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SMART: Simultaneous Multi-Agent Recurrent Trajectory Prediction
ECCV 2020 | We propose advances that address two key challenges in future trajectory prediction: (i) multi-modality in both training data and predictions and (ii) constant time inference regardless of number of agents. Existing trajectory predictions are fundamentally limited by lack of diversity in training data, which is difficult to acquire with sufficient coverage of possible modes.
Collaborators: Manmohan Chandraker, Francesco Pittaluga
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NEC Laboratories America, Inc. (NEC Labs) is the US-based center for NEC Corporation’s global network of corporate research laboratories. Our diverse research groups collaborate with industry, academia and governments to provide disruptive solutions to complex problems. A leader in the integration of IT and network technologies with more than 100 years of expertise, NEC provides a combination of products and solutions that cross-utilize the company’s experience and global resources to meet the complex and ever-changing needs of its customers.
Recent Publications
- Quantitative Bounds for Length Generalization in Transformers
- Sound Event Classification meets Data Assimilation with Distributed Fiber-Optic Sensing
- SlideCraft: Context-aware Slides Generation Agent
- TalentScout: Multimodal AI-Driven Expert Finding in Organizations
- AutoScape: Geometry-Consistent Long-Horizon Scene Generation
- DWIM: Towards Tool-aware Visual Reasoning via Discrepancy-aware Workflow Generation & Instruct-Masking Tuning
- Mapillary Vistas Validation for Fine-Grained Traffic Signs: A Benchmark Revealing Vision-Language Model Limitations
- LANGTRAJ: Diffusion Model and Dataset for Language-Conditioned Trajectory Simulation
- DiscussLLM: Teaching Large Language Models When to Speak
- Bifröst: Peer-to-peer Load-balancing for Function Execution in Agentic AI Systems
- Harnessing Vision Models for Time Series Analysis: A Survey
- Multi-modal Time Series Analysis: A Tutorial and Survey
- ICeTEA: Mixture of Detectors for Metric-Log Anomaly Detection
- Roadside Multi-LiDAR Data Fusion for Enhanced Traffic Safety
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- On Synthesizing Data for Context Attribution in Question Answering
- Feasibility study on scour monitoring for subsea cables of offshore wind turbines using distributed fiber optic sensors
- Group Relative Augmentation for Data Efficient Action Detection
- Uncertainty Propagation on LLM Agent
- Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery
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- Murugan Sankaradas presents TalentScout: Multimodal AI-Driven Expert Finding in Organizations at PICom2025 on October 21st
- Abhishek Aich is Organizing the Anomaly Detection with Foundation Models Workshop, held in conjunction with ICCV 2025
- Kunal Rao presents SlideCraft: Context-Aware Slides Generation Agent at PICom 2025 on October 21st
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