Research map / Probabilistic and scientific modeling / Molecules and proteins
Which Way Are You Going? Imitative Decision Learning for Path Forecasting in Dynamic Scenes
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use IDL rather than Social GAN | path forecasting · SAP | best ADE: 3.57 -> 2.25 | Helped |
| use IDL rather than DESIRE | path forecasting · SAP | best ADE: 3.11 -> 2.25 | Helped |
| replace a predefined Gaussian latent variable with an inferred latent-decision distribution (ablation) | IDL · SAP | best ADE: 2.76 -> 2.25 | Helped |
| add statistics sub-network and mutual-information optimization (ablation) | IDL · SAP | best ADE: 3.08 -> 2.25 | Helped |
| add latent-decision inference and statistics sub-network (ablation) | IDL · SAP | best ADE: 3.04 -> 2.25 | Helped |
| jointly process spatial and temporal dependencies with ConvGRU and convolutional layers (ablation) | IDL · SAP | best ADE: 4.49 -> 2.25 | Helped |
| replace a predefined Gaussian latent variable with an inferred latent-decision distribution (ablation) | IDL · ETH and UCY datasets | ADE | Helped |
| add mutual-information optimization (ablation) | IDL · path forecasting | prediction diversity | Helped |
| add explicit latent-decision modeling (ablation) | IDL · ETH and UCY datasets | ADE | Helped |
| jointly model spatial and temporal dependencies in one framework rather than assigning one model per person (ablation) | IDL · path forecasting | best ADE | Helped |
Closest papers by meaning
- Predicting Scene Parsing and Motion Dynamics in the Future (NeurIPS 2017 · similarity 0.86)
- Multiple Futures Prediction (NeurIPS 2019 · similarity 0.86)
- Multi-modal Knowledge Distillation-based Human Trajectory Forecasting (CVPR 2025 · similarity 0.85)
- Towards Predicting Any Human Trajectory In Context (NeurIPS 2025 · similarity 0.85)
- Learning to Evolve Scenes: Reasoning about Human Activities with Scene Graphs (NeurIPS 2026 · similarity 0.85)
- DeMo: Decoupling Motion Forecasting into Directional Intentions and Dynamic States (NeurIPS 2024 · similarity 0.85)
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