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39
Context Driven Scene Parsing with Attention to Rare Classes
"... This paper presents a scalable scene parsing algorithm based on image retrieval and superpixel matching. We fo-cus on rare object classes, which play an important role in achieving richer semantic understanding of visual scenes, compared to common background classes. Towards this end, we make two no ..."
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Cited by 5 (1 self)
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This paper presents a scalable scene parsing algorithm based on image retrieval and superpixel matching. We fo-cus on rare object classes, which play an important role in achieving richer semantic understanding of visual scenes, compared to common background classes. Towards this end, we make two
Contents Active Knowledge{Based Scene Analysis: : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 1
"... (20 pages (limit: 20 pages)) Abstract: We present a modular architecture for image understanding and ac-tive computer vision which consists of three major components: Sensor and actor interfaces required for data{driven active vision are encapsulated to hide machine{dependent parts; image segmentati ..."
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(20 pages (limit: 20 pages)) Abstract: We present a modular architecture for image understanding and ac-tive computer vision which consists of three major components: Sensor and actor interfaces required for data{driven active vision are encapsulated to hide machine{dependent parts; image
Mining Cultural Differences from a Large Number of Geotagged Photos ABSTRACT
"... We propose a novel method to detect cultural differences over the world automatically by using a large amount of geotagged images on the photo sharing Web sites such as Flickr. We employ the state-of-the-art object recognition technique developed in the research community of computer vision to mine ..."
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Cited by 2 (0 self)
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representative photos of the given concept for representative local regions from a large-scale unorganized collection of consumer-generated geotagged photos. The results help us understand how objects, scenes or events corresponding to the same given concept are visually different depending on local regions over
EURASIP Journal on Applied Signal Processing 2004:6, 786–797 c ○ 2004 Hindawi Publishing Corporation Interaction between High-Level and Low-Level Image Analysis for Semantic Video Object Extraction
, 2003
"... The task of extracting a semantic video object is split into two subproblems, namely, object segmentation and region segmentation. Object segmentation relies on aprioriassumptions, whereas region segmentation is data-driven and can be solved in an automatic manner. These two subproblems are not mutu ..."
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The task of extracting a semantic video object is split into two subproblems, namely, object segmentation and region segmentation. Object segmentation relies on aprioriassumptions, whereas region segmentation is data-driven and can be solved in an automatic manner. These two subproblems
Graduation Project: Recognition of Cadastre Forms Using Form De- scription Languages
, 2004
"... Computer vision, Pattern recognition, Multimedia data mining Specifically, learning from large scale multi-modal data; leveraging noisy web images and videos for semi-supervised learning; large scale object, scene and face recognition; semantic analysis and retrieval of large multi-media collections ..."
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Computer vision, Pattern recognition, Multimedia data mining Specifically, learning from large scale multi-modal data; leveraging noisy web images and videos for semi-supervised learning; large scale object, scene and face recognition; semantic analysis and retrieval of large multi
Episodic memory and episodic future thinking impairments in high-functioning autism spectrum disorder: An underlying difficulty with scene construction or self-projection? Neuropsychology. Advance online publication. doi:10.1037/neu0000005
- PNAS Proceedings of the National Academy of Sciences of the United States of America, 108, 421–426. doi:10.1073/pnas .1014076108
, 2013
"... Objective: There appears to be a common network of brain regions that underlie the ability to recall past personal experiences (episodic memory) and the ability to imagine possible future personal experiences (episodic future thinking). At the cognitive level, these abilities are thought to rely on ..."
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Cited by 1 (1 self)
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. Participants with ASD were recruited (a) via an advertisement on the "Research Projects: Be a Participant" page of The National Autistic Society U.K. Web site (www.autism.org.uk), (b) through local ASD support groups, (c) through the Durham University Service for Students with Disabilities, and (d
Commission III, Working Group III/2
"... Object identification and object processing in 3D point clouds have always posed challenges in terms of effectiveness and efficiency. In practice, this process is highly dependent on human interpretation of the scene represented by the point cloud data, as well as the set of modeling tools available ..."
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available for use. Such modeling algorithms are data-driven and concentrate on specific features of the objects, being accessible to numerical models. We present an approach that brings the human expert knowledge about the scene, the objects inside, and their representation by the data and the behavior
hardware and mobile web technology Master of Science Thesis in Programme Computer Systems and Networks
, 2013
"... Digitising statistics handling through ..."
RESEARCH STATMENT
"... The phenomenal growth in computing capabilities is transforming scientific research from being an experimentdriven discipline to a “data-driven ” science. Scientists are harnessing distributed computing resources and highthroughput equipment to generate petabytes of scientific data and metadata. The ..."
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in understanding and leveraging the role of provenance as well as trust in data integration and data management. My research demonstrates the synergistic use of artificial intelligence, Semantic Web, and database theory to address three aspects of provenance and trust management namely, (a) Modeling, (b) Querying
Acknowledgements
, 2006
"... First, I would like to thank to Dimka Karastoyanova and Mariano Cilia for all the fruitful discussions, their guidance and support through the course of this project. Thanks also to Prof. Alejandro Buchmann who sponsored my stay at Technische Universität Darmstadt during the spring of 2004. The spec ..."
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First, I would like to thank to Dimka Karastoyanova and Mariano Cilia for all the fruitful discussions, their guidance and support through the course of this project. Thanks also to Prof. Alejandro Buchmann who sponsored my stay at Technische Universität Darmstadt during the spring of 2004. The special thanks go to my advisor, Mariano Cilia, who has made all this possible. Finally, I’d like to thank to my family for all these years of support.
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