Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting

Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting

11 July 2022

Ulrich Neumann

Papers citing "Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting"

13 / 13 papers shown

Title
UnityGraph: Unified Learning of Spatio-temporal features for Multi-person Motion Prediction Kehua Qu Rui Ding Jin Tang 3DH 28 0 0 06 Nov 2024
Relation Learning and Aggregate-attention for Multi-person Motion Prediction Kehua Qu Rui Ding Jin Tang 3DH 32 0 0 06 Nov 2024
Conformal Trajectory Prediction with Multi-View Data Integration in Cooperative Driving Xi Chen Rahul Bhadani Larry Head 66 0 0 01 Aug 2024
Breaking Data Silos: Cross-Domain Learning for Multi-Agent Perception from Independent Private Sources Jinlong Li Baolu Li Xinyu Liu Runsheng Xu Jiaqi Ma Hongkai Yu 18 5 0 06 Feb 2024
Compatible Transformer for Irregularly Sampled Multivariate Time Series Yuxi Wei Juntong Peng Tong He Chenxin Xu Jian Zhang Shirui Pan Siheng Chen 33 1 0 17 Oct 2023
Semantic and Articulated Pedestrian Sensing Onboard a Moving Vehicle Maria Priisalu 19 1 0 12 Sep 2023
Joint-Relation Transformer for Multi-Person Motion Prediction Qingyao Xu Wei Mao Jingze Gong Chenxin Xu Siheng Chen Weidi Xie Ya-Qin Zhang Yanfeng Wang ViT 28 8 0 09 Aug 2023
Behavioral Intention Prediction in Driving Scenes: A Survey Jianwu Fang Fan Wang Jianru Xue Tat-Seng Chua 42 42 0 01 Nov 2022
Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking Jiachen Li Hengbo Ma Zhihao Zhang Jinning Li M. Tomizuka 50 61 0 18 Feb 2021
Uncertainty Aware Semi-Supervised Learning on Graph Data Xujiang Zhao Feng Chen Shu Hu Jin-Hee Cho UQCV EDL BDL 102 100 0 24 Oct 2020
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates Lingkai Kong Jimeng Sun Chao Zhang UQCV 42 101 0 24 Aug 2020
Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction Ajay Jain Sergio Casas Renjie Liao Yuwen Xiong Song Feng Sean Segal R. Urtasun 138 70 0 17 Oct 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015