Temporal Consistency Objectives Regularize the Learning of Disentangled
Representations

Temporal Consistency Objectives Regularize the Learning of Disentangled Representations

29 August 2019

Gabriele Valvano

Sotirios A. Tsaftaris

Papers citing "Temporal Consistency Objectives Regularize the Learning of Disentangled Representations"

14 / 14 papers shown

Title
Are Disentangled Representations Helpful for Abstract Visual Reasoning? Sjoerd van Steenkiste Francesco Locatello Jürgen Schmidhuber Olivier Bachem 74 210 0 29 May 2019
Disentangled Representation Learning in Cardiac Image Analysis A. Chartsias T. Joyce G. Papanastasiou M. Williams D. Newby R. Dharmakumar Sotirios A. Tsaftaris DRL 98 126 0 22 Mar 2019
Unsupervised Deformable Registration for Multi-Modal Images via Disentangled Representations C. Qin Bibo Shi Rui Liao Tommaso Mansi Daniel Rueckert A. Kamen MedIm 63 125 0 22 Mar 2019
Diverse Image-to-Image Translation via Disentangled Representations Hsin-Ying Lee Hung-Yu Tseng Jia-Bin Huang M. Singh Ming-Hsuan Yang DRL 60 907 0 02 Aug 2018
Recurrent neural networks for aortic image sequence segmentation with sparse annotations Wenjia Bai Hideaki Suzuki C. Qin G. Tarroni Ozan Oktay Paul M. Matthews Daniel Rueckert MedIm 59 113 0 01 Aug 2018
Learning to Decompose and Disentangle Representations for Video Prediction Jun-Ting Hsieh Bingbin Liu De-An Huang Li Fei-Fei Juan Carlos Niebles DRL 171 306 0 11 Jun 2018
Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences C. Qin Wenjia Bai Jo Schlemper S. Petersen Stefan K. Piechnik S. Neubauer Daniel Rueckert MedIm 79 157 0 11 Jun 2018
On the Effectiveness of Least Squares Generative Adversarial Networks Xudong Mao Qing Li Haoran Xie Raymond Y. K. Lau Zhen Wang Stephen Paul Smolley GAN 59 160 0 18 Dec 2017
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel GAN 157 4,232 0 12 Jun 2016
Cyclical Learning Rates for Training Neural Networks L. Smith ODL 165 2,517 0 03 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.5K 76,917 0 18 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.4K 149,842 0 22 Dec 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 412 16,947 0 20 Dec 2013
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 220 12,422 0 24 Jun 2012