Shuji Suzuki

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All published works

Action	Title	Year	Authors
+	A Scaling Law for Synthetic-to-Real Transfer: A Measure of Pre-Training.	2021	Hiroaki Mikami Kenji Fukumizu Shogo Murai Shuji Suzuki Yuta Kikuchi Taiji Suzuki Shin‐ichi Maeda Kohei Hayashi
+	A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your Pre-training Effective?	2021	Hiroaki Mikami Kenji Fukumizu Shogo Murai Shuji Suzuki Yuta Kikuchi Taiji Suzuki Shin‐ichi Maeda Kohei Hayashi
+ PDF Chat	An Inductive Transfer Learning Approach using Cycle-consistent Adversarial Domain Adaptation with Application to Brain Tumor Segmentation	2019	Yuta Tokuoka Shuji Suzuki Yohei Sugawara
+ PDF Chat	Sampling Techniques for Large-Scale Object Detection From Sparsely Annotated Objects	2019	Yusuke Niitani Takuya Akiba Tommi Kerola Toru Ogawa Shotaro Sano Shuji Suzuki
+	Chainer: A Deep Learning Framework for Accelerating the Research Cycle	2019	Seiya Tokui Ryosuke Okuta Takuya Akiba Yusuke Niitani Toru Ogawa Shunta Saito Shuji Suzuki Kota Uenishi Brian Vogel Hiroyuki Yamazaki Vincent
+ PDF Chat	Sampling Techniques for Large-Scale Object Detection from Sparsely Annotated Objects	2018	Yusuke Niitani Takuya Akiba Tommi Kerola Toru Ogawa Shotaro Sano Shuji Suzuki
+	Sampling Techniques for Large-Scale Object Detection from Sparsely Annotated Objects	2018	Yusuke Niitani Takuya Akiba Tommi Kerola Toru Ogawa Shotaro Sano Shuji Suzuki
+	ChainerMN: Scalable Distributed Deep Learning Framework	2017	Takuya Akiba Keisuke Fukuda Shuji Suzuki
+	Extremely Large Minibatch SGD: Training ResNet-50 on ImageNet in 15 Minutes	2017	Takuya Akiba Shuji Suzuki Keisuke Fukuda
+	Choice between Single-Response and Multichoice Tasks in Humans	2000	Shuji Suzuki

