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Asynchronous Single-Photon 3D Imaging
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2019
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Anant Gupta
Atul Ingle
Mohit Gupta
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8
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High Flux Passive Imaging With Single-Photon Sensors
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2019
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Atul Ingle
Andreas Velten
Mohit Gupta
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6
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Bits From Photons: Oversampled Image Acquisition Using Binary Poisson Statistics
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2011
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Feng Yang
Y. M. Lu
Luciano Sbaiz
Martin Vetterli
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2020
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Kazuhiro Morimoto
Andrei Ardelean
Ming-Lo Wu
Arin Can Ülkü
Ivan Michel Antolović
Claudio Bruschini
Edoardo Charbon
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Sub-picosecond photon-efficient 3D imaging using single-photon sensors
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2018
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Felix Heide
Steven Diamond
David B. Lindell
Gordon Wetzstein
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5
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Megapixel photon-counting color imaging using quanta image sensor
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2019
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Abhiram Gnanasambandam
Omar A. Elgendy
Jiaju Ma
Stanley H. Chan
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5
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Signal Processing Based Pile-up Compensation for Gated Single-Photon Avalanche Diodes
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2018
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Adithya Pediredla
Alberto Tosi
Mauro Buttafava
Aswin C. Sankaranarayanan
Ashok Veeraraghavan
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4
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Photon-Flooded Single-Photon 3D Cameras
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2019
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Anant Gupta
Atul Ingle
Andreas Velten
Mohit Gupta
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4
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Dead Time Compensation for High-Flux Ranging
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2019
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Joshua Rapp
Yanting Ma
Robin M. A. Dawson
Vivek K Goyal
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Quanta burst photography
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2020
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Sizhuo Ma
Shantanu Sen Gupta
Arin Can Ülkü
Claudio Bruschini
Edoardo Charbon
Mohit Gupta
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Fluorescence decay data analysis correcting for detector pulse pile-up at very high count rates
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2018
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Matthias Patting
Paja Reisch
Marcus Sackrow
Rhys Dowler
Marcelle Koenig
Michael Wahl
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Burst Denoising with Kernel Prediction Networks
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2018
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Ben Mildenhall
Jonathan T. Barron
Jiawen Chen
Dillon Sharlet
Ren Ng
Robert E. Carroll
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A Few Photons Among Many: Unmixing Signal and Noise for Photon-Efficient Active Imaging
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2017
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Joshua Rapp
Vivek K Goyal
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Adversarial examples in the physical world
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Ian Goodfellow
Samy Bengio
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On the Structure, Covering, and Learning of Poisson Multinomial Distributions
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Constantinos Daskalakis
Gautam Kamath
Christos Tzamos
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SciPy 1.0: fundamental algorithms for scientific computing in Python
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2020
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Pauli Virtanen
Ralf Gommers
Travis E. Oliphant
Matt Haberland
Tyler Reddy
David Cournapeau
Evgeni Burovski
Pearu Peterson
Warren Weckesser
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PyTorch: An Imperative Style, High-Performance Deep Learning Library
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2019
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Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James T. Bradbury
Gregory Chanan
Trevor Killeen
Zeming Lin
Natalia Gimelshein
Luca Antiga
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Image Classification in the Dark Using Quanta Image Sensors
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2020
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Abhiram Gnanasambandam
Stanley H. Chan
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3D Scene Inference from Transient Histograms
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2022
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Sacha Jungerman
Atul Ingle
Yin Li
Mohit Gupta
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Tackling 3D ToF Artifacts Through Learning and the FLAT Dataset
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2018
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Qi Guo
Iuri Frosio
Orazio Gallo
Todd Zickler
Jan Kautz
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Very Power Efficient Neural Time-of-Flight
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2020
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Yan Chen
Jimmy Ren
Xuanye Cheng
Keyuan Qian
Luyang Wang
Jinwei Gu
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Adversarial T-Shirt! Evading Person Detectors in a Physical World
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2020
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Kaidi Xu
Gaoyuan Zhang
Sijia Liu
Quanfu Fan
Mengshu Sun
Hongge Chen
Pin‐Yu Chen
Yanzhi Wang
Xue Lin
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2
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Computational time-of-flight diffuse optical tomography
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2019
