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2012.13253
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Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder
Computer Vision and Pattern Recognition (CVPR), 2020
24 December 2020
Tal Daniel
Aviv Tamar
DRL
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Papers citing
"Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder"
22 / 22 papers shown
A DeepONet joint Neural Tangent Kernel Hybrid Framework for Physics-Informed Inverse Source Problems and Robust Image Reconstruction
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Revisiting Likelihood-Based Out-of-Distribution Detection by Modeling Representations
Scandinavian Conference on Image Analysis (SCIA), 2025
Yifan Ding
Arturas Aleksandrauskas
Amirhossein Ahmadian
Jonas Unger
Fredrik Lindsten
Gabriel Eilertsen
OODD
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10 Apr 2025
Selective Test-Time Adaptation for Unsupervised Anomaly Detection using Neural Implicit Representations
Sameer Ambekar
Julia A. Schnabel
Cosmin Bereca
MedIm
OOD
355
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04 Oct 2024
Generative AI Enables Medical Image Segmentation in Ultra Low-Data Regimes
medRxiv (medRxiv), 2024
Li Zhang
Basu Jindal
Ahmed Alaa
Robert Weinreb
David Wilson
Eran Segal
James Zou
Pengtao Xie
MedIm
242
22
0
30 Aug 2024
Interpretable Representation Learning of Cardiac MRI via Attribute Regularization
Maxime Di Folco
Cosmin I. Bercea
Emily Chan
Julia A. Schnabel
410
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12 Jun 2024
Improving Deep Learning-based Automatic Cranial Defect Reconstruction by Heavy Data Augmentation: From Image Registration to Latent Diffusion Models
Marek Wodzinski
K. Kwarciak
Mateusz Daniol
D. Hemmerling
DiffM
MedIm
207
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10 Jun 2024
Towards Controllable Time Series Generation
Yifan Bao
Yihao Ang
Qiang Huang
Anthony K. H. Tung
Zhiyong Huang
DiffM
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06 Mar 2024
Towards Universal Unsupervised Anomaly Detection in Medical Imaging
Cosmin I. Bercea
Benedikt Wiestler
Daniel Rueckert
Julia A. Schnabel
264
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19 Jan 2024
Attribute Regularized Soft Introspective Variational Autoencoder for Interpretable Cardiac Disease Classification
Maxime Di Folco
Cosmin I. Bercea
Julia A. Schnabel
348
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14 Dec 2023
Fine-Tuning Generative Models as an Inference Method for Robotic Tasks
Orr Krupnik
Elisei Shafer
Tom Jurgenson
Aviv Tamar
296
4
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19 Oct 2023
Attribute Regularized Soft Introspective VAE: Towards Cardiac Attribute Regularization Through MRI Domains
Maxime Di Folco
Cosmin I. Bercea
Julia A. Schnabel
302
1
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24 Jul 2023
Soft-IntroVAE for Continuous Latent space Image Super-Resolution
International Conference on Information Photonics (ICIP), 2023
Zhi-Song Liu
Zijia Wang
Zhen Jia
317
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18 Jul 2023
AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics
Shan Jia
Mingzhen Huang
Zhou Zhou
Yan Ju
Jialing Cai
Siwei Lyu
DiffM
317
51
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14 Apr 2023
Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Cosmin I. Bercea
Benedikt Wiestler
Daniel Rueckert
Julia A. Schnabel
DiffM
MedIm
227
25
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15 Mar 2023
DPD-fVAE: Synthetic Data Generation Using Federated Variational Autoencoders With Differentially-Private Decoder
Bjarne Pfitzner
B. Arnrich
FedML
298
22
0
21 Nov 2022
AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAE
Asian Conference on Machine Learning (ACML), 2022
Chang-Tien Lu
Shen Zheng
Zirui Wang
O. Dib
Gaurav Gupta
254
3
0
28 Jun 2022
Heterogeneous Face Recognition via Face Synthesis with Identity-Attribute Disentanglement
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022
Ziming Yang
Jianqiang Q. Liang
Chaoyou Fu
Mandi Luo
Xiaoyu Zhang
CVBM
252
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10 Jun 2022
What do we learn? Debunking the Myth of Unsupervised Outlier Detection
Cosmin I. Bercea
Daniel Rueckert
Julia A. Schnabel
OODD
259
8
0
08 Jun 2022
Unsupervised Image Representation Learning with Deep Latent Particles
International Conference on Machine Learning (ICML), 2022
Tal Daniel
Aviv Tamar
OCL
SSL
379
18
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31 May 2022
Synthesizing Adversarial Visual Scenarios for Model-Based Robotic Control
Conference on Robot Learning (CoRL), 2022
Shubhankar Agarwal
Sandeep Chinchali
AAML
362
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13 Apr 2022
AudioViewer: Learning to Visualize Sounds
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Chunjin Song
Yuchi Zhang
Willis Peng
Parmis Mohaghegh
Bastian Wandt
Helge Rhodin
326
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22 Dec 2020
Deep Variational Semi-Supervised Novelty Detection
Tal Daniel
Thanard Kurutach
Aviv Tamar
DRL
UQCV
534
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12 Nov 2019
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