Fetching the paper…
Reading the bibliography…
This paper presents our approach to the One-Minute Gradual-Emotion Recognition (OMG-Emotion) Challenge, focusing on dimensional emotion recognition through visual analysis of the provided emotion videos.
In: 2000 IEEE International Conference on Multimedia and Expo. ICME2000. Proceedings. Latest Advances in the Fast Changing World of Multimedia (Cat. No. 00TH8532), vol. 3, pp. 1469–1472. IEEE (2000)
Avrithis, Y., Tsapatsoulis, N., Kollias, S.: Broadcast news parsing using visual cues: A robust face detection approach · 2000
Earlier work this paper cites.
In: K-Space PhD Students Workshop, Berlin, Germany, vol. 14. Citeseer (2007)
Simou, N., Kollias, S.: Fire: A fuzzy reasoning engine for impecise knowledge · 2007
Earlier work this paper cites.
In: Workshop on Inductive Reasoning and Machine Learning on the Semantic Web (2009)
Kollia, I., Simou, N., Stamou, G., Stafylopatis, A.: Interweaving knowledge representation and adaptive neural networks · 2009
Earlier work this paper cites.
IEEE transactions on pattern analysis and machine intelligence 32
Felzenszwalb, P.F., Girshick, R.B., McAllester, D., Ramanan, D.: Object detection with discriminatively trained part-based models · 2010
Earlier work this paper cites.
In: European Conference on Computer Vision, pp. 720–735. Springer (2014)
Mathias, M., Benenson, R., Pedersoli, M., Van Gool, L.: Face detection without bells and whistles · 2014
Earlier work this paper cites.
In: 2015 10th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP), pp. 1–6. IEEE (2015)
Kollias, D., Marandianos, G., Raouzaiou, A., Stafylopatis, A.G.: Interweaving deep learning and semantic techniques for emotion analysis in human-machine interaction · 2015
Earlier work this paper cites.
In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770–778 (2016)
He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition · 2016
Earlier work this paper cites.
In: 2016 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1–8. IEEE (2016)
Kollias, D., Tagaris, A., Stafylopatis, A.: On line emotion detection using retrainable deep neural networks · 2016
Earlier work this paper cites.
In: Proceedings of the 19th ACM International Conference on Multimodal Interaction, pp. 524–528. ACM (2017)
Dhall, A., Goecke, R., Ghosh, S., Joshi, J., Hoey, J., Gedeon, T.: From individual to group-level emotion recognition: Emotiw 5.0 · 2017
Earlier work this paper cites.
In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 26–33 (2017)
Kollias, D., Nicolaou, M.A., Kotsia, I., Zhao, G., Zafeiriou, S.: Recognition of affect in the wild using deep neural networks · 2017
Cited alongside, same era.
In: 2017 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1–8. IEEE (2017)
Kollias, D., Yu, M., Tagaris, A., Leontidis, G., Stafylopatis, A., Kollias, S.: Adaptation and contextualization of deep neural network models · 2017
Cited alongside, same era.
Ringeval, F., Schuller, B., Valstar, M., Gratch, J., Cowie, R., Scherer, S., Mozgai, S., Cummins, N., Schmi, M., Pantic, M.: Avec 2017–real-life depression, and a ect recognition workshop and challenge (2017)
2017
Cited alongside, same era.
In: International Conference on Engineering Applications of Neural Networks, pp. 391–403. Springer (2017)
Tagaris, A., Kollias, D., Stafylopatis, A.: Assessment of parkinson’s disease based on deep neural networks · 2017
Cited alongside, same era.
Complex & Intelligent Systems 4
Kollias, D., Tagaris, A., Stafylopatis, A., Kollias, S., Tagaris, G.: Deep neural architectures for prediction in healthcare · 2018
Closest in time.
arXiv preprint arXiv:1811.07770 (2018)
Kollias, D., Zafeiriou, S.: Aff-wild2: Extending the aff-wild database for affect recognition · 2018
Closest in time.
arXiv preprint arXiv:1811.07771 (2018)
Kollias, D., Zafeiriou, S.: A multi-task learning & generation framework: Valence-arousal, action units & primary expressions · 2018
Closest in time.
International Journal on Artificial Intelligence Tools 27
Tagaris, A., Kollias, D., Stafylopatis, A., Tagaris, G., Kollias, S.: Machine learning for neurodegenerative disorder diagnosis—survey of practices and launch of benchmark dataset · 2018
Closest in time.
arXiv preprint arXiv:1910.11111 (2019)
Kollias, D., Sharmanska, V., Zafeiriou, S.: Face behavior \ \backslash a la carte: Expressions, affect and action units in a single network · 2019
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Zafeiriou, S., Kollias, D., Nicolaou, M.A., Papaioannou, A., Zhao, G., Kotsia, I.: Aff-wild: Valence and arousal’in-the-wild’challenge · 2017
Cited alongside, same era.
arXiv preprint arXiv:1803.05434 (2018)
Barros, P., Churamani, N., Lakomkin, E., Siqueira, H., Sutherland, A., Wermter, S.: The omg-emotion behavior dataset · 2018
Cited alongside, same era.
In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 0–0 (2018)
Kollias, D., Cheng, S., Pantic, M., Zafeiriou, S.: Photorealistic facial synthesis in the dimensional affect space · 2018
Cited alongside, same era.
arXiv preprint arXiv:1811.05027 (2018)
Kollias, D., Cheng, S., Ververas, E., Kotsia, I., Zafeiriou, S.: Generating faces for affect analysis · 2018
Cited alongside, same era.
Closest in time.
International Journal of Computer Vision 127
Kollias, D., Tzirakis, P., Nicolaou, M.A., Papaioannou, A., Zhao, G., Schuller, B., Kotsia, I., Zafeiriou, S.: Deep affect prediction in-the-wild: Aff-wild database and challenge, deep architectures, and beyond · 2019
Closest in time.
arXiv preprint arXiv:1910.01417 (2019)
Kollias, D., Zafeiriou, S.: Exploiting multi-cnn features in cnn-rnn based dimensional emotion recognition on the omg in-the-wild dataset · 2019
Closest in time.
arXiv preprint arXiv:1910.04855 (2019)
Kollias, D., Zafeiriou, S.: Expression, affect, action unit recognition: Aff-wild2, multi-task learning and arcface · 2019
Closest in time.