Keita Takahashi

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All published works
Action Title Year Authors
+ Holographic phase retrieval via Wirtinger flow: Cartesian form with auxiliary amplitude 2024 Ittetsu Uchiyama
Chihiro Tsutake
Keita Takahashi
Toshiaki Fujii
+ PDF Chat Holographic Phase Retrieval via Wirtinger Flow: Cartesian Form with Auxiliary Amplitude 2024 Ittetsu Uchiyama
Chihiro Tsutake
Keita Takahashi
Toshiaki Fujii
+ PDF Chat Time-Efficient Light-Field Acquisition Using Coded Aperture and Events 2024 Shuji Habuchi
Keita Takahashi
Chihiro Tsutake
Toshiaki Fujii
Hajime Nagahara
+ PDF Chat [Paper] Compressing Sign Information in DCT-based Image Coding via Deep Sign Retrieval 2023 Kei Suzuki
Chihiro Tsutake
Keita Takahashi
Toshiaki Fujii
+ PDF Chat Reconstructing Continuous Light Field From Single Coded Image 2023 Yuya Ishikawa
Keita Takahashi
Chihiro Tsutake
Toshiaki Fujii
+ PDF Chat Acquiring a Dynamic Light Field through a Single-Shot Coded Image 2022 Ryoya Mizuno
Keita Takahashi
Michitaka Yoshida
Chihiro Tsutake
Toshiaki Fujii
Hajime Nagahara
+ Compressing Sign Information in DCT-based Image Coding via Deep Sign Retrieval 2022 Kei Suzuki
Chihiro Tsutake
Keita Takahashi
Toshiaki Fujii
+ PDF Chat An Efficient Compression Method For Sign Information Of DCT Coefficients Via Sign Retrieval 2021 Chihiro Tsutake
Keita Takahashi
Toshiaki Fujii
+ Modeling and Numerical Analysis of Disclination on the Basis of Riemann-Cartan Manifold 2021 Keita Takahashi
Shunsuke Kobayashi
Ryuichi Tarumi
+ PDF Chat Adversarial Patch Attacks on Monocular Depth Estimation Networks 2020 Koichiro Yamanaka
Ryutaroh Matsumoto
Keita Takahashi
Toshiaki Fujii
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network 2016 Wenzhe Shi
José Caballero
Ferenc Huszár
Johannes Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
3
+ Phase retrieval from very few measurements 2014 Matthew Fickus
Dustin G. Mixon
Aaron A. Nelson
Yang Wang
3
+ PhaseMax: Convex Phase Retrieval via Basis Pursuit 2018 Tom Goldstein
Christoph Studer
3
+ PDF Chat Image Super-Resolution Using Deep Convolutional Networks 2015 Chao Dong
Chen Change Loy
Kaiming He
Xiaoou Tang
2
+ PDF Chat Accurate Image Super-Resolution Using Very Deep Convolutional Networks 2016 Jiwon Kim
Jung Kwon Lee
Kyoung Mu Lee
2
+ PDF Chat Phase Retrieval via Matrix Completion 2015 Emmanuel J. Candès
Yonina C. Eldar
Thomas Strohmer
Vladislav Voroninski
2
+ PDF Chat Unsupervised Degradation Representation Learning for Blind Super-Resolution 2021 Longguang Wang
Yingqian Wang
Xiaoyu Dong
Qingyu Xu
Jungang Yang
Wei An
Yulan Guo
2
+ PDF Chat Learned Primal-Dual Reconstruction 2018 Jonas Adler
Ozan Öktem
2
+ PyTorch: An Imperative Style, High-Performance Deep Learning Library 2019 Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James T. Bradbury
Gregory Chanan
Trevor Killeen
Zeming Lin
Natalia Gimelshein
Luca Antiga
2
+ PDF Chat An Efficient Compression Method For Sign Information Of DCT Coefficients Via Sign Retrieval 2021 Chihiro Tsutake
Keita Takahashi
Toshiaki Fujii
2
+ PDF Chat Iterative Training of Neural Networks for Intra Prediction 2020 Thierry Dumas
Franck Galpin
Philippe Bordes
2
+ Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines 2019 Ben Mildenhall
Pratul P. Srinivasan
Rodrigo Ortiz-Cayon
Nima Khademi Kalantari
Ravi Ramamoorthi
Ren Ng
Abhishek Kar
2
+ PDF Chat EPINET: A Fully-Convolutional Neural Network Using Epipolar Geometry for Depth from Light Field Images 2018 Changha Shin
Hae‐Gon Jeon
Young-Jin Yoon
In So Kweon
Seon Joo Kim
2
+ Stereo Magnification: Learning View Synthesis using Multiplane Images 2018 Tinghui Zhou
Richard Tucker
John P. Flynn
Graham Fyffe
Noah Snavely
2
+ PDF Chat Learning to Synthesize a 4D RGBD Light Field from a Single Image 2017 Pratul P. Srinivasan
Tongzhou Wang
Ashwin Sreelal
Ravi Ramamoorthi
Ren Ng
2
+ A Note on Parseval's Theorem for Fourier Transforms 1931 G. H. Hardy
E. C. Titchmarsh
2
+ PDF Chat Learning Texture Transformer Network for Image Super-Resolution 2020 Fuzhi Yang
Huan Yang
Jianlong Fu
Hongtao Lu
Baining Guo
2
+ PDF Chat Densely Residual Laplacian Super-Resolution 2020 Saeed Anwar
Nick Barnes
2
