v1v2 (latest)

Sparse Modeling for Image and Vision Processing

12 November 2014

Papers citing "Sparse Modeling for Image and Vision Processing"

50 / 89 papers shown

Title
Evaluating Sparse Autoencoders: From Shallow Design to Matching Pursuit Valérie Costa Thomas Fel Ekdeep Singh Lubana Bahareh Tolooshams Demba Ba 93 0 0 05 Jun 2025
Interpreting the linear structure of vision-language model embedding spaces Isabel Papadimitriou Huangyuan Su Thomas Fel Naomi Saphra Sham Kakade VLM 120 1 0 16 Apr 2025
Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models Thomas Fel Ekdeep Singh Lubana Jacob S. Prince M. Kowal Victor Boutin Isabel Papadimitriou Binxu Wang Martin Wattenberg Demba Ba Talia Konkle 76 8 0 18 Feb 2025
Seismic Traveltime Tomography with Label-free Learning Feng Wang Bo Yang Renfang Wang Hong Qiu 29 0 0 01 Feb 2024
Semi-sparsity Priors for Image Structure Analysis and Extraction Junqing Huang Haihui Wang Michael Ruzhansky 16 0 0 17 Aug 2023
Structured Learning in Time-dependent Cox Models Guanbo Wang Yimin Lian Archer Y. Yang Robert W. Platt Rui Wang S. Perreault M. Dorais M. Schnitzer 99 3 0 21 Jun 2023
A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation Thomas Fel Victor Boutin Mazda Moayeri Rémi Cadène Louis Bethune Léo Andéol Mathieu Chalvidal Thomas Serre FAtt 94 64 0 11 Jun 2023
Optimal Regularization for a Data Source Oscar Leong Eliza O'Reilly Yong Sheng Soh V. Chandrasekaran 61 4 0 27 Dec 2022
Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth Sensitivity Faisal Hamman Jiahao Chen Sanghamitra Dutta 66 9 0 03 Nov 2022
Revisiting Sparse Convolutional Model for Visual Recognition Xili Dai Mingyang Li Pengyuan Zhai Shengbang Tong Xingjian Gao Shao-Lun Huang Zhihui Zhu Chong You Yi Ma FAtt 89 29 0 24 Oct 2022
Entropic Descent Archetypal Analysis for Blind Hyperspectral Unmixing Alexandre Zouaoui Gedeon Muhawenayo Behnood Rasti Jocelyn Chanussot Julien Mairal 69 17 0 22 Sep 2022
Cross-Modality Neuroimage Synthesis: A Survey Guoyang Xie Yawen Huang Jin-Bao Wang Ke Lu Yefeng Zheng Feng Zheng Yaochu Jin 121 7 0 14 Feb 2022
Sparse Coding with Multi-Layer Decoders using Variance Regularization Katrina Evtimova Yann LeCun BDL OffRL 56 9 0 16 Dec 2021
A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restoration Théo Bodrito Alexandre Zouaoui Jocelyn Chanussot Julien Mairal 85 63 0 18 Nov 2021
Screening for a Reweighted Penalized Conditional Gradient Method Yifan Sun Francis R. Bach 53 0 0 02 Jul 2021
Toward Understanding the Feature Learning Process of Self-supervised Contrastive Learning Zixin Wen Yuanzhi Li SSL MLT 84 136 0 31 May 2021
Improved Image Generation via Sparse Modeling Roy Ganz Michael Elad 37 1 0 01 Apr 2021
A Survey on Ensemble Learning under the Era of Deep Learning Yongquan Yang Haijun Lv Ning Chen OOD 156 203 0 21 Jan 2021
Spectral Superresolution of Multispectral Imagery with Joint Sparse and Low-Rank Learning Lianru Gao Danfeng Hong Jing Yao Bing Zhang Paolo Gamba Jocelyn Chanussot 96 127 0 28 Jul 2020
A survey and an extensive evaluation of popular audio declipping methods Pavel Záviška P. Rajmic A. Ozerov Lucas Rencker 35 34 0 15 Jul 2020
Group Invariant Dictionary Learning Yong Sheng Soh 58 9 0 15 Jul 2020
A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game Encoding Bruno Lecouat Jean Ponce Julien Mairal AI4CE 65 6 0 26 Jun 2020
Structured and Localized Image Restoration Thomas Eboli Alex Nowak-Vila Jian Sun Francis R. Bach Jean Ponce Alessandro Rudi 15 0 0 16 Jun 2020
When to Use Convolutional Neural Networks for Inverse Problems Nathaniel Chodosh Simon Lucey 74 8 0 30 Mar 2020
Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification Nikita Dvornik Cordelia Schmid Julien Mairal VLM 231 24 0 20 Mar 2020
Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications Qing Qu Zhihui Zhu Xiao Li M. Tsakiris John N. Wright René Vidal 60 20 0 20 Jan 2020
Analysis of the Optimization Landscapes for Overcomplete Representation Learning Qing Qu Yuexiang Zhai Xiao Li Yuqian Zhang Zhihui Zhu 105 10 0 05 Dec 2019
Weakly Convex Optimization over Stiefel Manifold Using Riemannian Subgradient-Type Methods Xiao Li Shixiang Chen Zengde Deng Qing Qu Zhihui Zhu Anthony Man-Cho So 78 15 0 12 Nov 2019
Large-Scale Sparse Subspace Clustering Using Landmarks Farhad Pourkamali-Anaraki 80 4 0 02 Aug 2019
Sparse Optimization on Measures with Over-parameterized Gradient Descent Lénaïc Chizat 97 93 0 24 Jul 2019
Visual Diagnosis of Dermatological Disorders: Human and Machine Performance J. Kawahara Ghassan Hamarneh 46 11 0 04 Jun 2019
Machine learning in acoustics: theory and applications Michael J. Bianco Peter Gerstoft James Traer Emma Ozanich M. Roch Sharon Gannot Charles-Alban Deledalle AI4CE 89 391 0 11 May 2019
Controlling Neural Networks via Energy Dissipation Michael Möller Thomas Möllenhoff Daniel Cremers 70 17 0 05 Apr 2019
Estimate Sequences for Stochastic Composite Optimization: Variance Reduction, Acceleration, and Robustness to Noise A. Kulunchakov Julien Mairal 88 45 0 25 Jan 2019
On the Global Geometry of Sphere-Constrained Sparse Blind Deconvolution Yuqian Zhang Yenson Lau Han-Wen Kuo S. Cheung A. Pasupathy John N. Wright 85 49 0 07 Jan 2019
Adversarial Defense by Stratified Convolutional Sparse Coding Bo Sun Nian-hsuan Tsai Fangchen Liu Ronald Yu Hao Su AAML 77 76 0 30 Nov 2018
Basis Pursuit Denoise with Nonsmooth Constraints R. Baraldi Rajiv Kumar Aleksandr Aravkin 62 10 0 28 Nov 2018
Subgradient Descent Learns Orthogonal Dictionaries Yu Bai Qijia Jiang Ju Sun 163 51 0 25 Oct 2018
Modelling Point Spread Function in Fluorescence Microscopy with a Sparse Combination of Gaussian Mixture: Trade-off between Accuracy and Efficiency D. K. Samuylov Prateek Purwar G. Székely Grégory Paul 16 19 0 05 Sep 2018
A comprehensive study of sparse representation techniques for offline signature verification E. Zois Dimitrios Tsourounis Ilias Theodorakopoulos A. Kesidis G. Economou 63 34 0 13 Jul 2018
Playing Atari with Six Neurons Giuseppe Cuccu Julian Togelius Philippe Cudré-Mauroux 165 43 0 04 Jun 2018
Adversarial Noise Attacks of Deep Learning Architectures -- Stability Analysis via Sparse Modeled Signals Yaniv Romano Aviad Aberdam Jeremias Sulam Michael Elad AAML 73 22 0 29 May 2018
Unsupervised Learning of Artistic Styles with Archetypal Style Analysis Daan Wynen Cordelia Schmid Julien Mairal 76 27 0 28 May 2018
Multi-Layer Sparse Coding: The Holistic Way Aviad Aberdam Jeremias Sulam Michael Elad 77 34 0 25 Apr 2018
Visual Tracking Using Sparse Coding and Earth Mover's Distance Gang Yao Ashwin P. Dani 29 6 0 06 Apr 2018
Machine learning based hyperspectral image analysis: A survey Utsav B. Gewali S. Monteiro E. Saber 53 116 0 23 Feb 2018
Structured low-rank matrix completion for forecasting in time series analysis J. Gillard K. Usevich AI4TS 50 22 0 22 Feb 2018
Convolutional Analysis Operator Learning: Acceleration and Convergence Il Yong Chun Jeffrey A. Fessler 107 47 0 15 Feb 2018
Learning Light Field Reconstruction from a Single Coded Image Anil Kumar Vadathya Saikiran Cholleti Gautham Ramajayam Vijayalakshmi Kanchana Kaushik Mitra 3DV 40 13 0 20 Jan 2018
Hyperspectral recovery from RGB images using Gaussian Processes Naveed Akhtar Ajmal Mian 43 97 0 15 Jan 2018