Mooyeol Baek

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Common Coauthors
Coauthor Papers Together
Bohyung Han 2
Hyeonseob Nam 1
Ilchae Jung 1
Jeany Son 1
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation 2014 Ross Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
2
+ PDF Chat Fully convolutional networks for semantic segmentation 2015 Jonathan Long
Evan Shelhamer
Trevor Darrell
1
+ Return of the Devil in the Details: Delving Deep into Convolutional Nets 2014 Ken Chatfield
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
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
+ PDF Chat Online Object Tracking with Proposal Selection 2015 Hua Yang
Karteek Alahari
Cordelia Schmid
1
+ PDF Chat DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs 2017 Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Murphy
Alan Yuille
1
+ Modeling and Propagating CNNs in a Tree Structure for Visual Tracking 2016 Hyeonseob Nam
Mooyeol Baek
Bohyung Han
1
+ PDF Chat Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking 2016 Martin Danelljan
Andreas Robinson
Fahad Shahbaz Khan
Michael Felsberg
1
+ PDF Chat Discriminative Scale Space Tracking 2016 Martin Danelljan
G Hager
Fahad Shahbaz Khan
Michael Felsberg
1
+ PDF Chat SANet: Structure-Aware Network for Visual Tracking 2017 Heng Fan
Haibin Ling
1
+ PDF Chat ECO: Efficient Convolution Operators for Tracking 2017 Martin Danelljan
Goutam Bhat
Fahad Shahbaz Khan
Michael Felsberg
1
+ PDF Chat Learning Background-Aware Correlation Filters for Visual Tracking 2017 Hamed Kiani Galoogahi
Ashton Fagg
Simon Lucey
1
+ PDF Chat Good Features to Correlate for Visual Tracking 2018 Erhan Gündoğdu
A. Aydın Alatan
1
+ PDF Chat CREST: Convolutional Residual Learning for Visual Tracking 2017 Yibing Song
Chao Ma
Lijun Gong
Jiawei Zhang
Rynson W. H. Lau
Ming–Hsuan Yang
1
+ Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network 2015 Seunghoon Hong
Tackgeun You
Suha Kwak
Bohyung Han
1
+ Learning Deconvolution Network for Semantic Segmentation 2015 Hyeonwoo Noh
Seunghoon Hong
Bohyung Han
1
+ PDF Chat End-to-End Representation Learning for Correlation Filter Based Tracking 2017 Jack Valmadre
Luca Bertinetto
João Henriques
Andrea Vedaldi
Philip H. S. Torr
1
+ Very Deep Convolutional Networks for Large-Scale Image Recognition 2014 Karen Simonyan
Andrew Zisserman
1
+ Return of the Devil in the Details: Delving Deep into Convolutional Nets 2014 Ken Chatfield
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
1
+ PDF Chat Beyond Local Search: Tracking Objects Everywhere with Instance-Specific Proposals 2016 Gao Zhu
Fatih Porikli
Hongdong Li
1
+ PDF Chat Learning Policies for Adaptive Tracking with Deep Feature Cascades 2017 Chen Huang
Simon Lucey
Deva Ramanan
1
+ PDF Chat Parallel Tracking and Verifying: A Framework for Real-Time and High Accuracy Visual Tracking 2017 Heng Fan
Haibin Ling
1
+ PDF Chat Learning to Track at 100 FPS with Deep Regression Networks 2016 David Held
Sebastian Thrun
Silvio Savarese
1
+ PDF Chat Learning Multi-domain Convolutional Neural Networks for Visual Tracking 2016 Hyeonseob Nam
Bohyung Han
1
+ PDF Chat Learning Spatially Regularized Correlation Filters for Visual Tracking 2015 Martin Danelljan
G Hager
Fahad Shahbaz Khan
Michael Felsberg
1