| --- |
| 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} |
| } |
| ``` |
