194 citations · 1.1k across the 147 of their papers we have counts for
6 papers · 1 filter
VideoStory Embeddings Recognize Events when Examples are Scarce
Amirhossein Habibian, Thomas Mensink, Cees G. M. Snoek
This paper aims for event recognition when video examples are scarce or even completely absent. The key in such a challenging setting is a semantic video representation. Rather tha…
Objects2action: Classifying and localizing actions without any video example
Mihir Jain, Jan C. van Gemert, Thomas Mensink +1
The goal of this paper is to recognize actions in video without the need for examples. Different from traditional zero-shot approaches we do not demand the design and specification…
Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets for Future Tasks
Efstratios Gavves, Thomas Mensink, Tatiana Tommasi +2
How can we reuse existing knowledge, in the form of available datasets, when solving a new and apparently unrelated target task from a set of unlabeled data? In this work we make a…
No Spare Parts: Sharing Part Detectors for Image Categorization
Pascal Mettes, Jan C. van Gemert, Cees G. M. Snoek
This work aims for image categorization using a representation of distinctive parts. Different from existing part-based work, we argue that parts are naturally shared between image…
TagBook: A Semantic Video Representation without Supervision for Event Detection
Masoud Mazloom, Xirong Li, Cees G. M. Snoek
We consider the problem of event detection in video for scenarios where only few, or even zero examples are available for training. For this challenging setting, the prevailing sol…
Socializing the Semantic Gap: A Comparative Survey on Image Tag Assignment, Refinement and Retrieval
Xirong Li, Tiberio Uricchio, Lamberto Ballan +3
Where previous reviews on content-based image retrieval emphasize on what can be seen in an image to bridge the semantic gap, this survey considers what people tag about an image.…