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Towards Visually Explaining Variational Autoencoders

18 November 2019

Ziyan Wu

Papers citing "Towards Visually Explaining Variational Autoencoders"

36 / 36 papers shown

Title
PathoSCOPE: Few-Shot Pathology Detection via Self-Supervised Contrastive Learning and Pathology-Informed Synthetic Embeddings Sinchee Chin Yinuo Ma Xiaochen Yang Jing-Hao Xue Wenming Yang SSL MedIm 60 0 0 23 May 2025
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection Jia Guo Shuai Lu Weihang Zhang Huiqi Li Huiqi Li Hongen Liao ViT 129 13 0 23 May 2024
DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection Hui Zhang Zheng Wang Dan Zeng Zuxuan Wu Yu-Gang Jiang DiffM 130 33 0 15 Mar 2023
Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT using Two-Stream Chained 3D Deep Network Fusion D. Jin Dazhou Guo T. Ho Adam P. Harrison Jing Xiao C. Tseng Le Lu 3DPC 46 55 0 04 Sep 2019
Sliced Wasserstein Generative Models Jiqing Wu Zhiwu Huang Dinesh Acharya Wen Li Janine Thoma D. Paudel Luc Van Gool DiffM 120 126 0 10 Apr 2019
A Variational Auto-Encoder Model for Stochastic Point Processes Nazanin Mehrasa Akash Abdu Jyothi Thibaut Durand Jiawei He Leonid Sigal Greg Mori DRL 41 58 0 05 Apr 2019
GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving Buyu Li Wanli Ouyang Lu Sheng Xingyu Zeng Xiaogang Wang 3DPC 94 319 0 26 Mar 2019
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning Yongqin Xian Saurabh Sharma Bernt Schiele Zeynep Akata GAN VLM 94 490 0 25 Mar 2019
Deep Learning for Anomaly Detection: A Survey Raghavendra Chalapathy Sanjay Chawla AI4TS 154 1,495 0 10 Jan 2019
Attention Branch Network: Learning of Attention Mechanism for Visual Explanation Hiroshi Fukui Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi XAI FAtt 70 409 0 25 Dec 2018
Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions Zhilin Zheng Li Sun CML CoGe DRL 39 48 0 22 Dec 2018
Disentangling Disentanglement in Variational Autoencoders Emile Mathieu Tom Rainforth Siddharth Narayanaswamy Yee Whye Teh DRL CoGe 68 10 0 06 Dec 2018
Label-Noise Robust Generative Adversarial Networks Takuhiro Kaneko Yoshitaka Ushiku Tatsuya Harada NoLa 92 60 0 27 Nov 2018
Re-Identification with Consistent Attentive Siamese Networks Meng Zheng Srikrishna Karanam Ziyan Wu Richard J. Radke 55 228 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 68 36 0 19 Nov 2018
Video-to-Video Synthesis Ting-Chun Wang Ming-Yuan Liu Jun-Yan Zhu Guilin Liu Andrew Tao Jan Kautz Bryan Catanzaro GAN VGen 113 991 0 20 Aug 2018
Unsupervised Attention-guided Image to Image Translation Youssef A. Mejjati Christian Richardt James Tompkin Darren Cosker K. Kim 64 310 0 06 Jun 2018
Self-Attention Generative Adversarial Networks Han Zhang Ian Goodfellow Dimitris N. Metaxas Augustus Odena GAN 151 3,731 0 21 May 2018
Anomaly Detection using One-Class Neural Networks Raghavendra Chalapathy A. Menon Sanjay Chawla UQCV 53 397 0 18 Feb 2018
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 64 1,356 0 16 Feb 2018
Isolating Sources of Disentanglement in Variational Autoencoders T. Chen Xuechen Li Roger C. Grosse David Duvenaud DRL 61 447 0 14 Feb 2018
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks Aditya Chattopadhyay Anirban Sarkar Prantik Howlader V. Balasubramanian FAtt 112 2,306 0 30 Oct 2017
InfoVAE: Information Maximizing Variational Autoencoders Shengjia Zhao Jiaming Song Stefano Ermon DRL 95 447 0 07 Jun 2017
Pose Guided Person Image Generation Liqian Ma Xu Jia Qianru Sun Bernt Schiele Tinne Tuytelaars Luc Van Gool GAN 89 817 0 25 May 2017
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 331 19,690 0 21 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 325 20,086 0 07 Oct 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 793 36,881 0 25 Aug 2016
Top-down Neural Attention by Excitation Backprop Jianming Zhang Zhe Lin Jonathan Brandt Xiaohui Shen Stan Sclaroff 92 948 0 01 Aug 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel GAN 159 4,238 0 12 Jun 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 253 9,338 0 14 Dec 2015
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015
Understanding Deep Image Representations by Inverting Them Aravindh Mahendran Andrea Vedaldi FAtt 131 1,965 0 26 Nov 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 455 16,923 0 20 Dec 2013
Learning Generative Models with Visual Attention Yichuan Tang Nitish Srivastava Ruslan Salakhutdinov DiffM 149 85 0 20 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 595 15,904 0 12 Nov 2013
Disentangling Factors of Variation via Generative Entangling Guillaume Desjardins Aaron Courville Yoshua Bengio CoGe CML DRL 90 104 0 19 Oct 2012