| Chalearn looking at people challenge 2014: Dataset and results S Escalera, X Baró, J Gonzalez, MA Bautista, M Madadi, M Reyes, ... Workshop at the European Conference on Computer Vision, 459-473, 2014 | 183 | 2014 |
| Depth-based 3d hand pose estimation: From current achievements to future goals S Yuan, G Garcia-Hernando, B Stenger, G Moon, J Yong Chang, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 114 | 2018 |
| Results and analysis of chalearn lap multi-modal isolated and continuous gesture recognition, and real versus fake expressed emotions challenges J Wan, S Escalera, G Anbarjafari, H Jair Escalante, X Baró, I Guyon, ... Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 55 | 2017 |
| End-to-end global to local cnn learning for hand pose recovery in depth data M Madadi, S Escalera, X Baró, J Gonzalez arXiv preprint arXiv:1705.09606, 2017 | 40 | 2017 |
| Explaining first impressions: Modeling, recognizing, and explaining apparent personality from videos HJ Escalante, H Kaya, AA Salah, S Escalera, Y Gucluturk, U Guclu, ... arXiv preprint arXiv:1802.00745, 2018 | 24 | 2018 |
| Deep structure inference network for facial action unit recognition C Corneanu, M Madadi, S Escalera Proceedings of the European Conference on Computer Vision (ECCV), 298-313, 2018 | 24 | 2018 |
| Design of an explainable machine learning challenge for video interviews HJ Escalante, I Guyon, S Escalera, J Jacques, M Madadi, X Baró, ... 2017 International Joint Conference on Neural Networks (IJCNN), 3688-3695, 2017 | 20 | 2017 |
| End-to-end semantic face segmentation with conditional random fields as convolutional, recurrent and adversarial networks U Güçlü, Y Güçlütürk, M Madadi, S Escalera, X Baró, J González, ... arXiv preprint arXiv:1703.03305, 2017 | 19 | 2017 |
| Occlusion aware hand pose recovery from sequences of depth images M Madadi, S Escalera, A Carruesco, C Andujar, X Baró, J Gonzalez 2017 12th IEEE International Conference on Automatic Face & Gesture …, 2017 | 16 | 2017 |
| Visualizing apparent personality analysis with deep residual networks Y Gucluturk, U Guclu, M Perez, H Jair Escalante, X Baro, I Guyon, ... Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 9 | 2017 |
| Multi-part body segmentation based on depth maps for soft biometry analysis M Madadi, S Escalera, J Gonzalez, FX Roca, F Lumbreras Pattern Recognition Letters 56, 14-21, 2015 | 7 | 2015 |
| Autocv challenge design and baseline results Z Liu, I Guyon, J Junior, M Madadi, S Escalera, A Pavao, H Escalante, ... | 5 | 2019 |
| What does it mean to learn in deep networks? And, how does one detect adversarial attacks? CA Corneanu, M Madadi, S Escalera, AM Martinez Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 3 | 2019 |
| Smplr: Deep smpl reverse for 3d human pose and shape recovery M Madadi, H Bertiche, S Escalera arXiv preprint arXiv:1812.10766, 2018 | 3 | 2018 |
| Top-down model fitting for hand pose recovery in sequences of depth images M Madadi, S Escalera, A Carruesco, C Andujar, X Baró, J Gonzàlez Image and Vision Computing 79, 63-75, 2018 | 3 | 2018 |
| SMPLR: Deep learning based SMPL reverse for 3D human pose and shape recovery M Madadi, H Bertiche, S Escalera Pattern Recognition, 107472, 2020 | 1 | 2020 |
| Towards Automated Computer Vision: Analysis of the AutoCV Challenges 2019 Z Liu, Z Xu, S Escalera, I Guyon, JCSJ Junior, M Madadi, A Pavao, ... Pattern Recognition Letters, 2020 | 1 | 2020 |
| Cross-ethnicity Face Anti-spoofing Recognition Challenge: A Review A Liu, X Li, J Wan, S Escalera, HJ Escalante, M Madadi, Y Jin, Z Wu, X Yu, ... arXiv preprint arXiv:2004.10998, 2020 | 1 | 2020 |
| Modeling, Recognizing, and Explaining Apparent Personality from Videos HJ Escalante, H Kaya, AA Salah, S Escalera, Y Güç, U Güçlü, X Baró, ... IEEE Transactions on Affective Computing, 2020 | 1 | 2020 |
| CLOTH3D: Clothed 3D Humans H Bertiche, M Madadi, S Escalera arXiv preprint arXiv:1912.02792, 2019 | 1 | 2019 |
Sergio EscaleraFull Professor, ICREA Academia, University of Barcelona, Computer Vision Center UABVerified email at maia.ub.es
