Understanding Deep Image Representations by Inverting Them

26 November 2014

Andrea Vedaldi

Papers citing "Understanding Deep Image Representations by Inverting Them"

50 / 338 papers shown

Title
Understanding of Kernels in CNN Models by Suppressing Irrelevant Visual Features in Images Jiafan Zhuang Wanying Tao Jianfei Xing Wei Shi Ruixuan Wang Weishi Zheng FAtt 45 3 0 25 Aug 2021
Interpreting Face Inference Models using Hierarchical Network Dissection Divyang Teotia Àgata Lapedriza Sarah Ostadabbas CVBM 34 3 0 23 Aug 2021
Defending against Reconstruction Attack in Vertical Federated Learning Jiankai Sun Yuanshun Yao Weihao Gao Junyuan Xie Chong-Jun Wang AAML FedML 24 28 0 21 Jul 2021
On The Distribution of Penultimate Activations of Classification Networks Minkyo Seo Yoonho Lee Suha Kwak UQCV 18 4 0 05 Jul 2021
Inverting and Understanding Object Detectors Ang Cao Justin Johnson ObjD 33 3 0 26 Jun 2021
How Well do Feature Visualizations Support Causal Understanding of CNN Activations? Roland S. Zimmermann Judy Borowski Robert Geirhos Matthias Bethge Thomas S. A. Wallis Wieland Brendel FAtt 49 31 0 23 Jun 2021
Pixel Sampling for Style Preserving Face Pose Editing Xiangnan Yin Di Huang Hongyu Yang Zehua Fu Yunhong Wang Liming Chen CVBM 35 1 0 14 Jun 2021
A Little Robustness Goes a Long Way: Leveraging Robust Features for Targeted Transfer Attacks Jacob Mitchell Springer Melanie Mitchell Garrett Kenyon AAML 33 43 0 03 Jun 2021
Analysis and Mitigations of Reverse Engineering Attacks on Local Feature Descriptors Deeksha Dangwal Vincent T. Lee Hyo Jin Kim Tianwei Shen M. Cowan ... Brandon Reagen Tim Sherwood Vasileios Balntas Armin Alaghi Eddy Ilg AAML 16 15 0 09 May 2021
Privacy-Preserving Federated Learning on Partitioned Attributes Shuang Zhang Liyao Xiang Xi Yu Pengzhi Chu Yingqi Chen Chen Cen L. Wang FedML 28 2 0 29 Apr 2021
Unsupervised Information Obfuscation for Split Inference of Neural Networks Mohammad Samragh H. Hosseini Aleksei Triastcyn K. Azarian Joseph B. Soriaga F. Koushanfar 25 11 0 23 Apr 2021
PARE: Part Attention Regressor for 3D Human Body Estimation Muhammed Kocabas C. Huang Otmar Hilliges Michael J. Black 3DH 43 403 0 17 Apr 2021
Fashion-Guided Adversarial Attack on Person Segmentation Marc Treu Trung-Nghia Le H. Nguyen Junichi Yamagishi Isao Echizen AAML 33 12 0 17 Apr 2021
See through Gradients: Image Batch Recovery via GradInversion Hongxu Yin Arun Mallya Arash Vahdat J. Álvarez Jan Kautz Pavlo Molchanov FedML 25 462 0 15 Apr 2021
How Privacy-Preserving are Line Clouds? Recovering Scene Details from 3D Lines Kunal Chelani Fredrik Kahl Torsten Sattler 3DPC 32 23 0 08 Mar 2021
Categorical Foundations of Gradient-Based Learning Geoffrey S. H. Cruttwell Bruno Gavranović Neil Ghani Paul W. Wilson Fabio Zanasi FedML 23 70 0 02 Mar 2021
EUCA: the End-User-Centered Explainable AI Framework Weina Jin Jianyu Fan D. Gromala Philippe Pasquier Ghassan Hamarneh 40 24 0 04 Feb 2021
One-Class Classification: A Survey Pramuditha Perera Poojan Oza Vishal M. Patel 54 112 0 08 Jan 2021
Rule Extraction from Binary Neural Networks with Convolutional Rules for Model Validation Sophie Burkhardt Jannis Brugger Nicolas Wagner Zahra Ahmadi Kristian Kersting Stefan Kramer NAI FAtt 25 8 0 15 Dec 2020
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs Yaxing Wang Lu Yu Joost van de Weijer VLM 35 17 0 11 Nov 2020
Role Taxonomy of Units in Deep Neural Networks Yang Zhao Hao Zhang Xiuyuan Hu 18 1 0 02 Nov 2020
Upsampling artifacts in neural audio synthesis Jordi Pons Santiago Pascual Giulio Cengarle Joan Serrà 35 62 0 27 Oct 2020
Dynamic Adversarial Patch for Evading Object Detection Models Shahar Hoory T. Shapira A. Shabtai Yuval Elovici AAML 18 41 0 25 Oct 2020
Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization Judy Borowski Roland S. Zimmermann Judith Schepers Robert Geirhos Thomas S. A. Wallis Matthias Bethge Wieland Brendel FAtt 47 7 0 23 Oct 2020
