Geoffrey French

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All published works

Action	Title	Year	Authors
+ PDF Chat	Virtual Adversarial Training in Feature Space to Improve Unsupervised Video Domain Adaptation	2021	Artjoms Gorpincenko Geoffrey French Michał Mackiewicz
+ PDF Chat	Improving Automated Sonar Video Analysis to Notify About Jellyfish Blooms	2020	Artjoms Gorpincenko Geoffrey French Peter A. Knight Mike Challiss Michał Mackiewicz
+	Virtual Adversarial Training in Feature Space to Improve Unsupervised Video Domain Adaptation	2020	Artjoms Gorpincenko Geoffrey French Michał Mackiewicz
+	Virtual Adversarial Training in Feature Space to Improve Unsupervised Video Domain Adaptation	2020	Artjoms Gorpincenko Geoffrey French Michał Mackiewicz
+	Using Deep Learning to Count Albatrosses from Space	2019	Ellen Bowler Peter T. Fretwell Geoffrey French Michał Mackiewicz
+ PDF Chat	Using Deep Learning To Count Albatrosses From Space	2019	Ellen Bowler Peter T. Fretwell Geoffrey French Michał Mackiewicz
+	Consistency regularization and CutMix for semi-supervised semantic segmentation.	2019	Geoffrey French Timo Aila Samuli Laine Michał Mackiewicz Graham D. Finlayson
+	Using Deep Learning to Count Albatrosses from Space	2019	Ellen Bowler Peter T. Fretwell Geoffrey French Michał Mackiewicz
+	Self-ensembling for domain adaptation.	2017	Geoffrey French Michał Mackiewicz Mark Fisher
+	Self-ensembling for visual domain adaptation	2017	Geoffrey French Michał Mackiewicz Mark Fisher
+	Self-ensembling for visual domain adaptation	2017	Geoffrey French Michał Mackiewicz Mark Fisher

