Information & computer science publications
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Like an Intuitive and Courteous Butler: a Proactive Personal Agent for Task Management
We characterize the properties desired of proactive behaviour by a personal assistant agent in the realm of task management, and present an extended agent cognition model that features a meta-level…
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Action Video Retrieval Based on Atomic Action Vocabulary
We propose an efficient action retrieval system that is based on a novel action representation and an effective video matching method.
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Vision-Based Perception for Autonomous Urban Navigation
We describe a low-cost vision-based sensing and positioning system that enables intelligent vehicles of the future to autonomously drive in an urban environment with traffic.
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Weakly Supervised Training for Parsing Mandarin Broadcast Transcripts
We compare co-training to self-training, and our results show that performance using co-training is significantly better than with self-training and both co-training and self-training with a small seed labeled corpus…
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Formal Verification and Automated Testing for Diagnostic and Monitoring Systems
In this paper, we outline these new methods, and describe a project to extend and apply them in combination to issues in verification and testing of diagnostic and monitoring systems.
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How Do We Certify for the Unexpected?
We propose that safety cases based on explicit goals, evidence, and argument provide a firmer foundation for assurance, and a framework within which it is possible to address the rare…
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Real-Time Global Localization with a Pre-Built Visual Landmark Database
In this paper, we study how to build a vision-based system for global localization with accuracies within 10 cm. for robots and humans operating both indoors and outdoors over wide…
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Collision Sensing by Stereo Vision and Radar Sensor Fusion
To take the advantages of both stereo cameras and radar, this paper proposes a fusion approach to accurately estimate the location, size, pose and motion information of a threat vehicle…
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Geo-Spatial Aerial Video Processing for Scene Understanding and Object Tracking
This paper presents an approach to extracting and using semantic layers from low altitude aerial videos for scene understanding and object tracking.
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Matching Vehicles Under Large Pose Transformations Using Approximate 3D Models and Piecewise MRF Model
We propose a robust object recognition method based on approximate 3D models that can effectively match objects under large viewpoint changes and partial occlusion.
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Discovering Class Specific Composite Features Through Discriminative Sampling with Swendsen-Wang Cut
This paper proposes a novel approach to discover a set of class specific composite features as the feature pool for the detection and classification of complex objects using AdaBoost.
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Building Segmentation for Densely Built Urban Regions Using Aerial LIDAR Data
We present a novel building segmentation system for densely built areas, containing thousands of buildings per square kilometer.