A context-guided diffusion model with energy-based joint refinement improves both marginal and joint metrics for multi-agent motion prediction on standard benchmarks.
Timestamp-supervised wearable- based activity segmentation and recognition with contrastive learning and order-preserving optimal transport.TMC, 23 (12):10734–10751
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Diverse Yet Consistent: Context-Guided Diffusion with Energy-Based Joint Refinement for Multi-Agent Motion Prediction
A context-guided diffusion model with energy-based joint refinement improves both marginal and joint metrics for multi-agent motion prediction on standard benchmarks.