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license: cc-by-nc-4.0
language:
- en
tags:
- human-trajectory-prediction
- jrdb
- jta
- cvpr2025
pipeline_tag: other
library_name: pytorch
---
# EmLoco — CVPR 2025 release assets
Checkpoints and preprocessed data for
**Physical Plausibility-aware Trajectory Prediction via Locomotion Embodiment** (CVPR 2025).
📄 [paper](https://openaccess.thecvf.com/content/CVPR2025/html/Taketsugu_Physical_Plausibility-aware_Trajectory_Prediction_via_Locomotion_Embodiment_CVPR_2025_paper.html) · 🐙 [code](https://github.com/ImIntheMiddle/EmLoco)
## Contents
- `checkpoints/{jta_ours, jrdb_ours}/` — Our models trained on JTA/JRDB dataset
- `checkpoints/valuenets/` — LocoVal value-network checkpoints used by `evaluate_*.py` / `train_*.py --valueloss_w`
- `preprocess_smpl_cvpr/{jta, jrdb}_all_visual_cues/{train, val, test}/` — preprocessed data
- `action_dict.json` — JRDB-Act action labels for per-action ADE/FDE breakdown (optional)
## Usage
See the [GitHub README](https://github.com/ImIntheMiddle/EmLoco#-data--checkpoints-hugging-face) for download + setup instructions.
## License
CC BY-NC 4.0 (research, non-commercial). The underlying SMPL / JTA / JRDB / PACER restrict commercial use.
## Citation
```bibtex
@InProceedings{EmLoco_CVPR25,
author = {Taketsugu, Hiromu and Oba, Takeru and Maeda, Takahiro and Nobuhara, Shohei and Ukita, Norimichi},
title = {Physical Plausibility-aware Trajectory Prediction via Locomotion Embodiment},
booktitle = {IEEE / CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2025}
}
``` |