Learning Sensor Multiplexing Design through Back-propagation

23 May 2016

Papers citing "Learning Sensor Multiplexing Design through Back-propagation"

22 / 22 papers shown

Title
Latent Space Imaging Matheus Souza Yidan Zheng Kaizhang Kang Yogeshwar Nath Mishra Qiang Fu Wolfgang Heidrich 57 0 0 09 Jul 2024
SpectralZoom: Efficient Segmentation with an Adaptive Hyperspectral Camera Jackson Arnold Sophia Rossi Chloe Petrosino Ethan Mitchell Sanjeev J. Koppal 36 0 0 06 Jun 2024
Depolarized Holography with Polarization-multiplexing Metasurface Seung-Woo Nam Youngjin Kim Dong-Yon Kim Yoonchan Jeong 16 11 0 26 Sep 2023
Physics vs. Learned Priors: Rethinking Camera and Algorithm Design for Task-Specific Imaging Tzofi Klinghoffer S. Somasundaram Kushagra Tiwary Ramesh Raskar 21 8 0 21 Apr 2022
Learning Spatially Varying Pixel Exposures for Motion Deblurring Cindy M. Nguyen Julien N. P. Martel Gordon Wetzstein 14 16 0 14 Apr 2022
Computational Imaging and Artificial Intelligence: The Next Revolution of Mobile Vision J. Suo Weihang Zhang Jin Gong Xin Yuan D. Brady Qionghai Dai 43 23 0 18 Sep 2021
CodedStereo: Learned Phase Masks for Large Depth-of-field Stereo Shiyu Tan Yichen Wu Shoou-I Yu Ashok Veeraraghavan 28 16 0 09 Apr 2021
Time-Multiplexed Coded Aperture Imaging: Learned Coded Aperture and Pixel Exposures for Compressive Imaging Systems Edwin Vargas Julien N. P. Martel Gordon Wetzstein Henry Arguello 8 23 0 06 Apr 2021
SaccadeCam: Adaptive Visual Attention for Monocular Depth Sensing Brevin Tilmon S. Koppal MDE 30 5 0 24 Mar 2021
Digital Gimbal: End-to-end Deep Image Stabilization with Learnable Exposure Times Omer Dahary M. Jacoby A. Bronstein 11 5 0 08 Dec 2020
Polka Lines: Learning Structured Illumination and Reconstruction for Active Stereo Seung-Hwan Baek Felix Heide 3DV 14 28 0 26 Nov 2020
$Single-shot Hyperspectral-Depth Imaging with Learned Diffractive Optics$ Single-shot Hyperspectral-Depth Imaging with Learned Diffractive Optics Seung-Hwan Baek H. Ikoma D. S. Jeon Yuqi Li Wolfgang Heidrich Gordon Wetzstein Min H. Kim MDE 6 79 0 01 Sep 2020
Multi-objective and categorical global optimization of photonic structures based on ResNet generative neural networks Jiaqi Jiang Jonathan A. Fan 24 35 0 20 Jul 2020
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 11 520 0 12 May 2020
Physics-enhanced machine learning for virtual fluorescence microscopy Colin L. Cooke Fanjie Kong A. Chaware Kevin C Zhou Kanghyun Kim Rong Xu D. Ando Samuel J. Yang P. C. Konda R. Horstmeyer AI4CE 30 17 0 09 Apr 2020
Learning a Probabilistic Strategy for Computational Imaging Sensor Selection He Sun Adrian V. Dalca Katherine L. Bouman 20 15 0 23 Mar 2020
Rate-Adaptive Neural Networks for Spatial Multiplexers Suhas Lohit Rajhans Singh K. Kulkarni P. Turaga 13 17 0 08 Sep 2018
Convolutional neural networks that teach microscopes how to image R. Horstmeyer Richard Y. Chen Barbara Kappes B. Judkewitz 27 58 0 21 Sep 2017
Convolutional Neural Networks for Non-iterative Reconstruction of Compressively Sensed Images Suhas Lohit K. Kulkarni Ronan Kerviche P. Turaga A. Ashok 9 114 0 15 Aug 2017
Data Driven Coded Aperture Design for Depth Recovery Prasan A. Shedligeri S. Mohan Kaushik Mitra 27 14 0 29 May 2017
DeepBinaryMask: Learning a Binary Mask for Video Compressive Sensing Michael Iliadis L. Spinoulas Aggelos K. Katsaggelos 24 74 0 12 Jul 2016
Designing Deep Networks for Surface Normal Estimation Xinyu Wang David Fouhey Abhinav Gupta 3DV SSL 167 353 0 18 Nov 2014