Understanding Deep Image Representations by Inverting Them

26 November 2014

Andrea Vedaldi

Papers citing "Understanding Deep Image Representations by Inverting Them"

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Title
Saliency Tubes: Visual Explanations for Spatio-Temporal Convolutions Alexandros Stergiou G. Kapidis Grigorios Kalliatakis C. Chrysoulas R. Veltkamp R. Poppe FAtt 69 47 0 04 Feb 2019
Applying Visual Domain Style Transfer and Texture Synthesis Techniques to Audio - Insights and Challenges Muhammad Huzaifah bin Md Shahrin L. Wyse 124 12 0 29 Jan 2019
Attribute-Guided Sketch Generation Hao Tang Xinya Chen Wei Wang Dan Xu Jason J. Corso N. Sebe Yan Yan CVBM GAN 84 23 0 28 Jan 2019
Interpretable Complex-Valued Neural Networks for Privacy Protection Liyao Xiang Haotian Ma Hao Zhang Yifan Zhang Jie Ren Quanshi Zhang AAML 67 32 0 28 Jan 2019
Better accuracy with quantified privacy: representations learned via reconstructive adversarial network Sicong Liu Anshumali Shrivastava Junzhao Du Lin Zhong 63 13 0 25 Jan 2019
Can Adversarial Networks Hallucinate Occluded People With a Plausible Aspect? Federico Fulgeri Matteo Fabbri S. Alletto Simone Calderara Rita Cucchiara GAN 48 13 0 23 Jan 2019
Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person Re-Identification Youngmin Ro Jongwon Choi D. Jo Byeongho Heo Jongin Lim J. Choi 54 16 0 18 Jan 2019
Image Synthesis and Style Transfer S. Phon-Amnuaisuk GAN 19 1 0 15 Jan 2019
Integrating Learning and Reasoning with Deep Logic Models G. Marra Francesco Giannini Michelangelo Diligenti Marco Gori NAI 96 57 0 14 Jan 2019
LEP-CNN: A Lightweight Edge Device Assisted Privacy-preserving CNN Inference Solution for IoT Yifan Tian Jiawei Yuan Shucheng Yu Yantian Hou 45 9 0 14 Jan 2019
Detecting Overfitting of Deep Generative Networks via Latent Recovery Ryan Webster Julien Rabin Loïc Simon F. Jurie GAN 89 99 0 09 Jan 2019
Low-Cost Transfer Learning of Face Tasks T. John Isha Dua V. Balasubramanian C. V. Jawahar CLIP CVBM VLM 54 0 0 09 Jan 2019
Interpretable CNNs for Object Classification Quanshi Zhang Xin Eric Wang Ying Nian Wu Huilin Zhou Song-Chun Zhu 61 54 0 08 Jan 2019
Interpretable BoW Networks for Adversarial Example Detection Krishna Kanth Nakka Mathieu Salzmann GAN AAML 40 0 0 08 Jan 2019
Explaining AlphaGo: Interpreting Contextual Effects in Neural Networks Zenan Ling Haotian Ma Yu Yang Robert C. Qiu Song-Chun Zhu Quanshi Zhang MILM 54 3 0 08 Jan 2019
Polarimetric Thermal to Visible Face Verification via Attribute Preserved Synthesis Xing Di He Zhang Vishal M. Patel CVBM 94 34 0 03 Jan 2019
Can You Trust This Prediction? Auditing Pointwise Reliability After Learning Peter F. Schulam Suchi Saria OOD 112 104 0 02 Jan 2019
Soft Autoencoder and Its Wavelet Adaptation Interpretation Fenglei Fan Mengzhou Li Yueyang Teng Ge Wang 67 3 0 31 Dec 2018
Learning Compositional Representations for Few-Shot Recognition P. Tokmakov Yu-Xiong Wang M. Hebert OCL 98 126 0 21 Dec 2018
Deep Paper Gestalt Jia-Bin Huang CVBM 58 20 0 20 Dec 2018
Explanatory Graphs for CNNs Quanshi Zhang Xin Eric Wang Ruiming Cao Ying Nian Wu Feng Shi Song-Chun Zhu FAtt GNN 49 3 0 18 Dec 2018
Mining Interpretable AOG Representations from Convolutional Networks via Active Question Answering Quanshi Zhang Ruiming Cao Ying Nian Wu Song-Chun Zhu 61 14 0 18 Dec 2018
Explaining Neural Networks Semantically and Quantitatively Runjin Chen Hao Chen Ge Huang Jie Ren Quanshi Zhang FAtt 62 56 0 18 Dec 2018
A Survey of Safety and Trustworthiness of Deep Neural Networks: Verification, Testing, Adversarial Attack and Defence, and Interpretability Xiaowei Huang Daniel Kroening Wenjie Ruan Marta Kwiatkowska Youcheng Sun Emese Thamo Min Wu Xinping Yi AAML 134 51 0 18 Dec 2018
