Ye Duan

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All published works
Action Title Year Authors
+ PDF Chat Learning World Models for Unconstrained Goal Navigation 2024 Ye Duan
Wei Mao
He Zhu
+ PDF Chat Robust and Explainable Framework to Address Data Scarcity in Diagnostic Imaging 2024 Zehui Zhao
Laith Alzubaidi
Jinglan Zhang
Ye Duan
Usman Naseem
Yuantong Gu
+ PDF Chat An Experimental Comparison of Transfer Learning against Self-supervised Learning 2024 Zehui Zhao
Laith Alzubaidi
Jinglan Zhang
Ye Duan
Usman Naseem
Yuantong Gu
+ PDF Chat Multi-scale Network with Attentional Multi-resolution Fusion for Point Cloud Semantic Segmentation 2022 Yuyan Li
Ye Duan
+ PDF Chat A Region-Based Deep Learning Approach to Automated Retail Checkout 2022 Maged Shoman
Armstrong Aboah
Alex Morehead
Ye Duan
Abdulateef Daud
Yaw Adu‐Gyamfi
+ PDF Chat OmniFusion: 360 Monocular Depth Estimation via Geometry-Aware Fusion 2022 Yuyan Li
Yuliang Guo
Zhixin Yan
Xinyu Huang
Ye Duan
Liu Ren
+ OmniFusion: 360 Monocular Depth Estimation via Geometry-Aware Fusion 2022 Yuyan Li
Yuliang Guo
Zhi-xin Yan
Xinyu Huang
Ye Duan
Liu Ren
+ A Region-Based Deep Learning Approach to Automated Retail Checkout 2022 Maged Shoman
Armstrong Aboah
Alex Morehead
Ye Duan
Abdulateef Daud
Yaw Adu‐Gyamfi
+ PanoDepth: A Two-Stage Approach for Monocular Omnidirectional Depth Estimation 2022 Yuyan Li
Zhi-xin Yan
Ye Duan
Liu Ren
+ Semi-Supervised Representative Region Texture Extraction of Façade 2022 Zhen Ni
Guitao Cao
Ye Duan
+ PDF Chat PanoDepth: A Two-Stage Approach for Monocular Omnidirectional Depth Estimation 2021 Yuyan Li
Zhixin Yan
Ye Duan
Liu Ren
+ PDF Chat SPNet: Multi-shell Kernel Convolution for Point Cloud Semantic Segmentation 2021 Yuyan Li
Chuanmao Fan
Xu Wang
Ye Duan
+ PDF Chat Fast Point Voxel Convolution Neural Network with Selective Feature Fusion for Point Cloud Semantic Segmentation 2021 Xu Wang
Yuyan Li
Ye Duan
+ MedNet: Pre-trained Convolutional Neural Network Model for the Medical Imaging Tasks 2021 Laith Alzubaidi
José Santamaría
Mohamed Manoufali
Beadaa Mohammed
Mohammed A. Fadhel
Jinglan Zhang
Ali H. Al‐Timemy
Omran Al-Shamma
Ye Duan
+ SPNet: Multi-Shell Kernel Convolution for Point Cloud Semantic Segmentation 2021 Yuyan Li
Chuanmao Fan
Xu Wang
Ye Duan
+ RED-NET: A Recursive Encoder-Decoder Network for Edge Detection 2019 Truc Le
Yuyan Li
Ye Duan
+ PDF Chat Brain morphometry on congenital hand deformities based on TeichmĂŒller space theory 2014 Hao Peng
Xu Wang
Ye Duan
Scott H. Frey
Xianfeng Gu
+ Statistical 3D shape analysis of gender differences in lateral ventricles 2010 Qing He
Dmitriy Karpman
Ye Duan
+ PDF Chat A Fast, Semi-automatic Brain Structure Segmentation Algorithm for Magnetic Resonance Imaging 2009 Kevin Karsch
Qing He
Ye Duan
+ PDF Chat Web based brain volume calculation for magnetic resonance images 2008 Kevin Karsch
Brian Grinstead
Qing He
Ye Duan
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Joint 2D-3D-Semantic Data for Indoor Scene Understanding 2017 Iro Armeni
Sasha Sax
Amir Zamir
Silvio Savarese
5
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
5
