Learning to See Through with Events

5 December 2022

Papers citing "Learning to See Through with Events"

28 / 28 papers shown

Title
Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks J. Hagenaars Federico Paredes-Valles Guido de Croon 63 139 0 03 Jun 2021
Event Enhanced High-Quality Image Recovery Bishan Wang Jingwei He Lei Yu Guisong Xia Wen Yang SupR 72 117 0 16 Jul 2020
Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks Chankyu Lee Adarsh Kosta A. Z. Zhu Kenneth Chaney Kostas Daniilidis Kaushik Roy 128 166 0 14 Mar 2020
DeOccNet: Learning to See Through Foreground Occlusions in Light Fields Yingqian Wang Tianhao Wu Jungang Yang Longguang Wang W. An Yulan Guo 40 64 0 10 Dec 2019
Towards Scalable, Efficient and Accurate Deep Spiking Neural Networks with Backward Residual Connections, Stochastic Softmax and Hybridization Priyadarshini Panda Sai Aparna Aketi Kaushik Roy 60 33 0 30 Oct 2019
High Speed and High Dynamic Range Video with an Event Camera Henri Rebecq René Ranftl V. Koltun Davide Scaramuzza 68 587 0 15 Jun 2019
Event-based Vision: A Survey Guillermo Gallego T. Delbruck Garrick Orchard Chiara Bartolozzi B. Taba ... Stefan Leutenegger Andrew J. Davison Jorg Conradt Kostas Daniilidis Davide Scaramuzza 91 1,801 0 17 Apr 2019
Events-to-Video: Bringing Modern Computer Vision to Event Cameras Henri Rebecq René Ranftl V. Koltun Davide Scaramuzza VGen 82 365 0 17 Apr 2019
Focus Is All You Need: Loss Functions For Event-based Vision Guillermo Gallego Mathias Gehrig Davide Scaramuzza 70 138 0 15 Apr 2019
Event-based High Dynamic Range Image and Very High Frame Rate Video Generation using Conditional Generative Adversarial Networks Mohammad Mostafavi Lin Wang Yo-Sung Ho Kuk-Jin Yoon VGen GAN 55 206 0 20 Nov 2018
Continuous-time Intensity Estimation Using Event Cameras C. Scheerlinck Nick Barnes Robert E. Mahony 78 203 0 01 Nov 2018
Direct Training for Spiking Neural Networks: Faster, Larger, Better Yujie Wu Lei Deng Guoqi Li Jun Zhu Luping Shi 76 656 0 16 Sep 2018
Asynchronous, Photometric Feature Tracking using Events and Frames Daniel Gehrig Henri Rebecq Guillermo Gallego Davide Scaramuzza 92 259 0 25 Jul 2018
A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and Optical Flow Estimation Guillermo Gallego Henri Rebecq Davide Scaramuzza 69 331 0 04 Apr 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 377 11,877 0 11 Jan 2018
Ultimate SLAM? Combining Events, Images, and IMU for Robust Visual SLAM in HDR and High Speed Scenarios Antoni Rosinol Vidal Henri Rebecq Timo Horstschaefer Davide Scaramuzza 53 443 0 19 Sep 2017
Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks Yujie Wu Lei Deng Guoqi Li Jun Zhu Luping Shi 64 1,025 0 08 Jun 2017
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks Jun-Yan Zhu Taesung Park Phillip Isola Alexei A. Efros GAN 125 5,553 0 30 Mar 2017
Inverse Compositional Spatial Transformer Networks Chen-Hsuan Lin Simon Lucey 69 162 0 12 Dec 2016
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 333 8,130 0 13 Aug 2016
Real-Time Intensity-Image Reconstruction for Event Cameras Using Manifold Regularisation Christian Reinbacher Gottfried Munda Thomas Pock 59 202 0 21 Jul 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution Justin Johnson Alexandre Alahi Li Fei-Fei SupR 237 10,249 0 27 Mar 2016
Spatial Transformer Networks Max Jaderberg Karen Simonyan Andrew Zisserman Koray Kavukcuoglu 306 7,387 0 05 Jun 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 326 18,625 0 06 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,260 0 22 Dec 2014
Understanding Deep Image Representations by Inverting Them Aravindh Mahendran Andrea Vedaldi FAtt 126 1,965 0 26 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,386 0 04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,547 0 01 Sep 2014