| Learning deep features for discriminative localization B Zhou, A Khosla, A Lapedriza, A Oliva, A Torralba Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 8314 | 2016 |
| Learning deep features for scene recognition using places database B Zhou, A Lapedriza, J Xiao, A Torralba, A Oliva Advances in neural information processing systems 27, 2014 | 3405 | 2014 |
| Places: A 10 million image database for scene recognition B Zhou, A Lapedriza, A Khosla, A Oliva, A Torralba IEEE transactions on pattern analysis and machine intelligence 40 (6), 1452-1464, 2017 | 3182 | 2017 |
| Object detectors emerge in deep scene cnns Z Bolei, A Khosla, A Lapedriza, A Oliva, A Torralba | 705 | 2015 |
| Object detectors emerge in deep scene cnns B Zhou, A Khosla, A Lapedriza, A Oliva, A Torralba arXiv preprint arXiv:1412.6856, 2014 | 676 | 2014 |
| Places: An image database for deep scene understanding B Zhou, A Khosla, A Lapedriza, A Torralba, A Oliva arXiv preprint arXiv:1610.02055, 2016 | 394 | 2016 |
| Understanding the role of individual units in a deep neural network D Bau, JY Zhu, H Strobelt, A Lapedriza, B Zhou, A Torralba Proceedings of the National Academy of Sciences 117 (48), 30071-30078, 2020 | 266 | 2020 |
| Way off-policy batch deep reinforcement learning of implicit human preferences in dialog N Jaques, A Ghandeharioun, JH Shen, C Ferguson, A Lapedriza, ... arXiv preprint arXiv:1907.00456, 2019 | 213 | 2019 |
| Can we do better explanations? A proposal of user-centered explainable AI. M Ribera, A Lapedriza IUI workshops 2327, 38, 2019 | 174 | 2019 |
| Emotion recognition in context R Kosti, JM Alvarez, A Recasens, A Lapedriza Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 172 | 2017 |
| Context based emotion recognition using emotic dataset R Kosti, JM Alvarez, A Recasens, A Lapedriza IEEE transactions on pattern analysis and machine intelligence 42 (11), 2755 …, 2019 | 117 | 2019 |
| Approximating interactive human evaluation with self-play for open-domain dialog systems A Ghandeharioun, JH Shen, N Jaques, C Ferguson, N Jones, ... Advances in Neural Information Processing Systems 32, 2019 | 87 | 2019 |
| Gender recognition in non controlled environments A Lapedriza, MJ Marin-Jimenez, J Vitria 18th International Conference on Pattern Recognition (ICPR'06) 3, 834-837, 2006 | 71 | 2006 |
| Interpreting cnn models for apparent personality trait regression C Ventura, D Masip, A Lapedriza Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 69 | 2017 |
| Are all training examples equally valuable? A Lapedriza, H Pirsiavash, Z Bylinskii, A Torralba arXiv preprint arXiv:1311.6510, 2013 | 59 | 2013 |
| A robotic positive psychology coach to improve college students’ wellbeing S Jeong, S Alghowinem, L Aymerich-Franch, K Arias, A Lapedriza, ... 2020 29th IEEE International Conference on Robot and Human Interactive …, 2020 | 56 | 2020 |
| Depth information in human gait analysis: an experimental study on gender recognition R Borràs, À Lapedriza, L Igual Image Analysis and Recognition: 9th International Conference, ICIAR 2012 …, 2012 | 54 | 2012 |
| Detecting natural disasters, damage, and incidents in the wild E Weber, N Marzo, DP Papadopoulos, A Biswas, A Lapedriza, F Ofli, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 42 | 2020 |
| EMOTIC: Emotions in Context dataset R Kosti, JM Alvarez, A Recasens, A Lapedriza Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 41 | 2017 |
| Human-centric dialog training via offline reinforcement learning N Jaques, JH Shen, A Ghandeharioun, C Ferguson, A Lapedriza, ... arXiv preprint arXiv:2010.05848, 2020 | 40 | 2020 |
