3 citations · 4 across the 5 of their papers we have counts for
5 papers
Teger: Spatiotemporal Covariance for Probabilistic Traffic Forecasting
Seyed Mohamad Moghadas, Esther Rodrigo Bonet, Bruno Cornelis +1
Traffic conditions drift -- demand patterns, incident dynamics, and sensor behavior shift over a deployment's lifetime -- so a joint uncertainty estimate fit once at training time…
FlowS: One-Step Motion Prediction via Local Transport Conditioning
Leandro Di Bella, Adrian Munteanu, Bruno Cornelis
Generative motion prediction must satisfy three simultaneous requirements for real-world autonomy: high accuracy, diverse multimodal futures, and strictly bounded latency. Diffusio…
FreqFlow: Long-term forecasting using lightweight flow matching
Seyed Mohamad Moghadas, Bruno Cornelis, Adrian Munteanu
Multivariate time-series (MTS) forecasting is fundamental to applications ranging from urban mobility and resource management to climate modeling. While recent generative models ba…
HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking
Leandro Di Bella, Yangxintong Lyu, Bruno Cornelis +1
The evolution of Advanced Driver Assistance Systems (ADAS) has increased the need for robust and generalizable algorithms for multi-object tracking. Traditional statistical model-b…
Strada-LLM: Graph LLM for traffic prediction
Seyed Mohamad Moghadas, Bruno Cornelis, Alexandre Alahi +1
Traffic forecasting is pivotal for intelligent transportation systems, where accurate and interpretable predictions can significantly enhance operational efficiency and safety. A k…