motion-prediction

[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving

A selection of state-of-the-art research materials on trajectory prediction

Human Pose Estimation Related Publication

[TMLR 2025🔥] A survey for the autoregressive models in vision.

[CVPR 2023] Query-Centric Trajectory Prediction

[CVPR 2022] HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction

Human Trajectory Prediction Dataset Benchmark (ACCV 2020)

Solution for Waymo Motion Prediction Challenge 2022. Our implementation of MultiPath++

[ICCV-2023] Official code for work "HumanMAC: Masked Motion Completion for Human Motion Prediction".

[ICCV 2023] Official PyTorch implementation of the paper "InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion"

[CVPR 2024 Award Candidate] Producing and Leveraging Online Map Uncertainty in Trajectory Prediction

Implementation of PF-Track

A selection of state-of-the-art research materials on decision making and motion planning.

M2I is a simple but effective joint motion prediction framework through marginal and conditional predictions by exploiting the factorized relations between interacting agents.

CVPR 2020, "MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps"

Code for our CVPR 2019 work.

[CVPR 2024] SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction

Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding. NeurIPS 2023.

[NeurIPS 2024] Behavioral Topology (BeTop), a multi-agent behavior formulation for interactive motion prediction and planning

[IEEE T-PAMI 2023] Unified heterogeneous transformer-based graph neural network for motion prediction