Research map / Probabilistic and scientific modeling / Molecules and proteins
Non-Probability Sampling Network for Stochastic Human Trajectory Prediction
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Replace random sampling with QMC | SGCN · ETH/UCY AVG | ADE: 0.352 -> 0.291 | Helped |
| Replace random sampling with QMC | SGCN · ETH/UCY AVG | FDE: 0.626 -> 0.496 | Helped |
| Replace random sampling with NPSN | SGCN · ETH/UCY AVG | ADE: 0.352 -> 0.213 | Helped |
| Replace random sampling with NPSN | SGCN · ETH/UCY AVG | FDE: 0.626 -> 0.360 | Helped |
| Add distance loss to purposive sampling (ablation) | NPSN-SGCN · ETH/UCY AVG | ADE: 0.25 -> 0.21 | Helped |
| Add distance loss to purposive sampling (ablation) | NPSN-SGCN · ETH/UCY AVG | FDE: 0.44 -> 0.36 | Helped |
| Add discrepancy loss to purposive sampling (ablation) | NPSN-SGCN · ETH/UCY AVG | ADE: 0.22 -> 0.21 | No clear effect |
| Add discrepancy loss to purposive sampling (ablation) | NPSN-SGCN · ETH/UCY AVG | FDE: 0.37 -> 0.36 | Helped |
| Add GAT social-interaction modeling (ablation) | NPSN-SGCN · ETH/UCY AVG | ADE: 0.22 -> 0.21 | No clear effect |
| Add GAT social-interaction modeling (ablation) | NPSN-SGCN · ETH/UCY AVG | FDE: 0.37 -> 0.36 | No clear effect |
Closest papers by meaning
- Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction (CVPR 2023 · similarity 0.90)
- Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion (CVPR 2022 · similarity 0.90)
- SocialCVAE: Predicting Pedestrian Trajectory via Interaction Conditioned Latents (AAAI 2024 · similarity 0.88)
- Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking (NeurIPS 2024 · similarity 0.88)
- Towards Predicting Any Human Trajectory In Context (NeurIPS 2025 · similarity 0.87)
- MS-TIP: Imputation Aware Pedestrian Trajectory Prediction (ICML 2024 · similarity 0.87)
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