My work for the kaggle competition for CSE 151B involving motion forecasting for vehicles using the Argoverse Dataset
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Updated
Jun 7, 2021 - Jupyter Notebook
My work for the kaggle competition for CSE 151B involving motion forecasting for vehicles using the Argoverse Dataset
We introduce a novel trajectory predictor that considers social interactions among agents, maintaining spatial-temporal information over an extended temporal horizon. It achieves high accuracy, generalisability, and outperforms recent SOTA algorithms on NGSIM and HIGHD Datasets
Summarized versions of certain datasets for fast iteration.
[ICCV'21] Official implementation of the "Social NCE: Contrastive Learning of Socially-aware Motion Representations" in PyTorch, for Social-STGCNN on trajectory forecasting.
[ECCV 2022 Oral] Official Implementation of "Social-SSL: Self-Supervised Cross-Sequence Representation Learning Based on Transformers for Multi-Agent Trajectory Prediction"
Official Code for "Disentangled Multi-Relational Graph Convolutional Network for Pedestrian Trajectory Prediction (AAAI 2021)"
Official Code for "SingularTrajectory: Universal Trajectory Predictor using Diffusion Model (CVPR 2024)"
Official Code for "A Set of Control Points Conditioned Pedestrian Trajectory Prediction (AAAI 2023)"
[IROS 2023] "Streaming Motion Forecasting for Autonomous Driving"
Official Code for "Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Prediction (CVPR 2024)"
[ICRA 2023] Official implementation of "A generic diffusion-based approach for 3D human pose prediction in the wild".
The Pytorch implementation for "Learning to Forecast and Refine Residual Motion for Image-to-Video Generation" (ECCV 2018).
Structured Prediction Helps 3D Human Motion Modelling - ICCV '19
Official Code for "Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction (ECCV 2022)"
Behavior Prediction in Autonomous Driving
[ECCV 2022 oral] Official PyTorch implementation of the paper "Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal Anchors"
Official Code for "Non-Probability Sampling Network for Stochastic Human Trajectory Prediction (CVPR 2022)"
[CVPR22] Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective
Official Code for "EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting (ICCV 2023)"
Forecasting Characteristic 3D Poses of Human Actions (CVPR'22) 🏃♂️
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