Tae Kwan Lee

Follow

Generating author description...

Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Squeeze-and-Excitation Networks 2019 Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
2
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
2
+ PDF Chat CNN Features Off-the-Shelf: An Astounding Baseline for Recognition 2014 Ali Sharif Razavian
Hossein Azizpour
Josephine Sullivan
Stefan Carlsson
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
+ Scikit-learn: Machine Learning in Python 2012 Fabián Pedregosa
Gaël Varoquaux
Alexandre Gramfort
Vincent Michel
Bertrand Thirion
Olivier Grisel
Mathieu Blondel
Peter Prettenhofer
Ron J. Weiss
Vincent Dubourg
1
+ PDF Chat ImageNet Large Scale Visual Recognition Challenge 2015 Olga Russakovsky
Jia Deng
Hao Su
Jonathan Krause
Sanjeev Satheesh
Sean Ma
Zhiheng Huang
Andrej Karpathy
Aditya Khosla
Michael S. Bernstein
1
+ TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems 2016 Martı́n Abadi
Ashish Agarwal
Paul Barham
Eugene Brevdo
Zhifeng Chen
Craig Citro
Gregory S. Corrado
Andy Davis
Jay B. Dean
Matthieu Devin
1
+ PDF Chat Deep Image Retrieval: Learning Global Representations for Image Search 2016 Albert Gordo
Jon Almazán
Jérôme Revaud
Diane Larlus
1
+ SGDR: Stochastic Gradient Descent with Warm Restarts 2016 Ilya Loshchilov
Frank Hutter
1
+ PDF Chat End-to-End Learning of Deep Visual Representations for Image Retrieval 2017 Albert Gordo
Jon Almazán
Jérôme Revaud
Diane Larlus
1
+ PDF Chat Aggregated Residual Transformations for Deep Neural Networks 2017 Saining Xie
Ross Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
1
+ PDF Chat Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations 2017 Ahmet İşcen
Giorgos Tolias
Yannis Avrithis
Teddy Furon
Ondřej Chum
1
+ MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications 2017 Andrew Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
Marco Andreetto
Hartwig Adam
1
+ Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour 2017 Priya Goyal
Piotr Dollár
Ross Girshick
Pieter Noordhuis
Lukasz Wesolowski
Aapo Kyrola
Andrew Tulloch
Yangqing Jia
Kaiming He
1
+ Mixed Precision Training 2017 Paulius Micikevicius
Sharan Narang
Jonah Alben
Gregory Diamos
Erich Elsen
David García
Boris Ginsburg
Michael Houston
Oleksii Kuchaiev
Ganesh Venkatesh
1
+ mixup: Beyond Empirical Risk Minimization 2017 Hongyi Zhang
Moustapha Cissé
Yann Dauphin
David López-Paz
1
+ AutoAugment: Learning Augmentation Policies from Data 2018 Ekin D. Cubuk
Barret Zoph
Dandelion Mané
Vijay Vasudevan
Quoc V. Le
1
+ PDF Chat Do Better ImageNet Models Transfer Better? 2019 Simon Kornblith
Jonathon Shlens
Quoc V. Le
1
+ Batch Feature Erasing for Person Re-identification and Beyond. 2018 Zuozhuo Dai
Mingqiang Chen
Siyu Zhu
Ping Tan
1
+ Bag of Tricks for Image Classification with Convolutional Neural Networks 2018 Tong He
Zhang Zhi
Hang Zhang
Zhongyue Zhang
Junyuan Xie
Mu Li
1
+ MultiGrain: a unified image embedding for classes and instances 2019 Maxim Berman
Hervé Jeǵou
Andrea Vedaldi
Iasonas Kokkinos
Matthijs Douze
1
+ PDF Chat Selective Kernel Networks 2019 Xiang Li
Wenhai Wang
Xiaolin Hu
Jian Yang
1
+ Combination of Multiple Global Descriptors for Image Retrieval 2019 HeeJae Jun
Byungsoo Ko
Youngjoon Kim
Insik Kim
Jongtack Kim
1
+ Semi-Supervised Segmentation of Salt Bodies in Seismic Images using an Ensemble of Convolutional Neural Networks 2019 Yauhen Babakhin
