FEND: A Future Enhanced Distribution-Aware Contrastive Learning
Framework for Long-tail Trajectory Prediction

FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long-tail Trajectory Prediction

29 March 2023

Jianru Xue

Papers citing "FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long-tail Trajectory Prediction"

7 / 7 papers shown

Title
RIFT: Closed-Loop RL Fine-Tuning for Realistic and Controllable Traffic Simulation Keyu Chen Wenchao Sun Hao Cheng Sifa Zheng 52 0 0 06 May 2025
Continuous Locomotive Crowd Behavior Generation Inhwan Bae Junoh Lee Hae-Gon Jeon 31 0 0 07 Apr 2025
BP-SGCN: Behavioral Pseudo-Label Informed Sparse Graph Convolution Network for Pedestrian and Heterogeneous Trajectory Prediction Ruochen Li Stamos Katsigiannis Tae-Kyun Kim Hubert P. H. Shum 92 1 0 20 Feb 2025
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
Enhancing Trajectory Prediction through Self-Supervised Waypoint Noise Prediction Pranav Singh Chib Pravendra Singh 29 1 0 26 Nov 2023
Injecting Planning-Awareness into Prediction and Detection Evaluation Boris Ivanovic Marco Pavone 74 31 0 07 Oct 2021
SMOTE: Synthetic Minority Over-sampling Technique Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 163 25,256 0 09 Jun 2011