Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Karas, Vincent"'
Autor:
Triantafyllopoulos, Andreas, Kathan, Alexander, Baird, Alice, Christ, Lukas, Gebhard, Alexander, Gerczuk, Maurice, Karas, Vincent, Hübner, Tobias, Jing, Xin, Liu, Shuo, Mallol-Ragolta, Adria, Milling, Manuel, Ottl, Sandra, Semertzidou, Anastasia, Rajamani, Srividya Tirunellai, Yan, Tianhao, Yang, Zijiang, Dineley, Judith, Amiriparian, Shahin, Bartl-Pokorny, Katrin D., Batliner, Anton, Pokorny, Florian B., Schuller, Björn W.
Recent years have seen a rapid increase in digital medicine research in an attempt to transform traditional healthcare systems to their modern, intelligent, and versatile equivalents that are adequately equipped to tackle contemporary challenges. Thi
Externí odkaz:
http://arxiv.org/abs/2301.10477
Autor:
Schuller, Björn W., Amiriparian, Shahin, Batliner, Anton, Gebhard, Alexander, Gerzcuk, Maurice, Karas, Vincent, Kathan, Alexander, Seizer, Lennart, Löchner, Johanna
Charisma is considered as one's ability to attract and potentially also influence others. Clearly, there can be considerable interest from an artificial intelligence's (AI) perspective to provide it with such skill. Beyond, a plethora of use cases op
Externí odkaz:
http://arxiv.org/abs/2301.00142
Vocal bursts play an important role in communicating affect, making them valuable for improving speech emotion recognition. Here, we present our approach for classifying vocal bursts and predicting their emotional significance in the ACII Affective V
Externí odkaz:
http://arxiv.org/abs/2209.07384
Autor:
Song, Meishu, Yang, Zijiang, Triantafyllopoulos, Andreas, Jing, Xin, Karas, Vincent, Jiangjian, Xie, Zhang, Zixing, Yoshiharu, Yamamoto, Schuller, Bjoern W.
We propose a novel Dynamic Restrained Uncertainty Weighting Loss to experimentally handle the problem of balancing the contributions of multiple tasks on the ICML ExVo 2022 Challenge. The multitask aims to recognize expressed emotions and demographic
Externí odkaz:
http://arxiv.org/abs/2206.11049
Autor:
Karas, Vincent, Tellamekala, Mani Kumar, Mallol-Ragolta, Adria, Valstar, Michel, Schuller, Björn W.
In this paper, we present our submission to 3rd Affective Behavior Analysis in-the-wild (ABAW) challenge. Learningcomplex interactions among multimodal sequences is critical to recognise dimensional affect from in-the-wild audiovisual data. Recurrenc
Externí odkaz:
http://arxiv.org/abs/2203.13285
Systems for the automatic recognition and detection of automotive parts are crucial in several emerging research areas in the development of intelligent vehicles. They enable, for example, the detection and modelling of interactions between human and
Externí odkaz:
http://arxiv.org/abs/2006.08521
Autor:
Amiriparian, Shahin, Winokurow, Pawel, Karas, Vincent, Ottl, Sandra, Gerczuk, Maurice, Schuller, Björn W.
Motivated by the attention mechanism of the human visual system and recent developments in the field of machine translation, we introduce our attention-based and recurrent sequence to sequence autoencoders for fully unsupervised representation learni
Externí odkaz:
http://arxiv.org/abs/2005.08722
Autor:
Mohamed, Mostafa M., Nessiem, Mina A., Batliner, Anton, Bergler, Christian, Hantke, Simone, Schmitt, Maximilian, Baird, Alice, Mallol-Ragolta, Adria, Karas, Vincent, Amiriparian, Shahin, Schuller, Björn W.
Publikováno v:
In Pattern Recognition February 2022 122
Akademický článek
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Publikováno v:
IEEE Transactions on Intelligent Transportation Systems; 2024, Vol. 25 Issue: 6 p4918-4932, 15p