+ PDF Chat Time-Multiplexed Coded Aperture Imaging: Learned Coded Aperture and Pixel Exposures for Compressive Imaging Systems 2021 Edwin Vargas
Julien Martel
Gordon Wetzstein
Henry Argüello
2
+ PDF Chat Die Grundlage der allgemeinen Relativitätstheorie 1916 Albert Einstein
2
+ PDF Chat Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network 2017 Christian Ledig
Lucas Theis
Ferenc Huszár
José Caballero
Andrew Cunningham
Alejandro Acosta
Andrew P. Aitken
Alykhan Tejani
Johannes Totz
Zehan Wang
2
+ PDF Chat 3D Ken Burns effect from a single image 2019 Simon Niklaus
Long Mai
Shuicheng Yan
Feng Liu
2
+ PDF Chat Quantization Guided JPEG Artifact Correction 2020 Max Ehrlich
Larry S. Davis
Ser-Nam Lim
Abhinav Shrivastava
2
+ PDF Chat SynSin: End-to-End View Synthesis From a Single Image 2020 Olivia Wiles
Georgia Gkioxari
Richard Szeliski
Justin Johnson
2
+ PDF Chat Single-View View Synthesis With Multiplane Images 2020 Richard Tucker
Noah Snavely
2
+ PDF Chat On Projection Algorithms for Solving Convex Feasibility Problems 1996 Heinz H. Bauschke
Jonathan M. Borwein
2
+ Synthesizing Robust Adversarial Examples 2017 Anish Athalye
Logan Engstrom
Andrew Ilyas
Kevin Kwok
1
+ Compressed sensing with coherent and redundant dictionaries 2010 Emmanuel J. Candès
Yonina C. Eldar
Deanna Needell
Paige Randall
1
+ NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles 2017 Jiajun Lu
Hussein Sibai
Evan Fabry
David Forsyth
1
+ PDF Chat Light field video capture using a learning-based hybrid imaging system 2017 Ting-Chun Wang
Jun-Yan Zhu
Nima Khademi Kalantari
Alexei A. Efros
Ravi Ramamoorthi
1
+ Explaining and Harnessing Adversarial Examples 2014 Ian Goodfellow
Jonathon Shlens
Christian Szegedy
1
+ PDF Chat Adversarial Examples for Semantic Segmentation and Object Detection 2017 Cihang Xie
Jianyu Wang
Zhishuai Zhang
Yuyin Zhou
Lingxi Xie
Alan Yuille
1
+ PDF Chat Semi-Supervised Deep Learning for Monocular Depth Map Prediction 2017 Yevhen Kuznietsov
Jörg Stückler
Bastian Leibe
1
+ Scikit-learn: Machine Learning in Python 2012 Fabián Pedregosa
Gaël Varoquaux
Alexandre Gramfort
Vincent Michel
Bertrand Thirion
Olivier Grisel
Mathieu Blondel
Peter Prettenhofer
Ron J. Weiss
Vincent Dubourg
1
+ PDF Chat Learning-based view synthesis for light field cameras 2016 Nima Khademi Kalantari
Ting-Chun Wang
Ravi Ramamoorthi
1
+ PDF Chat Unsupervised Monocular Depth Estimation with Left-Right Consistency 2017 Clément Godard
Oisin Mac Aodha
Gabriel Brostow
1
+ PDF Chat Fast Image Recovery Using Variable Splitting and Constrained Optimization 2010 Manya Afonso
José M. Bioucas‐Dias
Mário A. T. Figueiredo
1
+ PDF Chat Understanding deep image representations by inverting them 2015 Aravindh Mahendran
Andrea Vedaldi
1
+ Distilling the Knowledge in a Neural Network 2015 Geoffrey E. Hinton
Oriol Vinyals
Jay B. Dean
1
+ PDF Chat Densely Connected Convolutional Networks 2017 Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
1
+ PDF Chat Phase Retrieval Using Alternating Minimization 2015 Praneeth Netrapalli
Prateek Jain
Sujay Sanghavi
1
+ PDF Chat Universal Adversarial Perturbations Against Semantic Image Segmentation 2017 Jan Hendrik Metzen
Mummadi Chaithanya Kumar
Thomas Brox
Volker Fischer
1
+ Adversarial examples in the physical world 2016 Alexey Kurakin
Ian Goodfellow
Samy Bengio
1
+ PDF Chat Depth Transfer: Depth Extraction from Video Using Non-Parametric Sampling 2014 Kevin Karsch
Ce Liu
Sing Bing Kang
1
+ Precise Error Analysis of Regularized <inline-formula> <tex-math notation="LaTeX">$M$ </tex-math> </inline-formula>-Estimators in High Dimensions 2018 Christos Thrampoulidis
Ehsan Abbasi
Babak Hassibi
1
+ From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation 2019 Jin Han Lee
Myung Kyu Han
Dong Wook Ko
Il Hong Suh
1
+ PDF Chat Deep Ordinal Regression Network for Monocular Depth Estimation 2018 Huan Fu
Mingming Gong
Chaohui Wang
Kayhan Batmanghelich
Dacheng Tao
1
+ PDF Chat Compressive Light Field Reconstructions Using Deep Learning 2017 Mayank Gupta
Arjun Jauhari
Kuldeep Kulkarni
Suren Jayasuriya
Alyosha Molnar
Pavan Turaga
1
+ PDF Chat Adversarial Examples in the Physical World 2018 Alexey Kurakin
Ian Goodfellow
Samy Bengio
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