Artsiom Sanakoyeu
Hirotoshi Kitamura
1
+ Detect-to-Retrieve: Efficient Regional Aggregation for Image Search 2018 Marvin Teichmann
André Araujo
Menglong Zhu
Jack Sim
1
+ Efficient Image Retrieval via Decoupling Diffusion into Online and Offline Processing 2018 Fan Yang
Ryota Hinami
Yusuke Matsui
Steven Ly
Shin’ichi Satoh
1
+ EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 2019 Mingxing Tan
Quoc V. Le
1
+ Semi-supervised Feature-Level Attribute Manipulation for Fashion Image Retrieval 2019 Minchul Shin
Sanghyuk Park
Taek‐Soo Kim
1
+ PDF Chat Attention-Based Ensemble for Deep Metric Learning 2018 Wonsik Kim
Bhavya Goyal
Kunal Chawla
Jung-Min Lee
Keunjoo Kwon
1
+ PDF Chat Harmonious Attention Network for Person Re-identification 2018 Wei Li
Xiatian Zhu
Shaogang Gong
1
+ PDF Chat Deep Metric Learning via Lifted Structured Feature Embedding 2016 Hyun Oh Song
Yu Xiang
Stefanie Jegelka
Silvio Savarese
1
+ PDF Chat Efficient Nearest Neighbors Search for Large-Scale Landmark Recognition 2018 Federico Magliani
Tomaso Fontanini
Andrea Prati
1
+ Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking 2018 Filip Radenović
Ahmet İşcen
Giorgos Tolias
Yannis Avrithis
Ondřej Chum
1
+ Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition 2018 Chun-Fu Chen
Quanfu Fan
Neil Mallinar
Tom Sercu
Rogério Feris
1
+ PDF Chat Densely Connected Convolutional Networks 2017 Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
1
+ PDF Chat Fine-Tuning CNN Image Retrieval with No Human Annotation 2018 Filip Radenović
Giorgos Tolias
Ondřej Chum
1
+ PDF Chat Bag of Tricks for Image Classification with Convolutional Neural Networks 2019 Tong He
Zhi Zhang
Hang Zhang
Zhongyue Zhang
Junyuan Xie
Mu Li
1
+ PDF Chat MnasNet: Platform-Aware Neural Architecture Search for Mobile 2019 Mingxing Tan
Bo Chen
Ruoming Pang
Vijay Vasudevan
Mark Sandler
Andrew Howard
Quoc V. Le
1
+ PDF Chat Deep Metric Learning with Angular Loss 2017 Jian Wang
Feng Zhou
Shilei Wen
Xiao Liu
Yuanqing Lin
1
+ PDF Chat Learning Transferable Architectures for Scalable Image Recognition 2018 Barret Zoph
Vijay Vasudevan
Jonathon Shlens
Quoc V. Le
1
+ PDF Chat Large-Scale Image Retrieval with Attentive Deep Local Features 2017 Hyeonwoo Noh
André Araujo
Jack Sim
Tobias Weyand
Bohyung Han
1
+ PDF Chat ArcFace: Additive Angular Margin Loss for Deep Face Recognition 2019 Jiankang Deng
Jia Guo
Niannan Xue
Stefanos Zafeiriou
1
+ Batch DropBlock Network for Person Re-identification and Beyond 2018 Zuozhuo Dai
Mingqiang Chen
Xiaodong Gu
Siyu Zhu
Ping Tan
1
+ PDF Chat Batch DropBlock Network for Person Re-Identification and Beyond 2019 Zuozhuo Dai
Mingqiang Chen
Xiaodong Gu
Siyu Zhu
Ping Tan
1
+ GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism 2018 Yanping Huang
Youlong Cheng
Ankur Bapna
Orhan Fırat
Mia Xu Chen
Dehao Chen
HyoukJoong Lee
Jiquan Ngiam
Quoc V. Le
Yonghui Wu
1
+ Adversarial Examples Improve Image Recognition 2019 Cihang Xie
Mingxing Tan
Boqing Gong
Jiang Wang
Alan Yuille
Quoc V. Le
1
+ Distilling the Knowledge in a Neural Network 2015 Geoffrey E. Hinton
Oriol Vinyals
Jay B. Dean
1
+ Understanding deep learning requires rethinking generalization 2016 Chiyuan Zhang
Samy Bengio
Moritz Hardt
Benjamin Recht
Oriol Vinyals
1
+ Fine-Grained Visual Classification of Aircraft 2013 Subhransu Maji
Esa Rahtu
Juho Kannala
Matthew B. Blaschko
Andrea Vedaldi
1