Visualizing Deep Convolutional Neural Networks Using Natural Pre-Images

7 December 2015

Andrea Vedaldi

Papers citing "Visualizing Deep Convolutional Neural Networks Using Natural Pre-Images"

38 / 88 papers shown

Title
Fashion++: Minimal Edits for Outfit Improvement Wei-Lin Hsiao Isay Katsman Chao-Yuan Wu Devi Parikh Kristen Grauman 18 67 0 19 Apr 2019
Understanding Neural Networks via Feature Visualization: A survey Anh Nguyen J. Yosinski Jeff Clune FAtt 19 160 0 18 Apr 2019
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models Erik Nijkamp Mitch Hill Tian Han Song-Chun Zhu Ying Nian Wu 21 151 0 29 Mar 2019
Adversarial Neural Network Inversion via Auxiliary Knowledge Alignment Ziqi Yang E. Chang Zhenkai Liang MLAU 33 60 0 22 Feb 2019
RNN-based Generative Model for Fine-Grained Sketching A. Jenal Nikolay Savinov Torsten Sattler G. Chaurasia GAN 22 4 0 13 Jan 2019
Understanding Individual Decisions of CNNs via Contrastive Backpropagation Jindong Gu Yinchong Yang Volker Tresp FAtt 17 94 0 05 Dec 2018
Understanding and Improving Kernel Local Descriptors Arun Mukundan Giorgos Tolias Andrei Bursuc Hervé Jégou Ondřej Chum 22 11 0 27 Nov 2018
An Overview of Computational Approaches for Interpretation Analysis Philipp Blandfort Jörn Hees D. Patton 21 2 0 09 Nov 2018
Analyzing biological and artificial neural networks: challenges with opportunities for synergy? David Barrett Ari S. Morcos Jakob H. Macke AI4CE 25 110 0 31 Oct 2018
MAMMO: A Deep Learning Solution for Facilitating Radiologist-Machine Collaboration in Breast Cancer Diagnosis Nesreen Ahmed Theodore L. Willke M. Schaar 22 32 0 30 Oct 2018
Deep Learning for Generic Object Detection: A Survey Li Liu Wanli Ouyang Xiaogang Wang Paul Fieguth Jie Chen Xinwang Liu M. Pietikäinen ObjD VLM OOD 77 2,427 0 06 Sep 2018
Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study Zhenyu Wu Zhangyang Wang Zhaowen Wang Hailin Jin AAML PICV 33 153 0 22 Jul 2018
With Friends Like These, Who Needs Adversaries? Saumya Jetley Nicholas A. Lord Philip Torr AAML 21 70 0 11 Jul 2018
Visualizing and Understanding Deep Neural Networks in CTR Prediction Lin Guo Hui Ye Wenbo Su He Liu Kai Sun Hang Xiang FAtt HAI 10 7 0 22 Jun 2018
Towards Interpretable Face Recognition Bangjie Yin Luan Tran Haoxiang Li Xiaohui Shen Xiaoming Liu CVBM 22 82 0 02 May 2018
Opening the black box of neural nets: case studies in stop/top discrimination Thomas Roxlo M. Reece 18 22 0 24 Apr 2018
Understanding Regularization to Visualize Convolutional Neural Networks Maximilian Baust Florian Ludwig Christian Rupprecht Matthias Kohl S. Braunewell FAtt 19 4 0 20 Apr 2018
Visualizing Convolutional Neural Network Protein-Ligand Scoring Joshua E. Hochuli Alec Helbling Tamar Skaist Matthew Ragoza D. Koes FAtt 16 65 0 06 Mar 2018
Egocentric Basketball Motion Planning from a Single First-Person Image Gedas Bertasius Aaron Chan Jianbo Shi EgoV 30 25 0 04 Mar 2018
i-RevNet: Deep Invertible Networks J. Jacobsen A. Smeulders Edouard Oyallon 52 333 0 20 Feb 2018
Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos Hugo Jair Escalante Heysem Kaya A. A. Salah Sergio Escalera Yağmur Güçlütürk ... Furkan Gürpinar Achmadnoer Sukma Wicaksana Cynthia C. S. Liem Marcel van Gerven R. Lier 30 61 0 02 Feb 2018
What have we learned from deep representations for action recognition? Christoph Feichtenhofer A. Pinz Richard P. Wildes Andrew Zisserman SSL 31 47 0 04 Jan 2018
Do Convolutional Neural Networks Learn Class Hierarchy? B. Alsallakh Amin Jourabloo Mao Ye Xiaoming Liu Liu Ren 42 210 0 17 Oct 2017
Neural Style Transfer: A Review Yongcheng Jing Yezhou Yang Zunlei Feng Jingwen Ye Yizhou Yu Xiuming Zhang 31 725 0 11 May 2017
CT Image Denoising with Perceptive Deep Neural Networks Qingsong Yang Pingkun Yan M. Kalra Ge Wang MedIm OOD 29 59 0 22 Feb 2017
Stacked Generative Adversarial Networks Xun Huang Yixuan Li Omid Poursaeed J. Hopcroft Serge J. Belongie GAN 22 458 0 13 Dec 2016
LOTS about Attacking Deep Features Andras Rozsa Manuel Günther Terrance E. Boult AAML 48 42 0 18 Nov 2016
Deep Feature Interpolation for Image Content Changes P. Upchurch Jacob V. Gardner Geoff Pleiss Robert Pless Noah Snavely Kavita Bala Kilian Q. Weinberger 36 304 0 16 Nov 2016
Towards Lifelong Self-Supervision: A Deep Learning Direction for Robotics J. M. Wong 27 11 0 01 Nov 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 74 19,634 0 07 Oct 2016
Understanding intermediate layers using linear classifier probes Guillaume Alain Yoshua Bengio FAtt 53 900 0 05 Oct 2016
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network C. Ledig Lucas Theis Ferenc Huszár Jose Caballero Andrew Cunningham ... Andrew P. Aitken Alykhan Tejani J. Totz Zehan Wang Wenzhe Shi GAN 87 10,608 0 15 Sep 2016
Towards Deep Compositional Networks Domen Tabernik Matej Kristan J. Wyatt A. Leonardis CoGe 26 18 0 13 Sep 2016
Deep Motif Dashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks Jack Lanchantin Ritambhara Singh Beilun Wang Yanjun Qi 21 126 0 12 Aug 2016
The Latin American Giant Observatory: a successful collaboration in Latin America based on Cosmic Rays and computer science domains Hernán Asorey R. Mayo-García L. Núñez M. Pascual A. J. Rubio-Montero M. Suárez-Durán L. A. Torres-Niño 31 5 0 30 May 2016
Representation of linguistic form and function in recurrent neural networks Ákos Kádár Grzegorz Chrupała A. Alishahi 27 162 0 29 Feb 2016
Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks Anh Totti Nguyen J. Yosinski Jeff Clune 28 324 0 11 Feb 2016
Generic decoding of seen and imagined objects using hierarchical visual features T. Horikawa Y. Kamitani 17 444 0 22 Oct 2015