Olivier Pauly

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All published works

Action	Title	Year	Authors
+	An Annotation Saved is an Annotation Earned: Using Fully Synthetic Training for Object Instance Detection	2019	Stefan Hinterstoißer Olivier Pauly Hauke Heibel Martina Marek Martin Bokeloh
+ PDF Chat	3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes	2018	Siqi Liu Daguang Xu S. Kevin Zhou Olivier Pauly Saša Grbić Thomas Mertelmeier Julia Wicklein Anna Jerebko Weidong Cai Dorin Comaniciu
+	3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes	2017	Siqi Liu Daguang Xu Shiwei Zhou Thomas Mertelmeier Julia Wicklein Anna Jerebko Saša Grbić Olivier Pauly Weidong Cai Dorin Comaniciu

Common Coauthors

Coauthor	Papers Together
Dorin Comaniciu	2
Weidong Cai	2
Thomas Mertelmeier	2
Anna Jerebko	2
Saša Grbić	2
Daguang Xu	2
Julia Wicklein	2
Martina Marek	1
Siqi Liu	1
Shiwei Zhou	1
S. Kevin Zhou	1
Stefan Hinterstoißer	1
Hauke Heibel	1
Martin Bokeloh	1
Siqi Liu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views	2015	Hao Su Charles R. Qi Yangyan Li Leonidas Guibas	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	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+ PDF Chat	Beyond Sharing Weights for Deep Domain Adaptation	2018	Artem Rozantsev Mathieu Salzmann Pascal Fua	1
+ PDF Chat	How Useful Is Photo-Realistic Rendering for Visual Learning?	2016	Yair Movshovitz-Attias Takeo Kanade Yaser Sheikh	1
+ PDF Chat	Synthetic Data for Text Localisation in Natural Images	2016	Ankush Gupta Andrea Vedaldi Andrew Zisserman	1
+	R-FCN: Object Detection via Region-based Fully Convolutional Networks	2016	Jifeng Dai Li Yi Kaiming He Jian Sun	1
+ PDF Chat	3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation	2016	Özgün Çiçek Ahmed Abdulkadir Soeren S. Lienkamp Thomas Brox Olaf Ronneberger	1
+ PDF Chat	Playing for Data: Ground Truth from Computer Games	2016	Stephan R. Richter Vibhav Vineet Stefan Roth Vladlen Koltun	1
+	Domain Separation Networks	2016	Konstantinos Bousmalis George Trigeorgis Nathan Silberman Dilip Krishnan Dumitru Erhan	1
+	Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?	2016	Matthew Johnson‐Roberson Charles Barto Rounak Mehta Sharath Nittur Sridhar Karl Rosaen Ram Vasudevan	1
+ PDF Chat	Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors	2017	Jonathan Huang Vivek Rathod Chen Sun Menglong Zhu Anoop Korattikara Alireza Fathi Ian Fischer Zbigniew Wojna Yang Song Sergio Guadarrama	1
+ PDF Chat	Pyramid Scene Parsing Network	2017	Hengshuang Zhao Jianping Shi Xiaojuan Qi Xiaogang Wang Jiaya Jia	1
+ PDF Chat	YOLO9000: Better, Faster, Stronger	2017	Joseph Redmon Ali Farhadi	1
+ PDF Chat	Learning from Synthetic Humans	2017	Gül Varol Javier Romero Xavier Martín Naureen Mahmood Michael J. Black Ivan Laptev Cordelia Schmid	1
+ PDF Chat	Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks	2017	Konstantinos Bousmalis Nathan Silberman David Dohan Dumitru Erhan Dilip Krishnan	1
+ PDF Chat	Large Kernel Matters — Improve Semantic Segmentation by Global Convolutional Network	2017	Chao Peng Xiangyu Zhang Gang Yu Guiming Luo Jian Sun	1
+ PDF Chat	BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using Depth	2017	Mahdi Rad Vincent Lepetit	1
+ PDF Chat	A self-supervised learning system for object detection using physics simulation and multi-view pose estimation	2017	Chaitanya Mitash Kostas E. Bekris Abdeslam Boularias	1
+ PDF Chat	Domain randomization for transferring deep neural networks from simulation to the real world	2017	Josh Tobin Rachel Fong Alex Ray Jonas Schneider Wojciech Zaremba Pieter Abbeel	1
+	Object Detection Using Deep CNNs Trained on Synthetic Images	2017	Param Rajpura Hristo Bojinov Ravi S. Hegde	1
+	Focal Loss for Dense Object Detection	2017	Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Dollár	1
+	Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection	2017	Debidatta Dwibedi Ishan Misra Martial Hebert	1
+ PDF Chat	Automatic Brain Tumor Segmentation Using Cascaded Anisotropic Convolutional Neural Networks	2018	Guotai Wang Wenqi Li Sébastien Ourselin Tom Vercauteren	1
+	H-DenseUNet: Hybrid Densely Connected UNet for Liver and Liver Tumor Segmentation from CT Volumes	2017	Xiaomeng Li Hao Chen Xiaojuan Qi Qi Dou Chi‐Wing Fu Pheng‐Ann Heng	1
+	SSD-6D: Making RGB-based 3D detection and 6D pose estimation great again	2017	Wadim Kehl Fabian Manhardt Federico Tombari Slobodan Ilić Nassir Navab	1
+	Transfer Learning From Synthetic To Real Images Using Variational Autoencoders For Precise Position Detection	2018	Tadanobu Inoue Subhajit Chaudhury Giovanni De Magistris Sakyasingha Dasgupta	1
+	Applying Domain Randomization to Synthetic Data for Object Category Detection	2018	João Borrego Atabak Dehban Rui Figueiredo Plínio Moreno Alexandre Bernardino José Santos-Victor	1
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	1
+	3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation	2016	Özgün Çiçek Ahmed Abdulkadir Soeren S. Lienkamp Thomas Brox Olaf Ronneberger	1
+	Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks	2015	Shaoqing Ren Kaiming He Ross Girshick Jian Sun	1
+ PDF Chat	Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization	2018	Jonathan Tremblay Aayush Prakash David Acuna Mark Brophy Varun Jampani Cem Anil Thang To Eric Cameracci Shaad Boochoon Stan Birchfield	1
+	Synthesizing Training Data for Object Detection in Indoor Scenes	2017	Georgios Georgakis Arsalan Mousavian Alexander Berg Jana Košecká	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
+ PDF Chat	H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes	2018	Xiaomeng Li Hao Chen Xiaojuan Qi Qi Dou Chi‐Wing Fu Pheng‐Ann Heng	1
+ PDF Chat	On Pre-trained Image Features and Synthetic Images for Deep Learning	2019	Stefan Hinterstoißer Vincent Lepetit Paul Wohlhart Kurt Konolige	1
+ PDF Chat	Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning	2017	Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi	1
+ PDF Chat	Structured Domain Randomization: Bridging the Reality Gap by Context-Aware Synthetic Data	2019	Aayush Prakash Shaad Boochoon Mark Brophy David Acuna Eric Cameracci Gavriel State Omer Shapira Stan Birchfield	1
+ PDF Chat	Automatic Segmentation of MR Brain Images With a Convolutional Neural Network	2016	Pim Moeskops Max A. Viergever Adriënne M. Mendrik Linda S. de Vries Manon J.N.L. Benders Ivana Išgum	1
+	SSD: Single Shot MultiBox Detector	2016	Wei Liu Dragomir Anguelov Dumitru Erhan Christian Szegedy Scott Reed Cheng-Yang Fu Alexander C. Berg	1