Common Coauthors

Coauthor	Papers Together
Takuya Akiba	6
Toru Ogawa	4
Yusuke Niitani	4
Shotaro Sano	3
Tommi Kerola	3
Keisuke Fukuda	2
Shogo Murai	2
Taiji Suzuki	2
Hiroaki Mikami	2
Shin‐ichi Maeda	2
Kohei Hayashi	2
Yuta Kikuchi	2
Kenji Fukumizu	2
Yohei Sugawara	1
Hiroyuki Yamazaki Vincent	1
Brian Vogel	1
Kota Uenishi	1
Ryosuke Okuta	1
Yuta Tokuoka	1
Shunta Saito	1
Seiya Tokui	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	5
+ PDF Chat	Feature Pyramid Networks for Object Detection	2017	Tsung-Yi Lin Piotr Dollár Ross Girshick Kaiming He Bharath Hariharan Serge Belongie	4
+ PDF Chat	Squeeze-and-Excitation Networks	2019	Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu	3
+	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	3
+	SSD: Single Shot MultiBox Detector	2016	Wei Liu Dragomir Anguelov Dumitru Erhan Christian Szegedy Scott Reed Cheng-Yang Fu Alexander C. Berg	3
+	ChainerMN: Scalable Distributed Deep Learning Framework	2017	Takuya Akiba Keisuke Fukuda Shuji Suzuki	3
+ PDF Chat	Transfer Learning by Ranking for Weakly Supervised Object Annotation	2012	Zhiyuan Shi Parthipan Siva Tony Xiang	2
+ PDF Chat	Part-Aware Fine-Grained Object Categorization Using Weakly Supervised Part Detection Network	2019	Yabin Zhang Kui Jia Zhixin Wang	2
+	Revisiting Distributed Synchronous SGD	2017	Jianmin Chen Rajat Monga Samy Bengio Rafał Józefowicz	2
+ PDF Chat	Cross-Domain Weakly-Supervised Object Detection Through Progressive Domain Adaptation	2018	Naoto Inoue Ryosuke Furuta Toshihiko Yamasaki Kiyoharu Aizawa	2
+	Soft Sampling for Robust Object Detection	2018	Zhe Wu Navaneeth Bodla Bharat Singh Mahyar Najibi Rama Chellappa Larry S. Davis	2
+ PDF Chat	Weakly Supervised Deep Detection Networks	2016	Hakan Bilen Andrea Vedaldi	2
+	ImageNet Training in Minutes	2017	Yang You Zhao Zhang Cho‐Jui Hsieh James Demmel Kurt Keutzer	2
+ PDF Chat	Focal Loss for Dense Object Detection	2018	Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Dollár	2
+ PDF Chat	CoupleNet: Coupling Global Structure with Local Parts for Object Detection	2017	Yousong Zhu Chaoyang Zhao Jinqiao Wang Xu Zhao Yi Wu Hanqing Lu	2
+	Solution for Large-Scale Hierarchical Object Detection Datasets with Incomplete Annotation and Data Imbalance	2018	Yuan Gao Xingyuan Bu Yang Hu Hui Shen Ti Bai Xubin Li Shilei Wen	2
+	Weakly- and Semi-Supervised Object Detection with Expectation-Maximization Algorithm	2017	Ziang Yan Jian Liang Weishen Pan Jin Li Changshui Zhang	2
+	OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks	2014	Pierre Sermanet David Eigen Xiang Zhang Michaël Mathieu Rob Fergus Yann LeCun	2
+ PDF Chat	Weakly Supervised Object Localization with Multi-Fold Multiple Instance Learning	2016	Ramazan Gökberk Cinbiş Jakob Verbeek Cordelia Schmid	2
+	MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems	2015	Tianqi Chen Mu Li Yutian Li Min Lin Naiyan Wang Minjie Wang Tianjun Xiao Bing Xu Chiyuan Zhang Zheng Zhang	2
+ 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
+	Rethinking Atrous Convolution for Semantic Image Segmentation	2017	Liang-Chieh Chen George Papandreou Florian Schroff Hartwig Adam	1
+ PDF Chat	Automatic Brain Tumor Segmentation Using Cascaded Anisotropic Convolutional Neural Networks	2018	Guotai Wang Wenqi Li Sébastien Ourselin Tom Vercauteren	1
+ PDF Chat	Squeeze-and-Excitation Networks	2018	Jie Hu Li Shen Gang Sun	1
+	Pomegranate: fast and flexible probabilistic modeling in python	2017	Jacob Schreiber	1
+	Extremely Large Minibatch SGD: Training ResNet-50 on ImageNet in 15 Minutes	2017	Takuya Akiba Shuji Suzuki Keisuke Fukuda	1
+	W-Net: A Deep Model for Fully Unsupervised Image Segmentation	2017	Xide Xia Brian Kulis	1
+	Deep Learning Scaling is Predictable, Empirically	2017	Joel Hestness Sharan Narang Newsha Ardalani Gregory Diamos Heewoo Jun Hassan Kianinejad Md. Mostofa Ali Patwary Yang Yang Yanqi Zhou	1
+	Horovod: fast and easy distributed deep learning in TensorFlow	2018	Alexander Sergeev Mike Del Balso	1
+	YOLOv3: An Incremental Improvement.	2018	Joseph Redmon Ali Farhadi	1
+	Neural Tangent Kernel: Convergence and Generalization in Neural Networks	2018	Arthur Paul Jacot Franck Gabriel Clément Hongler	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
+ PDF Chat	The Open Images Dataset V4	2020	Alina Kuznetsova Hassan Rom Neil Alldrin Jasper Uijlings Ivan Krasin Jordi Pont-Tuset Shahab Kamali Stefan Popov Matteo Malloci Alexander Kolesnikov	1
+	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	1
+ PDF Chat	Task Driven Generative Modeling for Unsupervised Domain Adaptation: Application to X-ray Image Segmentation	2018	Yue Zhang Shun Miao Tommaso Mansi Rui Liao	1
+	ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness	2018	Robert Geirhos Patricia Rubisch Claudio Michaelis Matthias Bethge Felix A. Wichmann Wieland Brendel	1
+	Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks	2015	Shaoqing Ren Kaiming He Ross Girshick Jian Sun	1
+	The Cityscapes Dataset for Semantic Urban Scene Understanding	2016	Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele	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
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	1
+ PDF Chat	Revisiting Unreasonable Effectiveness of Data in Deep Learning Era	2017	Chen Sun Abhinav Shrivastava Saurabh Singh Abhinav Gupta	1
+ PDF Chat	V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation	2016	Fausto Milletarì Nassir Navab Seyed‐Ahmad Ahmadi	1
+ PDF Chat	You Only Look Once: Unified, Real-Time Object Detection	2016	Joseph Redmon Santosh Divvala Ross Girshick Ali Farhadi	1
+ PDF Chat	Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-Ray Segmentation	2018	Cheng Chen Qi Dou Hao Chen Pheng‐Ann Heng	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
+	Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks	2019	Sanjeev Arora Simon S. Du Wei Hu Zhiyuan Li Ruosong Wang	1
+	Mesh-TensorFlow: Deep Learning for Supercomputers	2018	Noam Shazeer Youlong Cheng Niki Parmar Dustin Tran Ashish Vaswani Penporn Koanantakool Peter Hawkins HyoukJoong Lee Mingsheng Hong Cliff Young	1
+ PDF Chat	Focal Loss for Dense Object Detection	2017	Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Dollár	1
+ PDF Chat	Training Region-Based Object Detectors with Online Hard Example Mining	2016	Abhinav Shrivastava Abhinav Gupta Ross Girshick	1
+	Spectrally-normalized margin bounds for neural networks	2017	Peter L. Bartlett Dylan J. Foster Matus Telgarsky	1