Using Deep Image Priors to Generate Counterfactual Explanations V. Narayanaswamy Jayaraman J. Thiagarajan A. Spanias 18 4 0 22 Oct 2020
CLAR: Contrastive Learning of Auditory Representations Haider Al-Tahan Y. Mohsenzadeh SSL 125 56 0 19 Oct 2020
Contextual Semantic Interpretability Diego Marcos Ruth C. Fong Sylvain Lobry Rémi Flamary Nicolas Courty D. Tuia SSL 20 27 0 18 Sep 2020
TORNADO-Net: mulTiview tOtal vaRiatioN semAntic segmentation with Diamond inceptiOn module Martin Gerdzhev Ryan Razani E. Taghavi Bingbing Liu 3DPC 115 70 0 24 Aug 2020
Survey of XAI in digital pathology Milda Pocevičiūtė Gabriel Eilertsen Claes Lundström 14 56 0 14 Aug 2020
Counterfactual Explanation Based on Gradual Construction for Deep Networks Hong G Jung Sin-Han Kang Hee-Dong Kim Dong-Ok Won Seong-Whan Lee OOD FAtt 25 22 0 05 Aug 2020
Explainable Predictive Process Monitoring Musabir Musabayli F. Maggi Williams Rizzi Josep Carmona Chiara Di Francescomarino 19 60 0 04 Aug 2020
Explainable Face Recognition Jonathan R. Williford Brandon B. May J. Byrne CVBM 16 71 0 03 Aug 2020
Adversarial Training Reduces Information and Improves Transferability M. Terzi Alessandro Achille Marco Maggipinto Gian Antonio Susto AAML 24 23 0 22 Jul 2020
Regularizing Deep Networks with Semantic Data Augmentation Yulin Wang Gao Huang Shiji Song Xuran Pan Yitong Xia Cheng Wu 21 155 0 21 Jul 2020
Do Adversarially Robust ImageNet Models Transfer Better? Hadi Salman Andrew Ilyas Logan Engstrom Ashish Kapoor Aleksander Madry 37 419 0 16 Jul 2020
Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters Haoyun Liang Zhihao Ouyang Yuyuan Zeng Hang Su Zihao He Shutao Xia Jun Zhu Bo Zhang 16 47 0 16 Jul 2020
Patch-wise Attack for Fooling Deep Neural Network Lianli Gao Qilong Zhang Jingkuan Song Xianglong Liu Heng Tao Shen AAML 32 138 0 14 Jul 2020
Distangling Biological Noise in Cellular Images with a focus on Explainability Manik Sharma Ganapathy Krishnamurthi OOD MedIm 25 0 0 11 Jul 2020
Attention-guided Quality Assessment for Automated Cryo-EM Grid Screening Hong Chao Xu D. Timm Shireen Y. Elhabian 16 1 0 10 Jul 2020
Scientific Discovery by Generating Counterfactuals using Image Translation Arunachalam Narayanaswamy Subhashini Venugopalan D. Webster L. Peng G. Corrado ... Abigail E. Huang Siva Balasubramanian Michael P. Brenner Phil Q. Nelson A. Varadarajan DiffM MedIm 30 20 0 10 Jul 2020
SLAP: Improving Physical Adversarial Examples with Short-Lived Adversarial Perturbations Giulio Lovisotto H.C.M. Turner Ivo Sluganovic Martin Strohmeier Ivan Martinovic AAML 19 101 0 08 Jul 2020
Interpreting and Disentangling Feature Components of Various Complexity from DNNs Jie Ren Mingjie Li Zexu Liu Quanshi Zhang CoGe 19 18 0 29 Jun 2020
Automatic Recall Machines: Internal Replay, Continual Learning and the Brain Xu Ji Joao Henriques Tinne Tuytelaars Andrea Vedaldi KELM 25 10 0 22 Jun 2020
Facial Expression Editing with Continuous Emotion Labels Alexandra Lindt Pablo V. A. Barros Henrique Siqueira S. Wermter CVBM 22 29 0 22 Jun 2020
Embedded Encoder-Decoder in Convolutional Networks Towards Explainable AI A. Tavanaei XAI 12 31 0 19 Jun 2020
Understanding and Mitigating Exploding Inverses in Invertible Neural Networks Jens Behrmann Paul Vicol Kuan-Chieh Wang Roger C. Grosse J. Jacobsen 23 93 0 16 Jun 2020
Dataset Condensation with Gradient Matching Bo Zhao Konda Reddy Mopuri Hakan Bilen DD 41 479 0 10 Jun 2020
Privacy Adversarial Network: Representation Learning for Mobile Data Privacy Sicong Liu Junzhao Du Anshumali Shrivastava Lin Zhong 56 14 0 08 Jun 2020
DeepSonar: Towards Effective and Robust Detection of AI-Synthesized Fake Voices Run Wang Felix Juefei Xu Yihao Huang Qing Guo Xiaofei Xie Lei Ma Yang Liu AAML 30 105 0 28 May 2020
Interpretable and Accurate Fine-grained Recognition via Region Grouping Zixuan Huang Yin Li 14 138 0 21 May 2020