| An analysis of convolutional long short-term memory recurrent neural networks for gesture recognition E Tsironi, P Barros, C Weber, S Wermter Neurocomputing 268, 76-86, 2017 | 280 | 2017 |
| Face expression recognition with a 2-channel convolutional neural network D Hamester, P Barros, S Wermter 2015 international joint conference on neural networks (IJCNN), 1-8, 2015 | 171 | 2015 |
| The OMG-emotion behavior dataset P Barros, N Churamani, E Lakomkin, H Siqueira, A Sutherland, S Wermter 2018 International Joint Conference on Neural Networks (IJCNN), 1-7, 2018 | 138 | 2018 |
| Emotion-modulated attention improves expression recognition: A deep learning model P Barros, GI Parisi, C Weber, S Wermter Neurocomputing 253, 104-114, 2017 | 106 | 2017 |
| Developing crossmodal expression recognition based on a deep neural model P Barros, S Wermter Adaptive behavior 24 (5), 373-396, 2016 | 106 | 2016 |
| Multimodal emotional state recognition using sequence-dependent deep hierarchical features P Barros, D Jirak, C Weber, S Wermter Neural Networks 72, 140-151, 2015 | 106 | 2015 |
| A multimodal approach using deep learning for fall detection YM Galvão, J Ferreira, VA Albuquerque, P Barros, BJT Fernandes Expert Systems with Applications 168, 114226, 2021 | 100 | 2021 |
| A multichannel convolutional neural network for hand posture recognition P Barros, S Magg, C Weber, S Wermter Artificial Neural Networks and Machine Learning–ICANN 2014: 24th …, 2014 | 98 | 2014 |
| The facechannel: a fast and furious deep neural network for facial expression recognition P Barros, N Churamani, A Sciutti SN Computer Science 1 (6), 321, 2020 | 69 | 2020 |
| Ball localization for robocup soccer using convolutional neural networks D Speck, P Barros, C Weber, S Wermter RoboCup 2016: Robot World Cup XX 20, 19-30, 2017 | 64 | 2017 |
| Emotional expression recognition with a cross-channel convolutional neural network for human-robot interaction P Barros, C Weber, S Wermter 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids …, 2015 | 62 | 2015 |
| A dynamic gesture recognition and prediction system using the convexity approach P Barros, NT Maciel-Junior, BJT Fernandes, BLD Bezerra, ... Computer Vision and Image Understanding 155, 139-149, 2017 | 58 | 2017 |
| Real-time gesture recognition using a humanoid robot with a deep neural architecture P Barros, GI Parisi, D Jirak, S Wermter 2014 IEEE-RAS International Conference on Humanoid Robots, 646-651, 2014 | 57 | 2014 |
| Gesture Recognition with a Convolutional Long Short-Term Memory Recurrent Neural Network. E Tsironi, PVA Barros, S Wermter ESANN, 2016 | 55 | 2016 |
| Do i have a personality? endowing care robots with context-dependent personality traits A Andriella, H Siqueira, D Fu, S Magg, P Barros, S Wermter, C Torras, ... International Journal of Social Robotics 13, 2081-2102, 2021 | 46 | 2021 |
| Teaching emotion expressions to a human companion robot using deep neural architectures N Churamani, M Kerzel, E Strahl, P Barros, S Wermter 2017 international joint conference on neural networks (IJCNN), 627-634, 2017 | 40 | 2017 |
| Emotion recognition from body expressions with a neural network architecture N Elfaramawy, P Barros, GI Parisi, S Wermter Proceedings of the 5th international conference on human agent interaction …, 2017 | 38 | 2017 |
| Understanding how deep neural networks learn face expressions N Mousavi, H Siqueira, P Barros, B Fernandes, S Wermter 2016 International Joint Conference on Neural Networks (IJCNN), 227-234, 2016 | 38 | 2016 |
| Facial expression editing with continuous emotion labels A Lindt, P Barros, H Siqueira, S Wermter 2019 14th IEEE International Conference on Automatic Face & Gesture …, 2019 | 37 | 2019 |
| What can computational models learn from human selective attention? A review from an audiovisual unimodal and crossmodal perspective D Fu, C Weber, G Yang, M Kerzel, W Nan, P Barros, H Wu, X Liu, ... Frontiers in integrative neuroscience 14, 10, 2020 | 35 | 2020 |
Prof Dr Stefan WermterUniversity of HamburgEmail yang diverifikasi di uni-hamburg.de