Multimodal Representation

Video2vec Embeddings Recognize Events when Examples are Scarce
This paper aims for event recognition when video examples are scarce or even completely absent. The key in such a challenging setting …
Amirhossein Habibian, Thomas Mensink, Cees GM Snoek
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Video2vec Embeddings Recognize Events when Examples are Scarce
Discovering Semantic Vocabularies for Cross-Media Retrieval
This paper proposes a data-driven approach for cross-media retrieval by automatically learning its underlying semantic vocabulary. …
Amirhossein Habibian, Thomas Mensink, Cees GM Snoek
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Discovering Semantic Vocabularies for Cross-Media Retrieval
Videostory: A New Multimedia Embedding for Few-Example Recognition and Translation of Events
This paper proposes a data-driven approach for cross-media retrieval by automatically learning its underlying semantic vocabulary. …
Amirhossein Habibian, Thomas Mensink, Cees GM Snoek
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Videostory: A New Multimedia Embedding for Few-Example Recognition and Translation of Events
Recommendations for recognizing video events by concept vocabularies
Representing videos using vocabularies composed of concept detectors appears promising for generic event recognition. While many have …
Amirhossein Habibian, Cees GM Snoek
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Recommendations for recognizing video events by concept vocabularies
Composite Concept Discovery for Zero-shot Video Event Detection
R We consider automated detection of events in video without the use of any visual training examples. A common approach is to represent …
Amirhossein Habibian, Thomas Mensink, Cees GM Snoek
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Composite Concept Discovery for Zero-shot Video Event Detection
Recommendations for Video Event Recognition using Concept Vocabularies
Representing videos using vocabularies composed of concept detectors appears promising for event recognition. While many have recently …
Amirhossein Habibian, Koen EA van de Sande, Cees GM Snoek
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Recommendations for Video Event Recognition using Concept Vocabularies