IPCC-TP: Utilizing Incremental Pearson Correlation Coefficient for Joint
Multi-Agent Trajectory Prediction

IPCC-TP: Utilizing Incremental Pearson Correlation Coefficient for Joint Multi-Agent Trajectory Prediction

1 March 2023

Fabian Manhardt

Hendrik Berkemeyer

Nassir Navab

Papers citing "IPCC-TP: Utilizing Incremental Pearson Correlation Coefficient for Joint Multi-Agent Trajectory Prediction"

4 / 4 papers shown

Title
TrACT: A Training Dynamics Aware Contrastive Learning Framework for Long-tail Trajectory Prediction Junrui Zhang Mozhgan Pourkeshavarz Amir Rasouli 44 3 0 18 Apr 2024
Multi-agent Long-term 3D Human Pose Forecasting via Interaction-aware Trajectory Conditioning Jaewoo Jeong Daehee Park Kuk-Jin Yoon 41 6 0 08 Apr 2024
T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor-specific Token Memory Daehee Park Jaeseok Jeong Sung-Hoon Yoon Jaewoo Jeong Kuk-Jin Yoon TTA 42 10 0 15 Mar 2024
Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data Sergio Casas Cole Gulino Renjie Liao R. Urtasun AI4CE 174 211 0 18 Oct 2019