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Mats Sjöberg
Mats Sjöberg
Machine learning specialist at CSC
Bestätigte E-Mail-Adresse bei csc.fi - Startseite
Titel
Zitiert von
Zitiert von
Jahr
The MediaEval 2015 Affective Impact of Movies Task.
M Sjöberg, Y Baveye, H Wang, VL Quang, B Ionescu, E Dellandréa, ...
MediaEval 1436, 2015
1012015
The MeMAD submission to the WMT18 multimodal translation task
SA Grönroos, B Huet, M Kurimo, J Laaksonen, B Merialdo, P Pham, ...
arXiv preprint arXiv:1808.10802, 2018
762018
The mediaeval 2016 emotional impact of movies task
E Dellandréa, L Chen, Y Baveye, MV Sjöberg, C Chamaret
CEUR Workshop Proceedings, 2016
742016
MediaEval 2016 predicting media interestingness task
FL Claire Hélène Demarty, Mats Sjöberg, Bogdan Ionescu, Thanh Toan Do, Hanli ...
Working Notes Proceedings of the MediaEval 2016 Workshop, Barcelona, Spain, 2016
53*2016
Content-based prediction of movie style, aesthetics, and affect: Data set and baseline experiments
J Tarvainen, M Sjöberg, S Westman, J Laaksonen, P Oittinen
IEEE Transactions on Multimedia 16 (8), 2085-2098, 2014
482014
Vsd2014: a dataset for violent scenes detection in hollywood movies and web videos
M Schedi, M Sjöberg, I Mironică, B Ionescu, VL Quang, YG Jiang, ...
2015 13th International Workshop on Content-Based Multimedia Indexing (CBMI …, 2015
402015
The MediaEval 2014 Affect Task: Violent Scenes Detection.
M Sjöberg, B Ionescu, YG Jiang, VL Quang, M Schedl, CH Demarty
MediaEval, 2014
402014
PicSOM Experiments in TRECVID 2005.
M Koskela, M Sjöberg, V Viitaniemi, J Laaksonen, P Prentis
TRECVID, 2005
382005
Mediaeval 2018: Predicting media memorability task
R Cohendet, CH Demarty, N Duong, M Sjöberg, B Ionescu, TT Do
arXiv preprint arXiv:1807.01052, 2018
372018
PicSOM Experiments in TRECVID 2006.
M Sjöberg, H Muurinen, J Laaksonen, M Koskela
TRECVID, 2006
352006
Digital me: Controlling and making sense of my digital footprint
M Sjöberg, HH Chen, P Floréen, M Koskela, K Kuikkaniemi, T Lehtiniemi, ...
Symbiotic Interaction: 5th International Workshop, Symbiotic 2016, Padua …, 2017
332017
The Predicting Media Memorability Task at MediaEval 2019.
MG Constantin, B Ionescu, CH Demarty, NQK Duong, X Alameda-Pineda, ...
MediaEval, 2019
272019
Affect in multimedia: Benchmarking violent scenes detection
MG Constantin, LD Ştefan, B Ionescu, CH Demarty, M Sjöberg, M Schedl, ...
IEEE Transactions on Affective Computing 13 (1), 347-366, 2020
252020
RFA at MediaEval 2015 Affective Impact of Movies Task: A Multimodal Approach.
I Mironica, B Ionescu, M Sjöberg, M Schedl, M Skowron
MediaEval 1436, 2015
242015
Visual interestingness prediction: a benchmark framework and literature review
MG Constantin, LD Ştefan, B Ionescu, NQK Duong, CH Demarty, ...
International Journal of Computer Vision 129, 1526-1550, 2021
232021
Proactive information retrieval by capturing search intent from primary task context
M Koskela, P Luukkonen, T Ruotsalo, M Sjöberg, P Floréen
ACM Transactions on Interactive Intelligent Systems (TiiS) 8 (3), 1-25, 2018
222018
Predicting interestingness of visual content
CH Demarty, M Sjöberg, MG Constantin, NQK Duong, B Ionescu, TT Do, ...
Visual content indexing and retrieval with psycho-visual models, 233-265, 2017
202017
PicSOM Experiments in TRECVID 2011.
M Sjöberg, S Ishikawa, M Koskela, J Laaksonen, E Oja
TRECVID, 2011
192011
Rushes summarization with self-organizing maps
M Koskela, M Sjöberg, J Laaksonen, V Viitaniemi, H Muurinen
Proceedings of the international workshop on TRECVID video summarization, 45-49, 2007
182007
Using image segments in PicSOM CBIR system
M Sjöberg, J Laaksonen, V Viitaniemi
Image Analysis: 13th Scandinavian Conference, SCIA 2003 Halmstad, Sweden …, 2003
132003
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