| 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 | 874 | 2015 |
| 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 | 258 | 2019 |
| Foveation-based mechanisms alleviate adversarial examples Y Luo, X Boix, G Roig, T Poggio, Q Zhao arXiv preprint arXiv:1511.06292, 2015 | 222 | 2015 |
| 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 | 177 | 2018 |
| Representation Similarity Analysis for Efficient Task taxonomy & Transfer Learning K Dwivedi, G Roig 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019 | 164 | 2019 |
| Z-Inspection®: A Process to Assess Trustworthy AI RV Zicari, J Brodersen, J Brusseau, B Düdder, T Eichhorn, T Ivanov, ... IEEE Transactions on Technology and Society 2 (2), 83-97, 2021 | 116 | 2021 |
| 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 | 107 | 2013 |
| A large and rich EEG dataset for modeling human visual object recognition AT Gifford, K Dwivedi, G Roig, RM Cichy NeuroImage 264, 119754, 2022 | 85 | 2022 |
| 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 | 73 | 2020 |
| 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 | 73 | 2016 |
| Scale and translation-invariance for novel objects in human vision Y Han, G Roig, G Geiger, T Poggio Scientific Reports 10, 2020 | 67 | 2020 |
| 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 | 66 | 2011 |
| Unveiling functions of the visual cortex using task-specific deep neural networks K Dwivedi, MF Bonner, RM Cichy, G Roig PLoS computational biology 17 (8), e1009267, 2021 | 49 | 2021 |
| The algonauts project: A platform for communication between the sciences of biological and artificial intelligence RM Cichy, G Roig, A Andonian, K Dwivedi, B Lahner, A Lascelles, ... arXiv preprint arXiv:1905.05675, 2019 | 49 | 2019 |
| LLM multimodal traffic accident forecasting I de Zarzà, J de Curtò, G Roig, CT Calafate Sensors 23 (22), 9225, 2023 | 45 | 2023 |
| Multi-Source Open-Set Deep Adversarial Domain Adaptation S Rakshit, D Tamboli, PS Meshram, B Banerjee, G Roig, S Chaudhuri European Conferenence on Computer Vision (ECCV), 2020 | 43 | 2020 |
| Do Deep Neural Networks Suffer from Crowding? A Volokitin, G Roig, TA Poggio Advances in Neural Information Processing Systems 30 (NIPS 2017), 2017 | 37 | 2017 |
| 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 | 37 | 2013 |
| Duality Diagram Similarity: a generic framework for initialization selection in task transfer learning K Dwivedi, J Huang, RM Cichy, G Roig European Conference on Computer Vision (ECCV), 2020 | 36 | 2020 |
| Emergent cooperation and strategy adaptation in multi-agent systems: An extended coevolutionary theory with llms I de Zarzà, J de Curtò, G Roig, P Manzoni, CT Calafate Electronics 12 (12), 2722, 2023 | 35 | 2023 |
