Sandro Braun

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Fashion Landmark Detection in the Wild 2016 Ziwei Liu
Sijie Yan
Ping Luo
Xiaogang Wang
Xiaoou Tang
2
+ Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks 2017 Lars Mescheder
Sebastian Nowozin
Andreas Geiger
2
+ Categorical Reparameterization with Gumbel-Softmax 2016 Eric Jang
Shixiang Gu
Ben Poole
2
+ Unsupervised learning of object landmarks by factorized spatial embeddings 2017 James Thewlis
Hakan Bilen
Andrea Vedaldi
2
+ Deep Learning for Semantic Part Segmentation with High-Level Guidance 2015 Stavros Tsogkas
Iasonas Kokkinos
George Papandreou
Andrea Vedaldi
2
+ PDF Chat Unsupervised Discovery of Object Landmarks as Structural Representations 2018 Yuting Zhang
Yijie Guo
Yixin Jin
Yijun Luo
Zhiyuan He
Honglak Lee
2
+ MINE: Mutual Information Neural Estimation. 2018 Ishmael Belghazi
Sai Rajeswar
Aristide Baratin
R Devon Hjelm
Aaron Courville
2
+ PDF Chat DensePose: Dense Human Pose Estimation in the Wild 2018 Rıza Alp Güler
Natalia Neverova
Iasonas Kokkinos
2
+ A Variational U-Net for Conditional Appearance and Shape Generation 2018 Patrick Esser
Ekaterina Sutter
Björn Ommer
2
+ PDF Chat Visual Dynamics: Stochastic Future Generation via Layered Cross Convolutional Networks 2018 Tianfan Xue
Jiajun Wu
Katherine L. Bouman
William T. Freeman
2
+ PDF Chat Unsupervised Part-Based Disentangling of Object Shape and Appearance 2019 Dominik Lorenz
Leonard Bereska
Timo Milbich
Björn Ommer
2
+ PDF Chat Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis 2019 Patrick Esser
Johannes Haux
Björn Ommer
2
+ PDF Chat FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery 2019 Krishna Kumar Singh
Utkarsh Ojha
Yong Jae Lee
2
+ Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations 2018 Francesco Locatello
Stefan Bauer
Mario Lučić
Gunnar Rätsch
Sylvain Gelly
Bernhard Schölkopf
Olivier Bachem
2
+ Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation 2013 Yoshua Bengio
Nicholas Léonard
Aaron Courville
2
+ Semi-Supervised Learning with Deep Generative Models 2014 Diederik P. Kingma
Danilo Jimenez Rezende
Shakir Mohamed
Max Welling
2
+ PDF Chat Optimal approximations by piecewise smooth functions and associated variational problems 1989 David Mumford
Jayant Shah
2
+ Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials 2012 Philipp Krähenbühl
Vladlen Koltun
2
+ PDF Chat Warping of Radar Data Into Camera Image for Cross-Modal Supervision in Automotive Applications 2022 Christopher Grimm
Tai Fei
Ernst Warsitz
Ridha Farhoud
Tobias Breddermann
Reinhold Haeb‐Umbach
1
+ Precise Aerial Image Matching based on Deep Homography Estimation 2021 Myeong–Seok Oh
Yong-Ju Lee
Seong‐Whan Lee
1
+ MINE: Mutual Information Neural Estimation 2018 Mohamed Ishmael Belghazi
Aristide Baratin
Sai Rajeswar
Sherjil Ozair
Yoshua Bengio
Aaron Courville
R Devon Hjelm
1
+ PDF Chat Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification 2015 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
1
+ Joint Object and Part Segmentation using Deep Learned Potentials 2015 Peng Wang
Xiaohui Shen
Zhe Lin
Scott Cohen
Brian Price
Alan Yuille
1
+ Stochastic Backpropagation and Approximate Inference in Deep Generative Models 2014 Danilo Jimenez Rezende
Shakir Mohamed
Daan Wierstra
1
+ Semi-supervised Learning with Deep Generative Models 2014 Diederik P. Kingma
Shakir Mohamed
Danilo Jimenez Rezende
Max Welling
1
+ PDF Chat Stacked Hourglass Networks for Human Pose Estimation 2016 Alejandro Newell
Kaiyu Yang
Jia Deng
1
+ PDF Chat Perceptual Losses for Real-Time Style Transfer and Super-Resolution 2016 Justin Johnson
Alexandre Alahi
Li Fei-Fei
1
+ Unsupervised Learning of Disentangled Representations from Video 2017 Emily Denton
Vighnesh Birodkar
1
+ PDF Chat Panoptic Feature Pyramid Networks 2019 Alexander Kirillov
Ross Girshick
Kaiming He
Piotr Dollár
1
+ On Variational Bounds of Mutual Information 2019 Ben Poole
Sherjil Ozair
Aäron van den Oord
Alexander A. Alemi
George Tucker
1
+ Perceptual Losses for Real-Time Style Transfer and Super-Resolution 2016 Justin Johnson
Alexandre Alahi
Li Fei-Fei
1
+ Stacked Hourglass Networks for Human Pose Estimation 2016 Alejandro Newell
Kaiyu Yang
Jia Deng
1
+ PDF Chat SCOPS: Self-Supervised Co-Part Segmentation 2019 Wei-Chih Hung
Varun Jampani
Sifei Liu
Pavlo Molchanov
Ming–Hsuan Yang
Jan Kautz
1
+ Stochastic Backpropagation and Approximate Inference in Deep Generative Models 2014 Danilo Jimenez Rezende
Shakir Mohamed
Daan Wierstra
1
+ PDF Chat A Variational U-Net for Conditional Appearance and Shape Generation 2018 Patrick Esser
Ekaterina Sutter
1
+ An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution 2018 Rosanne Liu
Joel Lehman
Piero Molino
Felipe Petroski Such
Eric Frank
A. E. Sergeev
Jason Yosinski
1
+ PDF Chat Joint Object and Part Segmentation Using Deep Learned Potentials 2015 Peng Wang
Xiaohui Shen
Zhe Lin
Scott Cohen
Brian Price
Alan Yuille
1
+ Adam: A Method for Stochastic Optimization 2014 Diederik P. Kingma
Jimmy Ba
1
+ UAVid: A semantic segmentation dataset for UAV imagery 2020 Ye Lyu
George Vosselman
Gui-Song Xia
Alper Yılmaz
Michael Ying Yang
1
+ PDF Chat CNN Based Road User Detection Using the 3D Radar Cube 2020 Andras Palffy
Jiaao Dong
Julian F. P. Kooij
Dariu M. Gavrila
1