-Image Pixel Contrast for Semantic Segmentation

2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021, p.7283-7293

2021

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IEEE_Xplore

PairedCycleGAN: Asymmetric Style Transfer for Applying and Removing Makeup

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, p.40-48

2018

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IEEE_Xplore

Quasi-Dense Similarity Learning for Multiple Object Tracking

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, p.164-173

2021

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End-to-End Learning of Driving Models from Large-Scale Video Datasets

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, p.3530-3538

2017

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Few-Shot Object Detection via Feature Reweighting

3D ShapeNets: A deep representation for volumetric shapes

Risk Pooling, Supply Chain Hierarchy, and Analysts’ Forecasts

Uncertainty Guided Policy for Active Robotic 3D Reconstruction Using Neural Radiance Fields

An empirical examination of the use of bargaining power and its impacts on supply chain financial performance

Uncertainty-Driven Dense Two-View Structure from Motion

Joint Monocular 3D Vehicle Detection and Tracking

An empirical examination of the direct and indirect effects of geographic diversification on stock market and financial performances of multinational corporations

Using Graph Theory to Optimize Career Transitions

Customer-Country diversification and inventory efficiency: Comparative evidence from the manufacturing sector during the pre-pandemic and the COVID-19 pandemic periods

S ^M-Net: Joint Learning of Semantic Segmentation and Stereo Matching for Autonomous Driving

Aligning supply chain transportation strategy with industry characteristics: Evidence from the US-Asia supply chain

Dilated Residual Networks

An Empirical Analysis of the Impact of Fuel Costs on the Level and Distribution of Manufacturing Inventory in the United States

Hierarchical Discrete Distribution Decomposition for Match Density Estimation

Deep Layer Aggregation

RePaint: Inpainting using Denoising Diffusion Probabilistic Models

BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

The Ongoing Impact of the US-China Air Services Agreements (ASAs) on Air Passenger Markets

Semantic Scene Completion from a Single Depth Image

3D Reconstruction from Accidental Motion

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

PairedCycleGAN: Asymmetric Style Transfer for Applying and Removing Makeup

Quasi-Dense Similarity Learning for Multiple Object Tracking

End-to-End Learning of Driving Models from Large-Scale Video Datasets

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