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This is the official code of the paper "Continual Interactive Behavior Learning With Scenarios Divergence Measurement: A Dynamic Gradient Scenario Memory Approach",Yunlong Lin, Zirui Li, Cheng Gong…
Code for the paper "Leveraging Multi-Stream Information Fusion for Trajectory Prediction in Low Illumination Scenarios: A Multi-channel Graph Convolutional Approach" accepted by IEEE-TITS
PrivGAN: Protecting GANs from membership inference attacks at low cost
Privacy-Preserving Multiple Tensor Factorization for Synthesizing Large-Scale Location Traces
[ICCV 2021] Official PyTorch Implementation of "AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting".
Waymo: Motion Prediction 2021
Official PyTorch code for our ECCV'22 paper Collaborative Uncertainty in Multi-Agent Trajectory Forecasting.
[ECCV 2022 Oral] Official Implementation of "Social-SSL: Self-Supervised Cross-Sequence Representation Learning Based on Transformers for Multi-Agent Trajectory Prediction"
[CoRL-2022] SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving
Trajectory Prediction with Graph-based Dual-scale Context Fusion
Official code for the Paper "Goal-driven Self-Attentive Recurrent Networks for Trajectory Prediction", CVPRW 2022
[ISPRS 2023]Official PyTorch Implementation of "GATraj: A Graph- and Attention-based Multi-Agent Trajectory Prediction Model"
Baseline Kalman models for trajectory predictions. One is constant velocity LSTM
[SIGSPATIAL '22] Next location prediction considering travel mode
LSTM network to verify trajector prediction on the NGSIM dataset based on IoV-SFDL framework
Official code for Next Check-ins Prediction via History and Friendship on Location-Based Social Networks (MDM 2018)
Federated Learning Library: https://fedml.ai
Federated learning with text DNNs for DATA 591 at University of Washington.
Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019
An implementation of the Pay Attention when Required transformer: https://arxiv.org/pdf/2009.04534.pdf