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Invariant Scattering Convolution Networks

5 March 2012

Joan Bruna

Papers citing "Invariant Scattering Convolution Networks"

50 / 490 papers shown

Title
Generalizable Data-free Objective for Crafting Universal Adversarial Perturbations Konda Reddy Mopuri Aditya Ganeshan R. Venkatesh Babu AAML 134 206 0 24 Jan 2018
Innovative Non-parametric Texture Synthesis via Patch Permutations Ryan Webster 38 4 0 14 Jan 2018
FWLBP: A Scale Invariant Descriptor for Texture Classification Swalpa Kumar Roy Nilavra Bhattacharya Bhabatosh Chanda B. B. Chaudhuri D. Ghosh 33 12 0 10 Jan 2018
Multiscale Sparse Microcanonical Models Joan Bruna S. Mallat 64 36 0 06 Jan 2018
Mathematics of Deep Learning René Vidal Joan Bruna Raja Giryes Stefano Soatto OOD 60 120 0 13 Dec 2017
Quantifying Translation-Invariance in Convolutional Neural Networks Eric Kauderer-Abrams 70 113 0 10 Dec 2017
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations Abhishek Kumar P. Sattigeri Avinash Balakrishnan BDL DRL 108 523 0 02 Nov 2017
Evolving Deep Convolutional Neural Networks for Image Classification Yizhou Sun Bing Xue Mengjie Zhang Gary G. Yen ODL 121 575 0 30 Oct 2017
Convolutional Neural Networks Via Node-Varying Graph Filters Fernando Gama G. Leus A. Marques Alejandro Ribeiro GNN 273 19 0 27 Oct 2017
Interpretable Transformations with Encoder-Decoder Networks Daniel E. Worrall Stephan J. Garbin Daniyar Turmukhambetov Gabriel J. Brostow DRL 64 101 0 19 Oct 2017
Subspace Clustering using Ensembles of $K$ -Subspaces J. Lipor David Hong Dejiao Zhang Laura Balzano 61 25 0 14 Sep 2017
Texture and Structure Incorporated ScatterNet Hybrid Deep Learning Network (TS-SHDL) For Brain Matter Segmentation Amarjot Singh Devamanyu Hazarika Aniruddha Bhattacharya 41 11 0 30 Aug 2017
Efficient Convolutional Network Learning using Parametric Log based Dual-Tree Wavelet ScatterNet Amarjot Singh N. Kingsbury 59 26 0 30 Aug 2017
ScatterNet Hybrid Deep Learning (SHDL) Network For Object Classification Amarjot Singh N. Kingsbury 51 19 0 30 Aug 2017
Multi-Layer Convolutional Sparse Modeling: Pursuit and Dictionary Learning Jeremias Sulam Vardan Papyan Yaniv Romano Michael Elad 128 111 0 29 Aug 2017
A Spatiotemporal Oriented Energy Network for Dynamic Texture Recognition Isma Hadji Richard P. Wildes 74 27 0 22 Aug 2017
Learning Graph While Training: An Evolving Graph Convolutional Neural Network Ruoyu Li Junzhou Huang GNN 136 7 0 10 Aug 2017
Sketched Subspace Clustering Panagiotis A. Traganitis G. Giannakis 60 51 0 22 Jul 2017
Appearance invariance in convolutional networks with neighborhood similarity Tolga Tasdizen Mehdi S. M. Sajjadi Mehran Javanmardi Nisha Ramesh 35 0 0 03 Jul 2017
Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems J. C. Ye Yoseob Han Eunju Cha 111 16 0 03 Jul 2017
Between Homomorphic Signal Processing and Deep Neural Networks: Constructing Deep Algorithms for Polyphonic Music Transcription Li Su 46 21 0 26 Jun 2017
Rotation Invariance Neural Network Shiyuan Li 8 3 0 17 Jun 2017
Group Invariance, Stability to Deformations, and Complexity of Deep Convolutional Representations A. Bietti Julien Mairal 56 7 0 09 Jun 2017
Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition and Remote Sensing Scene Classification Rao Muhammad Anwer Fahad Shahbaz Khan Joost van de Weijer M. Molinier Jorma T. Laaksonen 78 243 0 05 Jun 2017
