John McKay

Follow

Generating author description...

All published works
Action Title Year Authors
+ Thresholded Non-Uniform Fourier Frame-Based Reconstruction for Stripmap SAR. 2019 John McKay
Anne Gelb
Suren Jayasuriya
Vishal Monga
+ PDF Chat Coupling Rendering and Generative Adversarial Networks for Artificial SAS Image Generation 2019 Albert Reed
Isaac D. Gerg
John McKay
Daniel C. Brown
David P. Williamsk
Suren Jayasuriya
+ Coupling Rendering and Generative Adversarial Networks for Artificial SAS Image Generation. 2019 Albert Reed
Isaac D. Gerg
John McKay
Daniel C. Brown
David P. Williams
Suren Jayasuriya
+ PDF Chat Bridging The GAP: Simultaneous Fine Tuning for Data Re-Balancing 2018 John McKay
Isaac D. Gerg
Vishal Monga
+ Bridging the Gap: Simultaneous Fine Tuning for Data Re-Balancing 2018 John McKay
Isaac D. Gerg
Vishal Monga
+ PDF Chat Fast stochastic hierarchical Bayesian map for tomographic imaging 2017 John McKay
Raghu G. Raj
Vishal Monga
+ Fast Stochastic Hierarchical Bayesian MAP for Tomographic Imaging 2017 John McKay
Raghu G. Raj
Vishal Monga
+ PDF Chat Robust Sonar ATR Through Bayesian Pose-Corrected Sparse Classification 2017 John McKay
Vishal Monga
Raghu G. Raj
+ What's Mine is Yours: Pretrained CNNs for Limited Training Sonar ATR 2017 John McKay
Isaac D. Gerg
Vishal Monga
Raghu G. Raj
+ PDF Chat Localized dictionary design for geometrically robust sonar ATR 2016 John McKay
Vishal Monga
Raghu G. Raj
+ Localized Dictionary design for Geometrically Robust Sonar ATR 2016 John McKay
Vishal Monga
Raghu G. Raj
+ Discriminative Sparsity for Sonar ATR 2016 John McKay
Raghu G. Raj
Vishal Monga
Jason Isaacs
+ PDF Chat Discriminative sparsity for Sonar ATR 2015 John McKay
Raghu G. Raj
Vishal Monga
Jason Isaacs
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Very Deep Convolutional Networks for Large-Scale Image Recognition 2014 Karen Simonyan
Andrew Zisserman
3
+ PDF Chat A Style-Based Generator Architecture for Generative Adversarial Networks 2019 Tero Karras
Samuli Laine
Timo Aila
2
+ PDF Chat Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks 2017 Jun-Yan Zhu
Taesung Park
Phillip Isola
Alexei A. Efros
2
+ PDF Chat Image-to-Image Translation with Conditional Adversarial Networks 2017 Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
2
+ InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets 2016 Xi Chen
Yan Duan
Rein Houthooft
John Schulman
Ilya Sutskever
Pieter Abbeel
2
+ Improved Techniques for Training GANs 2016 Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
2
+ PDF Chat Discriminative sparsity for Sonar ATR 2015 John McKay
Raghu G. Raj
Vishal Monga
Jason Isaacs
2
+ PDF Chat Localized dictionary design for geometrically robust sonar ATR 2016 John McKay
Vishal Monga
Raghu G. Raj
2
+ GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium 2017 Martin Heusel
Hubert Ramsauer
Thomas Unterthiner
Bernhard Nessler
Sepp Hochreiter
2
+ 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
2
+ PDF Chat Perceptual Losses for Real-Time Style Transfer and Super-Resolution 2016 Justin Johnson
Alexandre Alahi
Li Fei-Fei
2
+ Conditional Generative Adversarial Nets 2014 Mehdi Mirza
Simon Osindero
2
+ Understanding Neural Networks Through Deep Visualization 2015 Jason Yosinski
Jeff Clune
Anh Mai Nguyen
Thomas J. Fuchs
Hod Lipson
2
+ Iterative Convex Refinement for Sparse Recovery 2015 Hojjat Seyed Mousavi
Vishal Monga
Trac D. Tran
2
+ Large Scale GAN Training for High Fidelity Natural Image Synthesis 2018 Andrew Brock
Jeff Donahue
Karen Simonyan
2
+ Deep Learning from Shallow Dives: Sonar Image Generation and Training for Underwater Object Detection 2018 Sejin Lee
Byungjae Park
Ayoung Kim
2
+ GAN Dissection: Visualizing and Understanding Generative Adversarial Networks 2018 David Bau
Jun-Yan Zhu
Hendrik Strobelt
Bolei Zhou
Joshua B. Tenenbaum
William T. Freeman
Antonio Torralba
2
