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Content-Based Prediction of Movie Style, Aesthetics, and Affect: Data Set and Baseline Experiments.

J. Tarvainen, M. Sjöberg, S. Westman, J. Laaksonen, and P. Oittinen. IEEE Trans. Multim., 16 (8): 2085-2098 (2014)

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Jorma Koivulehto

Jari Laaksonen

Jorma Haßfeld

Jorma Tiainen

Jorma Daniel Lünenbürger

Other publications of authors with the same name

Image pseudo tag generation with Deep Boltzmann machine anc topic-concept similarity map.S. Ishikawa, J. Laaksonen, and J. Karhunen. IJCNN, page 1305-1312. IEEE, (2017)Learning a Dynamic Cross-Modal Network for Multispectral Pedestrian Detection.J. Xie, R. Anwer, H. Cholakkal, J. Nie, J. Cao, J. Laaksonen, and F. Khan. ACM Multimedia, page 4043-4052. ACM, (2022)PiTL: Cross-modal Retrieval with Weakly-supervised Vision-language Pre-training via Prompting.Z. Guo, T. Wang, S. Pehlivan, A. Radman, and J. Laaksonen. SIGIR, page 2261-2265. ACM, (2023)Optimal Stopping and Constraints for Diffusion Models of Signals with Discontinuities.R. Girdziusas, and J. Laaksonen. ECML, volume 3720 of Lecture Notes in Computer Science, page 576-583. Springer, (2005)PicSOM Experiments in TRECVID 2012.M. Sjöberg, S. Ishikawa, M. Koskela, J. Laaksonen, and E. Oja. TRECVID, National Institute of Standards and Technology (NIST), (2012)Gaussian Process Regression with Fluid Hyperpriors.R. Girdziusas, and J. Laaksonen. ICONIP, volume 3316 of Lecture Notes in Computer Science, page 567-572. Springer, (2004)Combining Holistic and Part-based Deep Representations for Computational Painting Categorization.R. Anwer, F. Khan, J. van de Weijer, and J. Laaksonen. ICMR, page 339-342. ACM, (2016)PicSOM Experiments in TRECVID 2009.M. Sjöberg, V. Viitaniemi, M. Koskela, and J. Laaksonen. TRECVID, National Institute of Standards and Technology (NIST), (2009)Learning Subspace Classifiers and Error-Corrective Feature Extraction.J. Laaksonen, and E. Oja. IJPRAI, 12 (4): 423-436 (1998)Multi-stream Convolutional Networks for Indoor Scene Recognition.R. Anwer, F. Khan, J. Laaksonen, and N. Zaki. CAIP (1), volume 11678 of Lecture Notes in Computer Science, page 196-208. Springer, (2019)

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Disambiguation of "Laaksonen, Jorma"

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Content-Based Prediction of Movie Style, Aesthetics, and Affect: Data Set and Baseline Experiments.

Please choose a person to relate this publication to

Jorma Koivulehto

Jari Laaksonen

Jorma Haßfeld

Jorma Tiainen

Jorma Daniel Lünenbürger

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Laaksonen, Jorma"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Content-Based Prediction of Movie Style, Aesthetics, and Affect: Data Set and Baseline Experiments.

Please choose a person to relate this publication to

Jorma Koivulehto

Jari Laaksonen

Jorma Haßfeld

Jorma Tiainen

Jorma Daniel Lünenbürger

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Content-Based Prediction of Movie Style, Aesthetics, and Affect: Data Set and Baseline Experiments.