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Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations

3 April 2017

Radu Timofte

Luca Benini

Luc Van Gool

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Papers citing "Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations"

35 / 135 papers shown

Title
Learning Content-Weighted Deep Image Compression Mu Li W. Zuo Shuhang Gu J. You David C. Zhang 72 73 0 01 Apr 2019
Jointly Sparse Convolutional Neural Networks in Dual Spatial-Winograd Domains Yoojin Choi Mostafa El-Khamy Jungwon Lee 44 6 0 21 Feb 2019
Learning to compress and search visual data in large-scale systems Sohrab Ferdowsi 40 2 0 24 Jan 2019
Rethinking Lossy Compression: The Rate-Distortion-Perception Tradeoff Yochai Blau T. Michaeli 128 309 0 23 Jan 2019
CAE-ADMM: Implicit Bitrate Optimization via ADMM-based Pruning in Compressive Autoencoders Haimeng Zhao Peiyuan Liao 46 5 0 22 Jan 2019
Recent Advances in Autoencoder-Based Representation Learning Michael Tschannen Olivier Bachem Mario Lucic OOD SSL DRL 95 447 0 12 Dec 2018
Prototype-based Neural Network Layers: Incorporating Vector Quantization S. Saralajew Lars Holdijk Maike Rees T. Villmann MQ 61 15 0 04 Dec 2018
DVC: An End-to-end Deep Video Compression Framework Guo Lu Wanli Ouyang Dong Xu Xiaoyun Zhang Chunlei Cai Zhiyong Gao VGen 101 667 0 30 Nov 2018
Practical Full Resolution Learned Lossless Image Compression Fabian Mentzer E. Agustsson Michael Tschannen Radu Timofte Luc Van Gool 115 200 0 30 Nov 2018
Learned Video Compression Oren Rippel Sanjay Nair Carissa Lew Steve Branson Alexander G. Anderson Lubomir D. Bourdev 92 234 0 16 Nov 2018
Deep Generative Video Compression Jun Han Salvator Lombardo Christopher Schroers Stephan Mandt VGen 87 58 0 05 Oct 2018
Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks Reinhard Heckel Paul Hand 126 287 0 02 Oct 2018
Joint Autoregressive and Hierarchical Priors for Learned Image Compression David C. Minnen Johannes Ballé G. Toderici 86 1,288 0 08 Sep 2018
Learning Sparse Low-Precision Neural Networks With Learnable Regularization Yoojin Choi Mostafa El-Khamy Jungwon Lee MQ 66 31 0 01 Sep 2018
Multi-bin Trainable Linear Unit for Fast Image Restoration Networks Shuhang Gu Radu Timofte Luc Van Gool AI4CE SupR 66 6 0 30 Jul 2018
Learning Product Codebooks using Vector Quantized Autoencoders for Image Retrieval Hanwei Wu M. Flierl SSL CML DRL 155 19 0 12 Jul 2018
Learning a Single Tucker Decomposition Network for Lossy Image Compression with Multiple Bits-Per-Pixel Rates Jianrui Cai Zisheng Cao Lei Zhang 61 37 0 10 Jul 2018
Progressive Spatial Recurrent Neural Network for Intra Prediction Yueyu Hu Wenhan Yang Mading Li Jiaying Liu 77 57 0 06 Jul 2018
Stochastic Layer-Wise Precision in Deep Neural Networks Griffin Lacey Graham W. Taylor S. Areibi 86 18 0 03 Jul 2018
Deep $k$ -Means: Jointly clustering with $k$ -Means and learning representations Maziar Moradi Fard Thibaut Thonet Éric Gaussier 84 239 0 26 Jun 2018
Virtual Codec Supervised Re-Sampling Network for Image Compression Lijun Zhao H. Bai Anhong Wang Yao-Min Zhao 41 1 0 22 Jun 2018
Scalable Neural Network Compression and Pruning Using Hard Clustering and L1 Regularization Yibo Yang Nicholas Ruozzi Vibhav Gogate 33 2 0 14 Jun 2018
DSSLIC: Deep Semantic Segmentation-based Layered Image Compression Mohammad Akbari Jie Liang Jingning Han 62 90 0 08 Jun 2018
Image-Dependent Local Entropy Models for Learned Image Compression David C. Minnen G. Toderici Saurabh Singh S. Hwang Michele Covell 75 31 0 31 May 2018
Deep Generative Models for Distribution-Preserving Lossy Compression Michael Tschannen E. Agustsson Mario Lucic 61 134 0 28 May 2018
Compression of Deep Convolutional Neural Networks under Joint Sparsity Constraints Yoojin Choi Mostafa El-Khamy Jungwon Lee 40 6 0 21 May 2018
Mad Max: Affine Spline Insights into Deep Learning Randall Balestriero Richard Baraniuk AI4CE 95 78 0 17 May 2018
Video Compression through Image Interpolation Chao-Yuan Wu Nayan Singhal Philipp Krahenbuhl VGen 95 325 0 18 Apr 2018
Generative Adversarial Networks for Extreme Learned Image Compression E. Agustsson Michael Tschannen Fabian Mentzer Radu Timofte Luc Van Gool GAN 81 563 0 09 Apr 2018
Universal Deep Neural Network Compression Yoojin Choi Mostafa El-Khamy Jungwon Lee MQ 157 88 0 07 Feb 2018
Conditional Probability Models for Deep Image Compression Fabian Mentzer E. Agustsson Michael Tschannen Radu Timofte Luc Van Gool 110 489 0 12 Jan 2018
Learning a Virtual Codec Based on Deep Convolutional Neural Network to Compress Image Lijun Zhao H. Bai Anhong Wang Yao-Min Zhao 111 38 0 16 Dec 2017
StrassenNets: Deep Learning with a Multiplication Budget Michael Tschannen Aran Khanna Anima Anandkumar 67 30 0 11 Dec 2017
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 259 5,093 0 02 Nov 2017
BitNet: Bit-Regularized Deep Neural Networks Aswin Raghavan Mohamed R. Amer S. Chai Graham Taylor MQ 68 10 0 16 Aug 2017