| Seeds: Superpixels extracted via energy-driven sampling M Van den Bergh, X Boix, G Roig, B de Capitani, L Van Gool European conference on computer vision, 13-26, 2012 | 367 | 2012 |
| Seeds: Superpixels extracted via energy-driven sampling M Van den Bergh, X Boix, G Roig, L Van Gool International Journal of Computer Vision 111 (3), 298-314, 2015 | 199 | 2015 |
| Foveation-based mechanisms alleviate adversarial examples Y Luo, X Boix, G Roig, T Poggio, Q Zhao arXiv preprint arXiv:1511.06292, 2015 | 115 | 2015 |
| Online video seeds for temporal window objectness M Van den Bergh, G Roig, X Boix, S Manen, L Van Gool Proceedings of the IEEE international conference on computer vision, 377-384, 2013 | 96 | 2013 |
| JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds with Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields QH Pham, DT Nguyen, BS Hua, G Roig, SK Yeung 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019 | 76 | 2019 |
| Doping: Generative data augmentation for unsupervised anomaly detection with gan SK Lim, Y Loo, NT Tran, NM Cheung, G Roig, Y Elovici 2018 IEEE International Conference on Data Mining (ICDM), 1122-1127, 2018 | 44 | 2018 |
| Learning to predict sequences of human visual fixations M Jiang, X Boix, G Roig, J Xu, L Van Gool, Q Zhao IEEE transactions on neural networks and learning systems 27 (6), 1241-1252, 2016 | 40 | 2016 |
| Active map inference in crfs for efficient semantic segmentation G Roig, X Boix, R De Nijs, S Ramos, K Kuhnlenz, L Van Gool Proceedings of the IEEE International Conference on Computer Vision, 2312-2319, 2013 | 33 | 2013 |
| Representation Similarity Analysis for Efficient Task taxonomy & Transfer Learning K Dwivedi, G Roig 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019 | 27 | 2019 |
| Conditional random fields for multi-camera object detection G Roig, X Boix, HB Shitrit, P Fua 2011 International Conference on Computer Vision, 563-570, 2011 | 27 | 2011 |
| Nested sparse quantization for efficient feature coding X Boix, G Roig, C Leistner, L Van Gool European Conference on Computer Vision, 744-758, 2012 | 23 | 2012 |
| On-line semantic perception using uncertainty R de Nijs, S Ramos, G Roig, X Boix, L Van Gool, K Kühnlenz 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012 | 19 | 2012 |
| Scale and translation-invariance for novel objects in human vision Y Han, G Roig, G Geiger, T Poggio Scientific Reports 10, 2020 | 18* | 2020 |
| Sparse quantization for patch description X Boix, M Gygli, G Roig, L Van Gool Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 18 | 2013 |
| The Algonauts Project RM Cichy, G Roig, A Oliva Nature Machine Intelligence 1 (12), 613-613, 2019 | 16* | 2019 |
| Eccentricity Dependent Deep Neural Networks: Modeling Invariance in Human Vision FX Chen, G Roig, L Isik, X Boix, T Poggio 2017 AAAI Spring Symposium Series, Science of Intelligence: Computational …, 2017 | 16 | 2017 |
| Do deep neural networks suffer from crowding? A Volokitin, G Roig, T Poggio arXiv preprint arXiv:1706.08616, 2017 | 15 | 2017 |
| Hierarchical crf with product label spaces for parts-based models G Roig, X Boix, F De la Torre, J Serrat, C Vilella Face and Gesture 2011, 657-664, 2011 | 15* | 2011 |
| LCD: Learned Cross-Domain Descriptors for 2D-3D Matching QH Pham, MA Uy, BS Hua, DT Nguyen, G Roig, SK Yeung In Proc. of the AAAI Conference on Artificial Intelligence, 2020 | 8 | 2020 |
| Optimal feature selection for subspace image matching G Roig, X Boix, F De la Torre 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV …, 2009 | 7 | 2009 |
