The DOI matches its Crossref record; 68 of the 73 references it cites were found in a registry or an index.
Video-based emotion recognition in the wild using deep transfer learning and score fusion
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Citations
Cites
ImageNet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2017) · Communications of the ACM · doi:10.1145/3065386 · Cited by 112,155
Distinctive Image Features from Scale-Invariant Keypoints
Lowe, D. G. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000029664.99615.94 · Cited by 55,589
Histograms of Oriented Gradients for Human Detection
Dalal, N., & Triggs, B. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) · doi:10.1109/cvpr.2005.177 · Cited by 33,584
Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
Ojala, T., Pietikainen, M., & Maenpaa, T. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2002.1017623 · Cited by 15,398
Least Squares Support Vector Machine Classifiers
Suykens, J., & Vandewalle, J. (1999) · Neural Processing Letters · doi:10.1023/a:1018628609742 · Cited by 9,481
Extreme Learning Machine for Regression and Multiclass Classification
Huang, G.-B., Zhou, H., Ding, X., & Zhang, R. (2011) · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · doi:10.1109/tsmcb.2011.2168604 · Cited by 5,575
Parkhi, O. M., Vedaldi, A., & Zisserman, A. (2015) · Procedings of the British Machine Vision Conference 2015 · doi:10.5244/c.29.41 · Cited by 5,479
Lucey, P., Cohn, J. F., Kanade, T., Saragih, J., Ambadar, Z., & Matthews, I. (2010) · 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops · doi:10.1109/cvprw.2010.5543262 · Cited by 4,303
Return of the Devil in the Details: Delving Deep into Convolutional Nets
Chatfield, K., Simonyan, K., Vedaldi, A., & Zisserman, A. (2014) · Proceedings of the British Machine Vision Conference 2014 · doi:10.5244/c.28.6 · Cited by 3,335
Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions
Zhao, G., & Pietikainen, M. (2007) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.1110 · Cited by 2,846
Flagged first, then by citations
5 of the 73 references couldn’t be matched to a known paper.
Research works printed but not linked: 2
- Rao, 1971, vol. 7
- Rifkin, 2003, Regularized least-squares classification, NATO Sci. Ser. Sub Ser. III Comput. Syst. Sci., 190, 131
Cited by
Sorted by citations
Deep Facial Expression Recognition: A Survey
Li, S., & Deng, W. (2020) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2020.2981446 · Cited by 2,175
“[116] suggested that VGG-Face, which was trained for FR, overwhelmed ImageNet, which was developed for objected recognition.”
BackgroundEmotion recognition using multi-modal data and machine learning techniques: A tutorial and review
Zhang, J., Yin, Z., Chen, P., & Nichele, S. (2020) · Information Fusion · doi:10.1016/j.inffus.2020.01.011 · Cited by 806
A Review of Deep Transfer Learning and Recent Advancements
Iman, M., Arabnia, H. R., & Rasheed, K. (2023) · Technologies · doi:10.3390/technologies11020040 · Cited by 789
“[32] 2017 Video-based emotion recognition in the wild using deep transfer learning and score fusion video (audio & visual) yes Finetuning yes VGG-Face Human science / psychology”
MethodEmotion recognition using deep learning approach from audio–visual emotional big data
Hossain, M. S., & Muhammad, G. (2018) · Information Fusion · doi:10.1016/j.inffus.2018.09.008 · Cited by 460
Local Learning With Deep and Handcrafted Features for Facial Expression Recognition
Georgescu, M.-I., Ionescu, R. T., & Popescu, M. (2019) · IEEE Access · doi:10.1109/access.2019.2917266 · Cited by 351
“[30] employed SIFT, HOG and Local Gabor Binary Patterns (LGBP).”
BackgroundMethodInfluential
Metadata
- Authors
- Kaya, H., Gürpınar, F., & Salah, A. A.
- Affiliations
- Tekirdağ Namık Kemal University (TR)
- Boğaziçi University (TR)
- Corresponding author
- Kaya, Heysem
- Venue
- Image and Vision Computing
- Publisher
- Elsevier BV
- Published
- 2017-09
- Volume
- 65
- Pages
- 66-75
- ISSN
- 0262-8856 (ISSN-L)
- OpenAlex
- W2585658440
- Cited by
- 235
- References
- 73
- Citations by year
- 2026: 6 · 2025: 12 · 2024: 13 · 2023: 19 · 2022: 31 · 2021: 37 · 2020: 42 · 2019: 41 · 2018: 26 · 2017: 8
- FWCI
- 41.68
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Image and Vision Computing (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Emotion and Mood Recognition
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face and Expression Recognition
- Keywords
- video-based emotion recognition, in-the-wild emotion recognition, multimodal emotion recognition, facial expression recognition, transfer learning, score-level fusion, audiovisual integration, convolutional neural network features, fine-tuning
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