Learning and Predicting Multimodal Vehicle Action Distributions in a Unified Probabilistic Model Without Labels

14 December 2022

Papers citing "Learning and Predicting Multimodal Vehicle Action Distributions in a Unified Probabilistic Model Without Labels"

25 / 25 papers shown

Title
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset Scott Ettinger Shuyang Cheng Benjamin Caine Chenxi Liu Hang Zhao ... Jiquan Ngiam Vijay Vasudevan Alexander McCauley Jonathon Shlens Drago Anguelov 171 547 0 20 Apr 2021
IntentNet: Learning to Predict Intention from Raw Sensor Data Sergio Casas Wenjie Luo R. Urtasun 3DPC 214 366 0 20 Jan 2021
Multimodal Deep Generative Models for Trajectory Prediction: A Conditional Variational Autoencoder Approach Boris Ivanovic Karen Leung Edward Schmerling Marco Pavone VGen DRL 44 98 0 10 Aug 2020
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting Sergio Casas Cole Gulino Simon Suo Katie Z Luo Renjie Liao R. Urtasun 186 157 0 23 Jul 2020
Deep Learning-based Vehicle Behaviour Prediction For Autonomous Driving Applications: A Review Sajjad Mozaffari Omar Y. Al-Jarrah M. Dianati P. Jennings A. Mouzakitis 38 135 0 25 Dec 2019
DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling Xin Huang Stephen G. McGill Jonathan A. DeCastro L. Fletcher J. Leonard B. Williams Guy Rosman GAN 106 77 0 28 Nov 2019
CoverNet: Multimodal Behavior Prediction using Trajectory Sets Tung Phan-Minh E. Grigore Freddy A. Boulton Oscar Beijbom Eric M. Wolff 73 379 0 23 Nov 2019
Multiple Futures Prediction Yichuan Tang Ruslan Salakhutdinov 58 352 0 04 Nov 2019
Continual Unsupervised Representation Learning Dushyant Rao Francesco Visin Andrei A. Rusu Yee Whye Teh Razvan Pascanu R. Hadsell BDL CLL SSL DRL 23 259 0 31 Oct 2019
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction Yuning Chai Benjamin Sapp Mayank Bansal Dragomir Anguelov 76 659 0 12 Oct 2019
Diverse Trajectory Forecasting with Determinantal Point Processes Ye Yuan Kris Kitani 35 134 0 11 Jul 2019
Rules of the Road: Predicting Driving Behavior with a Convolutional Model of Semantic Interactions Joey Hong Benjamin Sapp James Philbin 72 243 0 21 Jun 2019
Dirichlet Variational Autoencoder Weonyoung Joo Wonsung Lee Sungrae Park Il-Chul Moon BDL DRL 96 103 0 09 Jan 2019
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks Henggang Cui Vladan Radosavljevic Fang-Chieh Chou Tsung-Han Lin Thi Nguyen Tzu-Kuo Huang J. Schneider Nemanja Djuric 45 607 0 18 Sep 2018
Convolutional Social Pooling for Vehicle Trajectory Prediction Nachiket Deo Mohan M. Trivedi 59 779 0 15 May 2018
Probabilistic Prediction of Vehicle Semantic Intention and Motion Yeping Hu Wei Zhan Masayoshi Tomizuka 32 140 0 10 Apr 2018
VAE with a VampPrior Jakub M. Tomczak Max Welling GAN BDL 52 628 0 19 May 2017
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents Namhoon Lee Wongun Choi Paul Vernaza Chris Choy Philip Torr Manmohan Chandraker AI4TS 77 987 0 14 Apr 2017
Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering Zhuxi Jiang Yin Zheng Huachun Tan Bangsheng Tang Hanning Zhou BDL DRL 59 726 0 16 Nov 2016
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders Nat Dilokthanakul P. Mediano M. Garnelo M. J. Lee Hugh Salimbeni Kai Arulkumaran Murray Shanahan DRL 51 651 0 08 Nov 2016
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 214 5,323 0 03 Nov 2016
Stick-Breaking Variational Autoencoders Marco Cote Padhraic Smyth BDL DRL 102 164 0 20 May 2016
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 250 4,143 0 21 May 2015
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 356 16,962 0 20 Dec 2013
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 171 12,384 0 24 Jun 2012