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Ashley Lyons
Francesco Tonolini
Alessandro Boccolini
Audrey Repetti
Robert Henderson
Yves Wiaux
Daniele Faccio
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DeepToF
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2017
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Julio Marco
Quercus Hernández
Adolfo Muñoz
Yue Dong
Adrián Jarabo
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Xin Tong
Diego Gutiérrez
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Handheld mobile photography in very low light
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2019
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Orly Liba
Kiran Murthy
Yun‐Ta Tsai
Tim Brooks
Tianfan Xue
Nikhil Karnad
Qiurui He
Jonathan T. Barron
Dillon Sharlet
Ryan Geiss
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2
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Contact Anticipation for Physical Human–Robot Interaction with Robotic Manipulators using Onboard Proximity Sensors
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2021
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Caleb Escobedo
Matthew Strong
Mary Etta West
Ander Aramburu
Alessandro Roncone
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2
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Deep End-to-End Alignment and Refinement for Time-of-Flight RGB-D Module
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2019
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Di Qiu
Jiahao Pang
Wenxiu Sun
C.G. Yang
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Recent advances in transient imaging: A computer graphics and vision perspective
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2017
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Belén Masiá
Julio Marco
Diego Gutiérrez
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Evasion Attacks against Machine Learning at Test Time
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2013
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Igino Corona
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Bayesian Time-of-Flight for Realtime Shape, Illumination and Albedo
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2016
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Amit Adam
Christoph Dann
Omer Yair
Shai Mazor
Sebastian Nowozin
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PyTorch: An Imperative Style, High-Performance Deep Learning Library
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2019
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Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
Gregory Chanan
Trevor Killeen
Zeming Lin
Natalia Gimelshein
Luca Antiga
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Synthesizing Robust Adversarial Examples
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2017
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Logan Engstrom
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Deep Residual Learning for Image Recognition
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2016
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Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
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MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
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2017
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Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
Marco Andreetto
Hartwig Adam
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Geometric Models of Rolling-Shutter Cameras
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Towards Evaluating the Robustness of Neural Networks
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2017
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Nicholas Carlini
David Wagner
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The Limitations of Deep Learning in Adversarial Settings
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Patrick McDaniel
Somesh Jha
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UAV-Based Autonomous Image Acquisition with Multi-view Stereo Quality Assurance by Confidence Prediction
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2016
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Christian Mostegel
Markus Rumpler
Friedrich Fraundorfer
Horst Bischof
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Dirty Pixels: Optimizing Image Classification Architectures for Raw Sensor Data
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Vincent Sitzmann
Stephen Boyd
Gordon Wetzstein
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Continuous control with deep reinforcement learning
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Jonathan J. Hunt
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Transferable Recognition-Aware Image Processing
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Tinghui Zhou
Hung-Ju Wang
Zhiqiang Shen
Bingyi Kang
Evan Shelhamer
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Real-time 3D reconstruction from single-photon lidar data using plug-and-play point cloud denoisers
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2019
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Julián Tachella
Yoann Altmann
Nicolas Mellado
Aongus McCarthy
Rachael Tobin
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Towards Vision-Based Deep Reinforcement Learning for Robotic Motion Control
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Jürgen Leitner
Michael Milford
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Connecting Image Denoising and High-Level Vision Tasks via Deep Learning
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2020
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Ding Liu
Bihan Wen
Jianbo Jiao
Xianming Liu
Zhangyang Wang
Thomas S. Huang
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Probability and Random Processes
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Handheld multi-frame super-resolution
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Ignacio Garcia‐Dorado
Manfred Ernst
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C-RNN-GAN: Continuous recurrent neural networks with adversarial training
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Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields
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Tomas Simon
Shih-En Wei
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Learning Fully Convolutional Networks for Iterative Non-blind Deconvolution
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Jiawei Zhang
Jinshan Pan
Wei‐Sheng Lai
Rynson W. H. Lau
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