Accurate and Diverse Sampling of Sequences based on a "Best of Many"
Sample Objective

Accurate and Diverse Sampling of Sequences based on a "Best of Many" Sample Objective

20 June 2018

Apratim Bhattacharyya

Bernt Schiele

Mario Fritz

Papers citing "Accurate and Diverse Sampling of Sequences based on a "Best of Many" Sample Objective"

19 / 69 papers shown

Title
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction Yuning Chai Benjamin Sapp Mayank Bansal Dragomir Anguelov 12 650 0 12 Oct 2019
Multi-Head Attention for Multi-Modal Joint Vehicle Motion Forecasting Jean Pierre Mercat Thomas Gilles N. Zoghby G. Sandou D. Beauvois Guillermo Pita Gil 20 168 0 08 Oct 2019
"Best-of-Many-Samples" Distribution Matching Apratim Bhattacharyya Mario Fritz Bernt Schiele GAN DRL 19 4 0 27 Sep 2019
GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models Dingfan Chen Ning Yu Yang Zhang Mario Fritz 15 52 0 09 Sep 2019
Conditional Flow Variational Autoencoders for Structured Sequence Prediction Apratim Bhattacharyya M. Hanselmann Mario Fritz Bernt Schiele C. Straehle BDL DRL AI4TS 13 83 0 24 Aug 2019
$Modeling continuous-time stochastic processes using $\mathcal{N}$-Curve mixtures$ Modeling continuous-time stochastic processes using $\mathcal{N}$ -Curve mixtures Ronny Hug Wolfgang Hubner Michael Arens 20 0 0 12 Aug 2019
Analyzing the Variety Loss in the Context of Probabilistic Trajectory Prediction Luca Thiede P. Brahma 16 60 0 23 Jul 2019
Generic Prediction Architecture Considering both Rational and Irrational Driving Behaviors Yeping Hu Liting Sun M. Tomizuka 9 22 0 23 Jul 2019
SampleFix: Learning to Generate Functionally Diverse Fixes Hossein Hajipour Apratim Bhattacharyya Cristian-Alexandru Staicu Mario Fritz 17 5 0 24 Jun 2019
Unsupervised Learning of Object Structure and Dynamics from Videos Matthias Minderer Chen Sun Ruben Villegas Forrester Cole Kevin Patrick Murphy Honglak Lee 21 149 0 19 Jun 2019
Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction Osama Makansi Eddy Ilg Özgün Çiçek Thomas Brox 21 191 0 09 Jun 2019
Scene Induced Multi-Modal Trajectory Forecasting via Planning Nachiket Deo Mohan M. Trivedi 19 8 0 23 May 2019
Multi-modal Probabilistic Prediction of Interactive Behavior via an Interpretable Model Yeping Hu Wei Zhan Liting Sun M. Tomizuka 17 45 0 22 Mar 2019
Back to square one: probabilistic trajectory forecasting without bells and whistles Ehsan Pajouheshgar Christoph H. Lampert 14 7 0 07 Dec 2018
Anomaly Detection With Multiple-Hypotheses Predictions D. Nguyen Zhongyu Lou Michael Klar Thomas Brox 22 1 0 31 Oct 2018
Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods Apratim Bhattacharyya Mario Fritz Bernt Schiele UQCV 19 46 0 01 Oct 2018
Machine Learning for Spatiotemporal Sequence Forecasting: A Survey Xingjian Shi Dit-Yan Yeung AI4TS 24 86 0 21 Aug 2018
Bayesian Prediction of Future Street Scenes through Importance Sampling based Optimization Apratim Bhattacharyya Mario Fritz Bernt Schiele UQCV BDL 21 2 0 18 Jun 2018
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 230 7,903 0 13 Jun 2015