RF (Radio Frequency) Vision Fusion refers to the integration or fusion of information from radio frequency-based sensors and systems with visual data. This fusion is employed in various applications such as sensor fusion for autonomous vehicles, surveillance systems, or any scenario where combining RF and visual data enhances perception and decision-making.

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About Us
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
- Automated Negotiation and Multimodal Time-Series Forecasting for Efficient Procurement
- Open-SAT: LLM-Guided Query Embedding Refinement for Open-Vocabulary Object Retrieval in Satellite Imagery
- Closed-Form Statistical Modeling of PDL-Induced SNR Margins for Reliable Optical Networks
- RunAgent: Interpreting Natural-Language Plans with Constraint-Guided Execution (IEEE)
- Event Classification by Physics-Informed Inpainting for Distributed Multichannel Acoustic Sensor with Partially Degraded Channels
- Learning to Tune OpticalWANs: A Field Deployment of Noise Models in Optical Networks
- Mix-Clap: Adaptive Fusion of Knowledge-Distilled Audio Embeddings for Noise-Aware Audio-Language Models
- PhyCo: Learning Controllable Physical Priors for Generative Motion
- GNPy as a Benchmark for Open and Disaggregated Optical Networks
- Solving Inverse Problems via a Score-Based Prior: An Approximation-Free Posterior Sampling Approach
- Quantitative Bounds for Length Generalization in Transformers
- Agentic Placement of Microservices on the Computing Continuum
- Learning to Route: A Rule-Driven Agent Framework for Hybrid-Source Retrieval-Augmented Generation
- Uncertainty-Guided Latent Diagnostic Trajectory Learning for Sequential Clinical Diagnosis
- HorizonWeaver: Generalizable Multi-Level Semantic Editing for Driving Scenes
Events
- NEC Labs America Attends ICML 2026 Seoul, South Korea July 6-11, 2026
- NEC Labs America Attends ACL 2026 San Diego July 2-7, 2026
- NEC Labs America Attends OECC June 28 – July 2, 2026
- NEC Labs America Attends CVPR 2026 in Denver, CO June 3-7, 2026
- Ezra Ip Presents at CLEO 2026 in Charlotte, NC on May 18th
- Future of Cloud Computing with GenAI: Kunal Rao at Cloud Computing 2026
- Eric C. Blow to Deliver Photonic AI Keynote at COOL Chips 29 in Tokyo on April 17th
- Yangmin Ding Presents at the 5th Workshop on Foundation Models of the Electric Grid on March 18th
- NEC Labs America Attending OFC 2026 Los Angeles, March 15-19
News
- How AI Can Transform the Way Companies Buy What They Need
- Open SAT: How We Taught AI to Search Satellite Images Like a Search Engine
- Training Small AI Models Without Blindly Trusting Big Teacher Models
- How Rule-Driven Routing Makes Retrieval-Augmented Generation Smarter
- Making Video AI Fast Enough for the Real World
- How Our AI Contributed to NASA’s Artemis Missions
- Rethinking Molecular Drug Design: From Generation to Control
- Driving the Future of Scene Editing with HorizonForge
- Beyond Explainability: How We Are Redefining Interpretability in AI
- The Best April Fools’ Day Hoaxes by Companies
- Influential NEC Researchers in the United States Who Helped Shape Modern Computing
