MIN Faculty
Department of Informatics
Knowledge Technology

Pablo Vinicius Alves de Barros

PhD Student with Knowledge Technology Group

Contact Info

Address University of Hamburg
Department of Informatics
Vogt Koelln Str. 30
22527 Hamburg, Germany
Office: F-216
Phone: +49 40 428 83 2535
Fax: +49 40 428 83 2515
Email:


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Research Interests


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Projects


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Short Curriculum Vitae

Since May 2016 Researcher Associate to the project Cross Modal Learning with Knowledge Technology Research Group, Department of Computer Science, University of Hamburg, Germany
October 2013 - October 2016 PhD Student supervised by Prof. Stefan Wermter with Knowledge Technology Research Group, Department of Computer Science, University of Hamburg, Germany
August 2011 - August 2013 MSc in Computer Engineering with enphasis in Computational Intelligence, University of Pernambuco, Brazil
January 2007 - July 2011 BSc in Information Sytstems, Federal Rural University of Pernambuco, Brazil

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Publications








Barros, P., and Wermter, S. Developing crossmodal expression recognition based on a deep neural model. Adaptive Behavior, SAGE, 2016.

 

Hinz, T., Barros, P., and Wermter, S. The Effects of Regularization on Learning Facial Expressions with Convolutional Neural Networks. Proceedings of the 25th International Conference on Artificial Neural Networks (ICANN2016), Part II, LNCS 9887, pp. 80-87, Barcelona, Spain, September 2016.

 

Barros, P. , Weber, C., Wermter, S. Learning Auditory Representations for Emotion Recognition. Proceedings of International Joint Conference on Neural Networks (IJCNN/WCCI), Vancouver, Canada, July 2016.

 

Mousavi, N., Siqueira, H., Barros, P., Fernandes, B., Wermter, S. Understanding How Deep Neural Networks Learn Face Expressions. Proceedings of International Joint Conference on Neural Networks (IJCNN/WCCI), Vancouver, Canada, July 2016.

 

Speck, D., Barros, P., Weber, C. and Wermter, S. Ball Localization for Robocup Soccer using Convolutional Neural Networks. RoboCup Symposium, Leipzig, Germany, 2016. - Best Paper Award

 

Tsironi, E., Barros, P., and Wermter, S. Gesture Recognition with a Convolutional Long Short-Term Memory Recurrent Neural Network. Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), pp. 213-218, Bruges, Belgium, 2016.

 

Barros, P., Strahl, E., Wermter, S. The iCub Chronicles - Attention to Emotions! , Proceedings of the 10th AAAI Video Competition at the Conference on Artificial Intelligence (AAAI-16), Phoenix, USA, 2016.

 

Barros, P., Jirak, D., Weber, C., Wermter, S. Multimodal emotional state recognition using sequence-dependent deep hierarchical features. Neural Networks, Volume 72, Pages 140-151, doi:10.1016/j.neunet.2015.09.009, December, 2015. (Elsevier)

 

Barros, P., Weber, C., Wermter, S. Emotional Expression Recognition with a Cross-Channel Convolutional Neural Network for Human-Robot Interaction. Proceedings of the IEEE-RAS International Conference on Humanoid Robots (Humanoids), Seoul, South Korea, 2015.

 

Barros, P., Wermter, S. Recognizing Complex Mental States with Deep Hierarchical Features for Human-Robot Interaction. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Hamburg, Germany, 2015.

 

Hinaut, X., Twiefel, J., Borghetti Soares, M., Barros, P., Mici, L., Wermter, S. Humanoidly Speaking – How the Nao humanoid robot can learn the name of objects and interact with them through common speech. International Joint Conference on Artificial Intelligence (IJCAI), Video Competition, Buenos Aires, Argentina, 2015.

 

Hamester, D., Barros, P., Wermter, S. Face Expression Recognition with a 2-Channel Convolutional Neural Network. Proceedings of International Joint Conference on Neural Networks (IJCNN), pp. 1787-1794, Killarney, Ireland, 2015.

 

Jirak, D., Barros, P.,Wermter, S. Dynamic Gesture Recognition Using Echo State Networks. Proceedings of 23th European Symposium on Artifical Neural Networks, Computational Intelligence and Machine Learning, ESANN'15, pp. 475-480, Bruges, Belgium, 2015.

 

Borghetti Soares, M., Barros, P., Parisi, G. I.,Wermter, S. Learning objects from RGB-D sensors using point cloud-based neural networks. Proceedings of 23th European Symposium on Artifical Neural Networks, Computational Intelligence and Machine Learning, ESANN'15, pp. 439-444, Bruges, Belgium, 2015.

 

Barros, P., Parisi, G. I., Jirak D. and Wermter, S. Real-time Gesture Recognition Using a Humanoid Robot with a Deep Neural Architecture. Proceedings of the IEEE-RAS International Conference on Humanoid Robots (Humanoids), pp. 83-88, Spain, November, 2014.

 

Borghetti Soares, M., Barros, P., Wermter, S. Learning Objects From RGB-D Sensors for Cleaning Tasks Using a Team of Cooperative Humanoid Robots. Proceedings of 15th Towards Autonomous Robots, TAROS 2014, LNAI 8717, pp. 273-274, Springer Heidelberg. Birmingham, UK, October 1-3, 2014.

 

Barros, P., Magg, S., Weber, C., Wermter, S. A Multichannel Convolutional Neural Network for Hand Posture Recognition. In Wermter, S., et al., editors. Proceedings of the 24th International Conference on Artificial Neural Networks (ICANN 2014), pp. 403-410, Springer Heidelberg. Hamburg, DE, September 2014.

 

Parisi, G. I., Barros, P.,Wermter, S. FINGeR: Framework for Interactive Neural-based Gesture Recognition. Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN '14), pp. 443-447, Bruges, Belgium, 2014.

 

Barros, P., Junior, N., Bisneto, J., Fernandes, B., Bezerra, B., Fernandes, S. An Effective Dynamic Gesture Recognition System Based on the Feature Vector Reduction for SURF and LCS. In Mladenov, V., et al., editors, Proceedings of the 23rd International Conference on Artificial Neural Networks (ICANN 2013), LNCS 8131, pp 412-419, Springer Heidelberg. Sofia, BG, September 2013

 

Barros, P., Junior, N., Bisneto, J., Fernandes, B., Bezerra, B., Fernandes, S. An Effective Dynamic Gesture Recognition System Based on the Feature Vector Reduction for SURF and LCS. In Mladenov, V., et al., editors, Proceedings of the 23rd International Conference on Artificial Neural Networks (ICANN 2013), LNCS 8131, pp 412-419, Springer Heidelberg. Sofia, BG, September 2013

 

Barros, P., Junior, N., Bisneto, J., Fernandes, B., Bezerra, B., Fernandes, S. Convexity local contour sequences for gesture recognition. In: the 28th Annual ACM Symposium, 2013, Coimbra. Proceedings of the 28th Annual ACM Symposium on Applied Computing - SAC '13. New York: ACM Press. p. 34.