Attention-Based Generative Neural Image Compression on Solar Dynamics Observatory

12 October 2022

Ali Zafari

Atefeh Khoshkhahtinat

Papers citing "Attention-Based Generative Neural Image Compression on Solar Dynamics Observatory"

40 / 40 papers shown

Title
Information Maximization for Extreme Pose Face Recognition Mohammad Saeed Ebrahimi Saadabadi Sahar Rahimi Malakshan Sobhan Soleymani Moktari Mostofa Nasser M. Nasrabadi CVBM 53 5 0 07 Sep 2022
Exploring the Limits of Synthetic Creation of Solar EUV Images via Image-to-Image Translation Valentina Salvatelli L. F. G. dos Santos S. Bose Brad Neuberg Mark C. M. Cheung M. Janvier Meng Jin Y. Gal Atilim Güneş Baydin DiffM 13 8 0 19 Aug 2022
The Devil Is in the Details: Window-based Attention for Image Compression Renjie Zou Chunfeng Song Zhaoxiang Zhang ViT 32 215 0 16 Mar 2022
An Introduction to Neural Data Compression Yibo Yang Stephan Mandt Lucas Theis 46 118 0 14 Feb 2022
Multi-Expert Human Action Recognition with Hierarchical Super-Class Learning Hojat Asgarian Dehkordi Ali Soltani Nezhad Hossein Kashiani S. B. Shokouhi Ahmad Ayatollahi 48 13 0 13 Dec 2021
Morph Detection Enhanced by Structured Group Sparsity Poorya Aghdaie Baaria Chaudhary Sobhan Soleymani J. Dawson Nasser M. Nasrabadi CVBM 120 14 0 29 Nov 2021
High Resolution Solar Image Generation using Generative Adversarial Networks Ankan Dash J. Ye Guiling Wang 21 22 0 07 Jun 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin B. Guo ViT 341 21,175 0 25 Mar 2021
DTW-Merge: A Novel Data Augmentation Technique for Time Series Classification Mohammad Akyash Hoda Mohammadzade H. Behroozi AI4TS 60 7 0 01 Mar 2021
Multi-Channel Auto-Calibration for the Atmospheric Imaging Assembly using Machine Learning L. F. G. dos Santos S. Bose Valentina Salvatelli Brad Neuberg Mark C. M. Cheung M. Janvier Meng Jin Y. Gal P. Boerner A. G. Baydin 20 6 0 27 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 410 40,217 0 22 Oct 2020
Channel-wise Autoregressive Entropy Models for Learned Image Compression David C. Minnen Saurabh Singh 51 409 0 17 Jul 2020
Understanding SSIM J. Nilsson T. Akenine-Möller 24 142 0 24 Jun 2020
High-Fidelity Generative Image Compression Fabian Mentzer G. Toderici Michael Tschannen E. Agustsson 76 470 0 17 Jun 2020
Computationally Efficient Neural Image Compression Nick Johnston Elad Eban A. Gordon Johannes Ballé 37 54 0 18 Dec 2019
Using U-Nets to Create High-Fidelity Virtual Observations of the Solar Corona Valentina Salvatelli S. Bose Brad Neuberg L. F. G. dos Santos Mark C. M. Cheung M. Janvier A. G. Baydin Y. Gal Meng Jin 22 8 0 10 Nov 2019
Stand-Alone Self-Attention in Vision Models Prajit Ramachandran Niki Parmar Ashish Vaswani Irwan Bello Anselm Levskaya Jonathon Shlens VLM SLR ViT 71 1,208 0 13 Jun 2019
Non-local Attention Optimized Deep Image Compression Haojie Liu Tong Chen Peiyao Guo Qiu Shen Xun Cao Yao Wang Zhan Ma 44 251 0 22 Apr 2019
Residual Non-local Attention Networks for Image Restoration Yulun Zhang Kunpeng Li Kai Li Bineng Zhong Y. Fu SupR 59 673 0 24 Mar 2019
A Machine Learning Dataset Prepared From the NASA Solar Dynamics Observatory Mission Richard Galvez David Fouhey Meng Jin Alexandre Szenicer A. Muñoz-Jaramillo ... P. Wright M. Bobra Yang Liu James Mason R. Thomas 27 73 0 11 Mar 2019
Rethinking Lossy Compression: The Rate-Distortion-Perception Tradeoff Yochai Blau T. Michaeli 56 304 0 23 Jan 2019
Visual Object Tracking based on Adaptive Siamese and Motion Estimation Network Hossein Kashiani S. B. Shokouhi 37 18 0 29 Sep 2018
Joint Autoregressive and Hierarchical Priors for Learned Image Compression David C. Minnen Johannes Ballé G. Toderici 60 1,268 0 08 Sep 2018
CBAM: Convolutional Block Attention Module Sanghyun Woo Jongchan Park Joon-Young Lee In So Kweon 187 16,337 0 17 Jul 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 299 11,610 0 11 Jan 2018
Non-local Neural Networks Xinyu Wang Ross B. Girshick Abhinav Gupta Kaiming He OffRL 220 8,867 0 21 Nov 2017
The Perception-Distortion Tradeoff Yochai Blau T. Michaeli SupR 116 807 0 16 Nov 2017
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 346 26,241 0 05 Sep 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 492 129,831 0 12 Jun 2017
Residual Attention Network for Image Classification Fei Wang Mengqing Jiang Chao Qian Shuo Yang Cheng Li Honggang Zhang Xiaogang Wang Xiaoou Tang 104 3,299 0 23 Apr 2017
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations E. Agustsson Fabian Mentzer Michael Tschannen Lukas Cavigelli Radu Timofte Luca Benini Luc Van Gool MQ 50 481 0 03 Apr 2017
Lossy Image Compression with Compressive Autoencoders Lucas Theis Wenzhe Shi Andrew Cunningham Ferenc Huszár 59 1,050 0 01 Mar 2017
End-to-end Optimized Image Compression Johannes Ballé Valero Laparra Eero P. Simoncelli DRL 73 1,701 0 05 Nov 2016
End-to-end optimization of nonlinear transform codes for perceptual quality Johannes Ballé Valero Laparra Eero P. Simoncelli 93 244 0 18 Jul 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.5K 192,638 0 10 Dec 2015
Density Modeling of Images using a Generalized Normalization Transformation Johannes Ballé Valero Laparra Eero P. Simoncelli 41 386 0 19 Nov 2015
Variable Rate Image Compression with Recurrent Neural Networks G. Toderici Sean M. O'Malley S. Hwang Damien Vincent David C. Minnen S. Baluja Michele Covell Rahul Sukthankar 54 670 0 19 Nov 2015
A note on the evaluation of generative models Lucas Theis Aaron van den Oord Matthias Bethge EGVM 82 1,142 0 05 Nov 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 940 149,474 0 22 Dec 2014
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation Yoshua Bengio Nicholas Léonard Aaron Courville 317 3,099 0 15 Aug 2013