Unsupervised Grounding of Textual Descriptions of Object Features and Actions in Video

Our paper titled "Unsupervised Grounding of Textual Descriptions of Object Features and Actions in Video" has been accepted for publication in Principles of Knowledge Representation and Reasoning (KR 2016). Abstract We propose a novel method for learning visual concepts and their correspondence to the words of a natural language. The concepts and correspondences are jointly … Continue reading Unsupervised Grounding of Textual Descriptions of Object Features and Actions in Video

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Unsupervised Learning of Qualitative Motion Behaviours by a Mobile Robot

Our paper titled "Unsupervised Learning of Qualitative Motion Behaviours by a Mobile Robot" got accepted in the main track of Autonomous Agents and Multiagent Systems (AAMAS 2016), taking place in Singapore. Abstract The success of mobile robots, in daily living environments, depends on their capabilities to understand human movements and interact in a safe manner. … Continue reading Unsupervised Learning of Qualitative Motion Behaviours by a Mobile Robot