CovarianceNet: Conditional Generative Model for Correct Covariance Prediction in Human Motion Prediction

7 September 2021

Papers citing "CovarianceNet: Conditional Generative Model for Correct Covariance Prediction in Human Motion Prediction"

8 / 8 papers shown

Title
Multi-Condition Latent Diffusion Network for Scene-Aware Neural Human Motion Prediction Xuehao Gao Yang Yang Yang Wu Shaoyi Du Guo-Jun Qi DiffM 3DH 43 5 0 29 May 2024
Comparison of Pedestrian Prediction Models from Trajectory and Appearance Data for Autonomous Driving Anthony Knittel Morris Antonello John Redford S. Ramamoorthy 11 0 0 25 May 2023
Social Robot Navigation through Constrained Optimization: a Comparative Study of Uncertainty-based Objectives and Constraints Timur Akhtyamov A. Kashirin A. Postnikov Gonzalo Ferrer 38 5 0 04 May 2023
Transformer based trajectory prediction A. Postnikov A. Gamayunov Gonzalo Ferrer 30 9 0 08 Dec 2021
Propagating State Uncertainty Through Trajectory Forecasting Boris Ivanovic Yifeng Lin Shubham Shrivastava Punarjay Chakravarty Marco Pavone 78 18 0 07 Oct 2021
Transformer Networks for Trajectory Forecasting Francesco Giuliari Irtiza Hasan Marco Cristani Fabio Galasso 113 371 0 18 Mar 2020
Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction Ajay Jain Sergio Casas Renjie Liao Yuwen Xiong Song Feng Sean Segal R. Urtasun 149 73 0 17 Oct 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015