+ The RADON TRANSFORM and LOCAL TOMOGRAPHY 2020 А. Г. Рамм
Alexander Katsevich
2
+ Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks 2015 Alec Radford
Luke Metz
Soumith Chintala
2
+ PDF Chat DFDL: Discriminative feature-oriented dictionary learning for histopathological image classification 2015 Tiep H. Vu
Hojjat Seyed Mousavi
Vishal Monga
U. K. Arvind Rao
Ganesh Rao
2
+ Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning 2015 Yarin Gal
Zoubin Ghahramani
1
+ GAN Dissection: Visualizing and Understanding Generative Adversarial Networks 2018 David Bau
Jun-Yan Zhu
Hendrik Strobelt
Bolei Zhou
Joshua B. Tenenbaum
William T. Freeman
Antonio Torralba
1
+ PDF Chat Dropout Improves Recurrent Neural Networks for Handwriting Recognition 2014 Vu Pham
Théodore Bluche
Christopher Kermorvant
Jérôme Louradour
1
+ An Interior-Point Method for Large-Scale -Regularized Least Squares 2007 Seung-Jean Kim
Kwangmoo Koh
Michael Lustig
Stephen Boyd
Dimitry Gorinevsky
1
+ PDF Chat FaceNet: A unified embedding for face recognition and clustering 2015 Florian Schroff
Dmitry Kalenichenko
James Philbin
1
+ PDF Chat Stochastic approximation for Monte Carlo optimization 1986 Peter W. Glynn
1
+ Progressive Growing of GANs for Improved Quality, Stability, and Variation 2017 Tero Karras
Timo Aila
Samuli Laine
Jaakko Lehtinen
1
+ Improved Training of Wasserstein GANs 2017 Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
1
+ Adversarial Audio Synthesis 2018 Chris Donahue
Julian McAuley
Miller Puckette
1
+ GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium 2017 Martin Heusel
Hubert Ramsauer
Thomas Unterthiner
Bernhard Nessler
Sepp Hochreiter
1
+ ICR: Iterative Convex Refinement for Sparse Signal Recovery Using Spike and Slab Priors. 2015 Hojjat Seyed Mousavi
Vishal Monga
Trac D. Tran
1
+ PDF Chat Histopathological Image Classification Using Discriminative Feature-Oriented Dictionary Learning 2015 Tiep H. Vu
Hojjat Seyed Mousavi
Vishal Monga
Ganesh Rao
U. K. Arvind Rao
1
+ PDF Chat Spike and slab variable selection: Frequentist and Bayesian strategies 2005 Hemant Ishwaran
J. Sunil Rao
1
+ Stochastic approximation for Monte Carlo optimization (1986) 1986 Peter W. Glynn
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 A Frame Theoretic Approach to the Nonuniform Fast Fourier Transform 2014 Anne Gelb
Guohui Song
1
+ PDF Chat Approximating the inverse frame operator from localized frames 2012 Guohui Song
Anne Gelb
1
+ For most large underdetermined systems of linear equations the minimal 𝓁<sub>1</sub>‐norm solution is also the sparsest solution 2006 David L. Donoho
1
+ PDF Chat The Kolmogorov-Smirnov, Cramer-von Mises Tests 1957 D. A. Darling
1
+ PDF Chat A Survey of Sparse Representation: Algorithms and Applications 2015 Zheng Zhang
Yong Xu
Jian Yang
Xuelong Li
David Zhang
1
+ PDF Chat SMOTE: Synthetic Minority Over-sampling Technique 2002 Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Philip Kegelmeyer
1
+ PDF Chat Graph-based classification of multiple observation sets 2010 Effrosyni Kokiopoulou
Pascal Frossard
1
+ CoSaMP: Iterative signal recovery from incomplete and inaccurate samples 2008 Deanna Needell
Joel A. Tropp
1
+ CNN-RNN: A Unified Framework for Multi-label Image Classification 2016 Jiang Wang
Yi Yang
Junhua Mao
Zhiheng Huang
Chang Huang
Wei Xu
1
+ PDF Chat Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-Tuning 2017 Weifeng Ge
Yizhou Yu
1
+ Progressive Growing of GANs for Improved Quality, Stability, and Variation 2017 Tero Karras
Timo Aila
Samuli Laine
Jaakko Lehtinen
1
+ Large Scale GAN Training for High Fidelity Natural Image Synthesis 2018 Andrew Brock
Jeff Donahue
Karen Simonyan
1
+ CNN Features off-the-shelf: an Astounding Baseline for Recognition 2014 Ali Sharif Razavian
Hossein Azizpour
Josephine Sullivan
Stefan Carlsson
1
+ Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks 2015 Alec Radford
Luke Metz
Soumith Chintala
1