Computer vision
SRI pushes the frontiers of computer vision to enable machines to see, understand and remember. Our end-to-end video and processing technologies make computer vision work in the real world in applications including robotics, vehicles and people-worn systems.
Core technologies and applications
SRI’s Center for Vision Technologies tackles data acquisition and exploitation challenges across a broad range of industries and applications. Our researchers work on cross-disciplinary teams including robotics and artificial intelligence to advance, combine and customize technologies in areas including:
Computational sensing
Smart vision
Multi-sensor fusion
Embedded, low-power processing
2D-3D reasoning
GPS-denied navigation
3D modeling/mapping
Augmented reality
Surveillance
Biometrics
Collaborative autonomy
Semantic reasoning
Decision-making
AI-based control
Hierarchical planning
Human behavior modeling
Intelligent interactive systems
Human state assessment
Emotion detection
Communicating with computers
Human activity understanding
Vision analytics
Image and video search
Activity recognition
Fine-grain recognition
Social media analytics
Radio frequency machine learning (RFML)
Machine learning
Explainable AI
Lifelong learning
Creative AI
Approximate computing
Robust AI
Publications
RGB2LIDAR: Towards Solving Large-Scale Cross-Modal Visual Localization
SRI Authors: Han-Pang Chiu, Supun Samarasekera, Rakesh “Teddy” Kumar
Conference Paper October 12, 2020
Semantically-Aware Attentive Neural Embeddings for 2D Long-Term Visual Localization
SRI Authors: Han-Pang Chiu, Supun Samarasekera, Rakesh “Teddy” Kumar
Conference Paper September 9, 2019
Multi-Sensor Fusion for Motion Estimation in Visually-Degraded Environments
SRI Authors: Han-Pang Chiu, Supun Samarasekera
Conference Paper September 2, 2019
Augmented Reality Driving Using Semantic Geo-Registration
SRI Authors: Han-Pang Chiu, Supun Samarasekera, Rakesh “Teddy” Kumar
Conference Paper March 18, 2018
Featured researchers
SRI offers a unique blend of academia and industry, which offers an opportunity to work on problems that involve research and are practically relevant.
Karan Sikka
Computer Scientist, Information & Computing Sciences
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