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
Interactive Visual Feature Search Devon Ulrich Ruth C. Fong FAtt 31 0 0 28 Nov 2022
Traditional Classification Neural Networks are Good Generators: They are Competitive with DDPMs and GANs Guangrun Wang Philip Torr 28 8 0 27 Nov 2022
Data-Centric Debugging: mitigating model failures via targeted data collection Sahil Singla Atoosa Malemir Chegini Mazda Moayeri Soheil Feiz 27 4 0 17 Nov 2022
Explainable Artificial Intelligence: Precepts, Methods, and Opportunities for Research in Construction Peter E. D. Love Weili Fang J. Matthews Stuart Porter Hanbin Luo L. Ding XAI 29 7 0 12 Nov 2022
Depth and Representation in Vision Models Benjamin L. Badger SSL VLM FAtt 29 3 0 11 Nov 2022
What Makes a Good Explanation?: A Harmonized View of Properties of Explanations Zixi Chen Varshini Subhash Marton Havasi Weiwei Pan Finale Doshi-Velez XAI FAtt 44 18 0 10 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 35 27 0 24 Oct 2022
Differential Evolution based Dual Adversarial Camouflage: Fooling Human Eyes and Object Detectors Jialiang Sun Tingsong Jiang Wen Yao Donghua Wang Xiaoqian Chen AAML 25 15 0 17 Oct 2022
On the Explainability of Natural Language Processing Deep Models Julia El Zini M. Awad 39 82 0 13 Oct 2022
MAGIC: Mask-Guided Image Synthesis by Inverting a Quasi-Robust Classifier Mozhdeh Rouhsedaghat Masoud Monajatipoor C.-C. Jay Kuo I. Masi 45 6 0 23 Sep 2022
Measuring and Controlling Split Layer Privacy Leakage Using Fisher Information Kiwan Maeng Chuan Guo Sanjay Kariyappa Ed Suh FedML 32 6 0 21 Sep 2022
Vec2Face-v2: Unveil Human Faces from their Blackbox Features via Attention-based Network in Face Recognition Thanh-Dat Truong C. Duong Ngan Le Marios Savvides Khoa Luu CVBM 77 9 0 11 Sep 2022
Flexible Vertical Federated Learning with Heterogeneous Parties Timothy Castiglia Shiqiang Wang S. Patterson FedML 46 34 0 26 Aug 2022
Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks Tilman Raukur A. Ho Stephen Casper Dylan Hadfield-Menell AAML AI4CE 28 125 0 27 Jul 2022
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM Chulin Xie Pin-Yu Chen Qinbin Li Arash Nourian Ce Zhang Bo Li FedML 47 16 0 20 Jul 2022
Activation Template Matching Loss for Explainable Face Recognition Huawei Lin Haozhe Liu Qiufu Li Linlin Shen CVBM 31 1 0 05 Jul 2022
Reconstructing Training Data from Trained Neural Networks Niv Haim Gal Vardi Gilad Yehudai Ohad Shamir Michal Irani 45 132 0 15 Jun 2022
From Attribution Maps to Human-Understandable Explanations through Concept Relevance Propagation Reduan Achtibat Maximilian Dreyer Ilona Eisenbraun S. Bosse Thomas Wiegand Wojciech Samek Sebastian Lapuschkin FAtt 36 134 0 07 Jun 2022
Leveraging Causal Inference for Explainable Automatic Program Repair Jianzong Wang Shijing Si Z. Zhu Xiaoyang Qu Zhenhou Hong Jing Xiao 27 3 0 26 May 2022
BodyMap: Learning Full-Body Dense Correspondence Map A. Ianina N. Sarafianos Yuanlu Xu Ignacio Rocco Tony Tung 3DH 32 14 0 18 May 2022
Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt Xinyin Ma Xinchao Wang Gongfan Fang Yongliang Shen Weiming Lu 24 11 0 16 May 2022
GLaMa: Joint Spatial and Frequency Loss for General Image Inpainting Zeyu Lu Junjun Jiang Jun Huang Gang Wu Xianming Liu 26 25 0 15 May 2022
Exploring Hidden Semantics in Neural Networks with Symbolic Regression Yuanzhen Luo Qiang Lu Xilei Hu Jake Luo Zhiguang Wang 13 0 0 22 Apr 2022
Semantic interpretation for convolutional neural networks: What makes a cat a cat? Haonan Xu Yuntian Chen Dongxiao Zhang FAtt 33 3 0 16 Apr 2022
On scientific understanding with artificial intelligence Mario Krenn R. Pollice S. Guo Matteo Aldeghi Alba Cervera-Lierta ... Florian Hase A. Jinich AkshatKumar Nigam Zhenpeng Yao Alán Aspuru-Guzik 40 186 0 04 Apr 2022
Adversarial Representation Sharing: A Quantitative and Secure Collaborative Learning Framework Jikun Chen Feng Qiang Na Ruan FedML 21 1 0 27 Mar 2022