Common Coauthors

Coauthor	Papers Together
Michał Mackiewicz	11
Artjoms Gorpincenko	4
Mark Fisher	3
Ellen Bowler	3
Peter T. Fretwell	3
Graham D. Finlayson	1
Mike Challiss	1
Timo Aila	1
Samuli Laine	1
Peter A. Knight	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Unsupervised Domain Adaptation by Backpropagation	2014	Yaroslav Ganin Victor Lempitsky	4
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	3
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+	Self-ensembling for visual domain adaptation	2017	Geoffrey French Michał Mackiewicz Mark Fisher	3
+ PDF Chat	Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning	2018	Takeru Miyato Shin‐ichi Maeda Masanori Koyama Shin Ishii	2
+ PDF Chat	Temporal Attentive Alignment for Large-Scale Video Domain Adaptation	2019	Min-Hung Chen Zsolt Kira Ghassan AlRegib Jae-Kwon Yoo Ruxin Chen Jian Zheng	2
+ PDF Chat	CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features	2019	Sangdoo Yun Dongyoon Han Sanghyuk Chun Seong Joon Oh Youngjoon Yoo Junsuk Choe	2
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	2
+	FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence	2020	Kihyuk Sohn David Berthelot Chun‐Liang Li Zizhao Zhang Nicholas Carlini Ekin D. Cubuk А.В. Куракин Han Zhang Colin Raffel	2
+	Learning Latent Sub-events in Activity Videos Using Temporal Attention Filters	2016	AJ Piergiovanni Chenyou Fan Michael S. Ryoo	2
+ PDF Chat	Hierarchical Video Frame Sequence Representation with Deep Convolutional Graph Network	2019	Feng Mao Xiang Wu Hui Xue Rong Zhang	2
+	Improving predictive inference under covariate shift by weighting the log-likelihood function	2000	Hidetoshi Shimodaira	2
+	Unsupervised Domain Adaptation by Backpropagation	2014	Yaroslav Ganin Victor Lempitsky	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+	mixup: Beyond Empirical Risk Minimization	2017	Hongyi Zhang Moustapha Cissé Yann Dauphin David López-Paz	2
+	Virtual Mixup Training for Unsupervised Domain Adaptation	2019	Xudong Mao Yun Ma Zhenguo Yang Yangbin Chen Qing Li	2
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	2
+	Realistic Evaluation of Deep Semi-Supervised Learning Algorithms	2018	Avital Oliver Augustus Odena Colin Raffel Ekin D. Cubuk Ian Goodfellow	2
+	Realistic Evaluation of Deep Semi-Supervised Learning Algorithms.	2018	Avital Oliver Augustus Odena Colin Raffel Ekin D. Cubuk Ian Goodfellow	1
+	YOLOv3: An Incremental Improvement.	2018	Joseph Redmon Ali Farhadi	1
+	Invariant Information Distillation for Unsupervised Image Segmentation and Clustering	2018	Xu Ji João F. Henriques Andrea Vedaldi	1
+	Large Scale GAN Training for High Fidelity Natural Image Synthesis	2018	Andrew Brock Jeff Donahue Karen Simonyan	1
+	From source to target and back: symmetric bi-directional adaptive GAN	2017	Paolo Russo Fabio Maria Carlucci Tatiana Tommasi Barbara Caputo	1
+	Asymmetric Tri-training for Unsupervised Domain Adaptation	2017	Kuniaki Saito Yoshitaka Ushiku Tatsuya Harada	1
+	Adversarial Discriminative Domain Adaptation	2017	Eric Tzeng Judy Hoffman Kate Saenko Trevor Darrell	1
+	Generate To Adapt: Aligning Domains using Generative Adversarial Networks	2017	Swami Sankaranarayanan Yogesh Balaji Carlos D. Castillo Rama Chellappa	1
+	Learning Transferable Features with Deep Adaptation Networks	2015	Mingsheng Long Yue Cao Jianmin Wang Michael I. Jordan	1
+	Temporal Ensembling for Semi-Supervised Learning	2016	Samuli Laine Timo Aila	1
+	Large Scale GAN Training for High Fidelity Natural Image Synthesis	2018	Andrew Brock Jeff Donahue Karen Simonyan	1
+	Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results	2017	Antti Tarvainen Harri Valpola	1
+	Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks	2015	Shaoqing Ren Kaiming He Ross Girshick Jian Sun	1
+	Associative Domain Adaptation	2017	Philip Haeusser Thomas Frerix Alexander Mordvintsev Daniel Cremers	1
+ PDF Chat	A Style-Based Generator Architecture for Generative Adversarial Networks	2019	Tero Karras Samuli Laine Timo Aila	1
+ PDF Chat	Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks	2017	Jun-Yan Zhu Taesung Park Phillip Isola Alexei A. Efros	1
+ PDF Chat	MoCoGAN: Decomposing Motion and Content for Video Generation	2018	Sergey Tulyakov Ming-Yu Liu Xiaodong Yang Jan Kautz	1
+ PDF Chat	Focal Loss for Dense Object Detection	2017	Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Dollár	1
+	mixup: Beyond Empirical Risk Minimization	2017	Hongyi Zhang Moustapha Cissé Yann Dauphin David López-Paz	1
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	1
+ PDF Chat	Learning from Simulated and Unsupervised Images through Adversarial Training	2017	Ashish Shrivastava Tomas Pfister Oncel Tuzel Joshua M. Susskind Wen-Da Wang Russell Y. Webb	1
+	SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation	2017	Vijay Badrinarayanan A. C. Kendall Roberto Cipolla	1
+	Analyzing and Improving the Image Quality of StyleGAN	2019	Tero Karras Samuli Laine Miika Aittala Janne Hellsten Jaakko Lehtinen Timo Aila	1
+ PDF Chat	Analyzing and Improving the Image Quality of StyleGAN	2020	Tero Karras Samuli Laine Miika Aittala Janne Hellsten Jaakko Lehtinen Timo Aila	1
+ PDF Chat	Deep Semi-supervised Segmentation with Weight-Averaged Consistency Targets	2018	Christian S. Perone Julien Cohen‐Adad	1
+ PDF Chat	A Style-Based Generator Architecture for Generative Adversarial Networks	2020	Tero Karras Samuli Laine Timo Aila	1
+	YOLOv3: An Incremental Improvement	2018	Joseph Redmon Ali Farhadi	1
+	Progressive Growing of GANs for Improved Quality, Stability, and Variation	2017	Tero Karras Timo Aila Samuli Laine Jaakko Lehtinen	1
+	Deep Domain Confusion: Maximizing for Domain Invariance	2014	Eric Tzeng Judy Hoffman Ning Zhang Kate Saenko Trevor Darrell	1
+	Generative Adversarial Networks	2014	Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville Yoshua Bengio	1
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	1
+	SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation	2015	Vijay Badrinarayanan Alex Kendall Roberto Cipolla	1