+ PDF Chat RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds 2020 Qingyong Hu
Bo Yang
Linhai Xie
Stefano Rosa
Yulan Guo
Zhihua Wang
Niki Trigoni
Andrew Markham
3
+ ShellNet: Efficient Point Cloud Convolutional Neural Networks Using Concentric Shells Statistics 2019 Zhiyuan Zhang
Binh‐Son Hua
Sai-Kit Yeung
3
+ PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space 2017 Charles R. Qi
Yi Li
Hao Su
Leonidas Guibas
3
+ PDF Chat 3D Semantic Segmentation with Submanifold Sparse Convolutional Networks 2018 Benjamin Graham
Martin Engelcke
Laurens van der Maaten
3
+ PDF Chat KPConv: Flexible and Deformable Convolution for Point Clouds 2019 Hugues Thomas
Charles R. Qi
Jean‐Emmanuel Deschaud
Beatriz Marcotegui
François Goulette
Leonidas Guibas
3
+ PDF Chat 4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks 2019 Christopher Choy
JunYoung Gwak
Silvio Savarese
3
+ PDF Chat SEGCloud: Semantic Segmentation of 3D Point Clouds 2017 Lyne P. Tchapmi
Christopher Choy
Iro Armeni
JunYoung Gwak
Silvio Savarese
3
+ PDF Chat PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation 2017 Raffaelli Charles
Hao Su
Kaichun Mo
Leonidas Guibas
3
+ PDF Chat 3D ShapeNets: A deep representation for volumetric shapes 2015 Zhirong Wu
Shuran Song
Aditya Khosla
Fisher Yu
Linguang Zhang
Xiaoou Tang
Jianxiong Xiao
2
+ PDF Chat Deeper Depth Prediction with Fully Convolutional Residual Networks 2016 Iro Laina
Christian Rupprecht
Vasileios Belagiannis
Federico Tombari
Nassir Navab
2
+ PDF Chat Multi-view Convolutional Neural Networks for 3D Shape Recognition 2015 Hang Su
Subhransu Maji
Evangelos Kalogerakis
Erik Learned-Miller
2
+ PDF Chat Unsupervised Monocular Depth Estimation with Left-Right Consistency 2017 Clément Godard
Oisin Mac Aodha
Gabriel Brostow
2
+ PDF Chat Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture 2015 David Eigen
Rob Fergus
2
+ PDF Chat Deep Parametric Continuous Convolutional Neural Networks 2018 Shenlong Wang
Simon Su
Wei-Chiu Ma
Andrei Pokrovsky
Raquel Urtasun
2
+ PDF Chat Fully convolutional networks for semantic segmentation 2015 Jonathan Long
Evan Shelhamer
Trevor Darrell
2
+ Adam: A Method for Stochastic Optimization 2014 Diederik P. Kingma
Jimmy Ba
2
+ PDF Chat Pano Popups: Indoor 3D Reconstruction with a Plane-Aware Network 2019 Marc Eder
Pierre Moulon
Li Guan
2
+ PDF Chat Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds 2020 Huan Lei
Naveed Akhtar
Ajmal Mian
2
+ PDF Chat ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes 2017 Angela Dai
Anne Lynn S. Chang
Manolis Savva
Maciej Halber
Thomas Funkhouser
Matthias Nießner
2
+ PDF Chat Densely Connected Convolutional Networks 2017 Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
2
+ PDF Chat Matterport3D: Learning from RGB-D Data in Indoor Environments 2017 Anne Lynn S. Chang
Angela Dai
Thomas Funkhouser
Maciej Halber
Matthias NieBner
Manolis Savva
Shuran Song
Andy Zeng
Yinda Zhang
2
+ PDF Chat SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters 2018 Yifan Xu
Tianqi Fan
Mingye Xu
Long Zeng
Yu Qiao
2
+ Depth Map Prediction from a Single Image using a Multi-Scale Deep Network 2014 David Eigen
Christian Puhrsch
Rob Fergus
2
