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1
An automated end-to-end pipeline for fine-grained video annotation using deep neural networks

Vandersmissen, Baptist; Sterckx, Lucas; Demeester, Thomas; Jalalvand, Azarakhsh; De Neve, Wesley; Van De Walle, Rik, 6th ACM International Conference on Multimedia Retrieval, ICMR 2016, pp.409 - 412, ACM (Association for Computing Machinery), 2016-06

2
Ghent university-iMinds at MediaEval 2013 diverse images: Relevance-based hierarchical clustering

Vandersmissen, Baptist; Tomar, Abhineshwar; Godin, Fréderic; De Neve, Wesley; Van De Walle, Rik, 2013 Multimedia Benchmark Workshop, MediaEval 2013, CEUR-WS, 2013-10

3
Ghent university-iMinds at MediaEval 2014 diverse images: Adaptive clustering with deep features

Vandersmissen, Baptist; Tomar, Abhineshwar; Godin, Fréderic; De Neve, Wesley; Van De Walle, Rik, Multimedia Benchmark Workshop, MediaEval 2014, CEUR-WS, 2014-10

4
The rise of mobile and social short-form video: An in-depth measurement study of Vine

Vandersmissen, Baptist; Godin, Fréderic; Tomar, Abhineshwar; De Neve, Wesley; Van De Walle, Rik, 1st International Workshop on Social Multimedia and Storytelling, SoMuS 2014, CEUR-WS, 2014-04-01

5
Towards Twitter hashtag recommendation using distributed word representations and a deep feed forward neural network

Tomar, Abhineshwar; Godin, Fréderic; Vandersmissen, Baptist; De Neve, Wesley; Van De Walle, Rik, 3rd International Conference on Advances in Computing, Communications and Informatics, ICACCI 2014, pp.362 - 368, Institute of Electrical and Electronics Engineers Inc., 2014-09

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