Towards Explainable Evaluation Metrics for Natural Language Generation Christoph Leiter Piyawat Lertvittayakumjorn M. Fomicheva Wei Zhao Yang Gao Steffen Eger AAML ELM 37 20 0 21 Mar 2022
Joint rotational invariance and adversarial training of a dual-stream Transformer yields state of the art Brain-Score for Area V4 William Berrios Arturo Deza MedIm ViT 32 13 0 08 Mar 2022
Privacy Leakage of Adversarial Training Models in Federated Learning Systems Jingyang Zhang Yiran Chen Hai Helen Li FedML PICV 37 15 0 21 Feb 2022
Non-Deterministic Face Mask Removal Based On 3D Priors Xiangnan Yin Liming Chen CVBM 18 2 0 20 Feb 2022
Explaining, Evaluating and Enhancing Neural Networks' Learned Representations Marco Bertolini Djork-Arné Clevert F. Montanari FAtt 19 5 0 18 Feb 2022
Assessing Privacy Risks from Feature Vector Reconstruction Attacks Emily Wenger Francesca Falzon Josephine Passananti Haitao Zheng Ben Y. Zhao AAML 34 3 0 11 Feb 2022
Finding Biological Plausibility for Adversarially Robust Features via Metameric Tasks A. Harrington Arturo Deza OOD AAML 29 20 0 02 Feb 2022
Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations Amin Ghiasi Hamid Kazemi Steven Reich Chen Zhu Micah Goldblum Tom Goldstein 50 15 0 31 Jan 2022
Variational Model Inversion Attacks Kuan-Chieh Wang Yanzhe Fu Ke Li Ashish Khisti R. Zemel Alireza Makhzani MIACV 25 95 0 26 Jan 2022
Deeply Explain CNN via Hierarchical Decomposition Mingg-Ming Cheng Peng-Tao Jiang Linghao Han Liang Wang Philip Torr FAtt 53 15 0 23 Jan 2022
Splicing ViT Features for Semantic Appearance Transfer Narek Tumanyan Omer Bar-Tal Shai Bagon Tali Dekel DiffM 29 173 0 02 Jan 2022
High Fidelity Visualization of What Your Self-Supervised Representation Knows About Florian Bordes Randall Balestriero Pascal Vincent DiffM 25 61 0 16 Dec 2021
Segmentation-Reconstruction-Guided Facial Image De-occlusion Xiangnan Yin Di Huang Zehua Fu Yunhong Wang Liming Chen 3DH CVBM 19 7 0 15 Dec 2021
Ex-Model: Continual Learning from a Stream of Trained Models Antonio Carta Andrea Cossu Vincenzo Lomonaco D. Bacciu CLL 19 11 0 13 Dec 2021
Activation to Saliency: Forming High-Quality Labels for Completely Unsupervised Salient Object Detection Huajun Zhou Peijia Chen Lingxiao Yang Jianhuang Lai Xiaohua Xie 32 0 0 07 Dec 2021
SPINE: Soft Piecewise Interpretable Neural Equations Jasdeep Singh Grover Harsh Minesh Domadia Rajashree Tapase Grishma Sharma 21 0 0 20 Nov 2021
Visualizing the Emergence of Intermediate Visual Patterns in DNNs Mingjie Li Shaobo Wang Quanshi Zhang 48 11 0 05 Nov 2021
Towards General Deep Leakage in Federated Learning Jiahui Geng Yongli Mou Feifei Li Qing Li Oya Beyan Stefan Decker Chunming Rong FedML 30 55 0 18 Oct 2021
Natural Image Reconstruction from fMRI using Deep Learning: A Survey Zarina Rakhimberdina Quentin Jodelet Xin Liu T. Murata 3DV 127 29 0 18 Oct 2021
TorchEsegeta: Framework for Interpretability and Explainability of Image-based Deep Learning Models S. Chatterjee Arnab Das Chirag Mandal Budhaditya Mukhopadhyay Manish Vipinraj Aniruddh Shukla R. Rao Chompunuch Sarasaen Oliver Speck A. Nürnberger MedIm 42 14 0 16 Oct 2021
Designing Counterfactual Generators using Deep Model Inversion Jayaraman J. Thiagarajan V. Narayanaswamy Deepta Rajan J. Liang Akshay S. Chaudhari A. Spanias DiffM 20 22 0 29 Sep 2021
iWave3D: End-to-end Brain Image Compression with Trainable 3-D Wavelet Transform Dongmei Xue Haichuan Ma Li Li Dong Liu Zhiwei Xiong MedIm 33 7 0 18 Sep 2021
FCA: Learning a 3D Full-coverage Vehicle Camouflage for Multi-view Physical Adversarial Attack Donghua Wang Tingsong Jiang Jialiang Sun Weien Zhou Xiaoya Zhang Zhiqiang Gong W. Yao Xiaoqian Chen AAML 39 101 0 15 Sep 2021
IFBiD: Inference-Free Bias Detection Ignacio Serna Daniel DeAlcala Aythami Morales Julian Fierrez J. Ortega-Garcia CVBM 39 11 0 09 Sep 2021