Dynamic Steerable Blocks in Deep Residual Networks J. Jacobsen Bert de Brabandere A. Smeulders 85 28 0 02 Jun 2017
Sparse hierarchical interaction learning with epigraphical projection Mingyuan Jiu N. Pustelnik Stefan Janaqi M. Chèbre Lin Qi P. Ricoux 56 1 0 22 May 2017
The Incremental Multiresolution Matrix Factorization Algorithm V. Ithapu Risi Kondor Sterling C. Johnson Vikas Singh CLL 36 9 0 16 May 2017
Gabor Convolutional Networks Shangzhen Luan Baochang Zhang Chen Chen Xianbin Cao Jiawei Han Jianzhuang Liu BDL 147 344 0 03 May 2017
Energy Propagation in Deep Convolutional Neural Networks Thomas Wiatowski Philipp Grohs Helmut Bölcskei 81 25 0 12 Apr 2017
Deep scattering transform applied to note onset detection and instrument recognition Cazau Dorian Guillaume Revillon O. Adam 26 1 0 28 Mar 2017
Transfer learning for music classification and regression tasks Keunwoo Choi Gyorgy Fazekas Mark Sandler Kyunghyun Cho 201 229 0 27 Mar 2017
Scaling the Scattering Transform: Deep Hybrid Networks Edouard Oyallon Eugene Belilovsky Sergey Zagoruyko 74 162 0 27 Mar 2017
On the effect of pooling on the geometry of representations Gary Bécigneul 51 2 0 20 Mar 2017
Deformable Convolutional Networks Jifeng Dai Haozhi Qi Yuwen Xiong Yi Li Guodong Zhang Han Hu Yichen Wei 234 5,353 0 17 Mar 2017
Discriminate-and-Rectify Encoders: Learning from Image Transformation Sets Andrea Tacchetti S. Voinea Georgios Evangelopoulos 22 1 0 14 Mar 2017
Graph-based Isometry Invariant Representation Learning Renata Khasanova P. Frossard 115 55 0 01 Mar 2017
Equivariance Through Parameter-Sharing Siamak Ravanbakhsh J. Schneider Barnabás Póczós 111 258 0 27 Feb 2017
Multi-Resolution Dual-Tree Wavelet Scattering Network for Signal Classification Amarjot Singh N. Kingsbury 45 13 0 10 Feb 2017
Dual-Tree Wavelet Scattering Network with Parametric Log Transformation for Object Classification Amarjot Singh N. Kingsbury 72 35 0 10 Feb 2017
An Experimental Study of Deep Convolutional Features For Iris Recognition Shervin Minaee AmirAli Abdolrashidi Yao Wang CVBM 171 146 0 04 Feb 2017
Supervised Deep Sparse Coding Networks Xiaoxia Sun Nasser M. Nasrabadi T. Tran BDL 94 15 0 29 Jan 2017
Lipschitz Properties for Deep Convolutional Networks R. Balan Maneesh Kumar Singh Dongmian Zou 93 49 0 18 Jan 2017
Unknowable Manipulators: Social Network Curator Algorithms Samuel Albanie H. Deng Congming Shi 23 8 0 17 Jan 2017
Oriented Response Networks Yanzhao Zhou QiXiang Ye Qiang Qiu Jianbin Jiao 87 262 0 07 Jan 2017
Local Group Invariant Representations via Orbit Embeddings Anant Raj Abhishek Kumar Youssef Mroueh Tom Fletcher Bernhard Schölkopf 77 38 0 06 Dec 2016
A Probabilistic Framework for Deep Learning Ankit B. Patel M. T. Nguyen Richard G. Baraniuk BDL 120 68 0 06 Dec 2016
Fast Chirplet Transform to Enhance CNN Machine Listening - Validation on Animal calls and Speech H. Glotin J. Ricard Randall Balestriero 16 7 0 26 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 826 3,303 0 24 Nov 2016
Robust Unsupervised Transient Detection With Invariant Representation based on the Scattering Network Randall Balestriero B. Aazhang 47 2 0 23 Nov 2016
AutoGP: Exploring the Capabilities and Limitations of Gaussian Process Models K. Krauth Edwin V. Bonilla Kurt Cutajar Maurizio Filippone GP BDL 61 54 0 18 Oct 2016