Synthesis of High-Quality Visible Faces from Polarimetric Thermal Faces using Generative Adversarial Networks He Zhang B. Riggan Shuowen Hu Nathan J. Short Vishal M. Patel CVBM GAN 132 82 0 12 Dec 2018
Variational Saccading: Efficient Inference for Large Resolution Images Jason Ramapuram M. Diephuis Frantzeska Lavda Russ Webb Alexandros Kalousis 90 5 0 08 Dec 2018
Reaching Data Confidentiality and Model Accountability on the CalTrain Zhongshu Gu Hani Jamjoom D. Su Heqing Huang Jialong Zhang Tengfei Ma Dimitrios E. Pendarakis Ian Molloy FedML 71 16 0 07 Dec 2018
Deep Energies for Estimating Three-Dimensional Facial Pose and Expression Michael Bao Jane Wu Xinwei Yao Ronald Fedkiw 3DH 42 4 0 07 Dec 2018
Understanding Individual Decisions of CNNs via Contrastive Backpropagation Jindong Gu Yinchong Yang Volker Tresp FAtt 79 98 0 05 Dec 2018
Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning Peng Kuang Mengkai Song Zhifei Zhang Yang Song Qian Wang Hairong Qi FedML 102 788 0 03 Dec 2018
Image Score: How to Select Useful Samples Simiao Zuo Jialin Wu FAtt 32 0 0 02 Dec 2018
Measure, Manifold, Learning, and Optimization: A Theory Of Neural Networks Shuai Li 99 2 0 30 Nov 2018
A Visual Interaction Framework for Dimensionality Reduction Based Data Exploration M. Cavallo Çağatay Demiralp 57 55 0 28 Nov 2018
Automatic Face Aging in Videos via Deep Reinforcement Learning C. Duong Khoa Luu Kha Gia Quach Nghia T. Nguyen Eric Patterson Tien D. Bui Ngan Le CVBM 80 37 0 27 Nov 2018
Dataset Distillation Tongzhou Wang Jun-Yan Zhu Antonio Torralba Alexei A. Efros DD 140 297 0 27 Nov 2018
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks David Bau Jun-Yan Zhu Hendrik Strobelt Bolei Zhou J. Tenenbaum William T. Freeman Antonio Torralba GAN 33 0 0 26 Nov 2018
Learning to synthesize: splitting and recombining low and high spatial frequencies for image recovery Mo Deng Shuai Li George Barbastathis SupR 116 18 0 19 Nov 2018
How far from automatically interpreting deep learning Jinwei Zhao Qizhou Wang Yufei Wang Xinhong Hei Yu Liu 21 1 0 19 Nov 2018
Sharpen Focus: Learning with Attention Separability and Consistency Lezi Wang Ziyan Wu Srikrishna Karanam Kuan-Chuan Peng Rajat Vikram Singh Bo Liu Dimitris N. Metaxas 100 36 0 19 Nov 2018
Exploring the Deep Feature Space of a Cell Classification Neural Network Ezra Webb Cheng Lei Chun-Jung Huang H. Kobayashi H. Mikami K. Goda 15 2 0 15 Nov 2018
An Overview of Computational Approaches for Interpretation Analysis Philipp Blandfort Jörn Hees D. Patton 55 2 0 09 Nov 2018
Evolvement Constrained Adversarial Learning for Video Style Transfer Wenbo Li Longyin Wen Xiao Bian Siwei Lyu GAN 54 5 0 06 Nov 2018
Semantic bottleneck for computer vision tasks Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard 95 17 0 06 Nov 2018
Unsupervised RGBD Video Object Segmentation Using GANs M. Sultana Arif Mahmood S. Javed Soon Ki Jung VOS 111 10 0 05 Nov 2018
Analyzing biological and artificial neural networks: challenges with opportunities for synergy? David Barrett Ari S. Morcos Jakob H. Macke AI4CE 87 111 0 31 Oct 2018
Deep learning for denoising Siwei Yu Jianwei Ma Wenlong Wang 18 10 0 27 Oct 2018
Understanding Deep Convolutional Networks through Gestalt Theory A. Amanatiadis Vasileios G. Kaburlasos Elias B. Kosmatopoulos FAtt 31 16 0 19 Oct 2018
Analyzing and Interpreting Convolutional Neural Networks in NLP Mahnaz Koupaee William Yang Wang FAtt 57 4 0 18 Oct 2018
Discovering Fair Representations in the Data Domain Novi Quadrianto V. Sharmanska Oliver Thomas 86 3 0 15 Oct 2018
Does Haze Removal Help CNN-based Image Classification? Yanting Pei Yaping Huang Qi Zou Yuhang Lu Song Wang 81 72 0 12 Oct 2018