+ PDF Chat OmniDepth: Dense Depth Estimation for Indoors Spherical Panoramas 2018 Nikolaos Zioulis
Antonis Karakottas
Dimitrios Zarpalas
Petros Daras
2
+ PDF Chat Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling 2018 Yiru Shen
Chen Feng
Yaoqing Yang
Dong Tian
2
+ PDF Chat Kernel Transformer Networks for Compact Spherical Convolution 2019 Yu-Chuan Su
Kristen Grauman
2
+ Shape Discrimination in the Hippocampus Using an MDL Model 2003 Rhodri Davies
Carole Twining
Philip D. Allen
T.F. Cootes
Chris Taylor
1
+ PDF Chat Oriented edge forests for boundary detection 2015 Sam Hallman
Charless C. Fowlkes
1
+ Shape analysis of brain ventricles using SPHARM 2002 Guido Gerig
Martin Styner
Douglas W. Jones
Daniel R. Weinberger
Jeffrey A. Lieberman
1
+ PDF Chat Identifying global anatomical differences: Deformation-based morphometry 1998 John Ashburner
Chloe Hutton
R. S. J. Frackowiak
Ingrid S. Johnsrude
Cathy J. Price
Karl Friston
1
+ PDF Chat Learning Deconvolution Network for Semantic Segmentation 2015 Hyeonwoo Noh
Seunghoon Hong
Bohyung Han
1
+ PDF Chat Active contours without edges 2001 Tony F. Chan
Luminita A. Vese
1
+ PDF Chat A Computational Model of Multidimensional Shape 2010 Xiuwen Liu
Yonggang Shi
Ivo D. Dinov
Washington Mio
1
+ PDF Chat Deep hierarchical parsing for semantic segmentation 2015 Abhishek Sharma
Oncel Tuzel
David W. Jacobs
1
+ PDF Chat Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation 2014 Ross Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
1
+ PDF Chat Simple online and realtime tracking with a deep association metric 2017 Nicolai Wojke
Alex Bewley
Dietrich Paulus
1
+ PDF Chat Going deeper with convolutions 2015 Christian Szegedy
Wei Liu
Yangqing Jia
Pierre Sermanet
Scott Reed
Dragomir Anguelov
Dumitru Erhan
Vincent Vanhoucke
Andrew Rabinovich
1
+ PDF Chat Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification 2015 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
1
+ Quasiconformal TeichmĂŒller Theory 1999 Frederick P. Gardiner
Nikola Lakic
1
+ Cortical cartography using the discrete conformal approach of circle packings 2004 Monica K. Hurdal
Ken Stephenson
1
+ PDF Chat Convolutional Oriented Boundaries: From Image Segmentation to High-Level Tasks 2017 Kevis-Kokitsi Maninis
Jordi Pont-Tuset
Pablo ArbelĂĄez
Luc Van Gool
1
+ PDF Chat Learning Non-Lambertian Object Intrinsics Across ShapeNet Categories 2017 Jian Shi
Yue Dong
Hao Su
Stella X. Yu
1
+ Metamorphoses Through Lie Group Action 2005 Alain Trouvé
Laurent YounĂšs
1
+ PDF Chat Pano2Vid: Automatic Cinematography for Watching 360 $$^{\circ }$$ Videos 2017 Yu-Chuan Su
Dinesh Jayaraman
Kristen Grauman
1
+ PDF Chat 3D Shape Segmentation with Projective Convolutional Networks 2017 Evangelos Kalogerakis
Melinos Averkiou
Subhransu Maji
Siddhartha Chaudhuri
1
+ PDF Chat Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs 2017 Maxim Tatarchenko
Alexey Dosovitskiy
Thomas Brox
1
+ PDF Chat End-to-End Learning of Geometry and Context for Deep Stereo Regression 2017 Alex Kendall
Hayk Martirosyan
Saumitro Dasgupta
Peter Henry
Ryan Kennedy
Abraham Bachrach
Adam Bry
1
+ A fast sweeping method for Eikonal equations 2004 Hongkai Zhao
1