Gemma Roig
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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
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
Foveation-based mechanisms alleviate adversarial examples
Y Luo, X Boix, G Roig, T Poggio, Q Zhao
arXiv preprint arXiv:1511.06292, 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
Representation Similarity Analysis for Efficient Task taxonomy & Transfer Learning
K Dwivedi, G Roig
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019
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
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
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
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
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
Scale and translation-invariance for novel objects in human vision
Y Han, G Roig, G Geiger, T Poggio
Scientific Reports 10, 2020
A large and rich EEG dataset for modeling human visual object recognition
AT Gifford, K Dwivedi, G Roig, RM Cichy
NeuroImage 264, 119754, 2022
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
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
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
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
Do Deep Neural Networks Suffer from Crowding?
A Volokitin, G Roig, TA Poggio
Advances in Neural Information Processing Systems 30 (NIPS 2017), 2017
Regression-based music emotion prediction using triplet neural networks
KW Cheuk, YJ Luo, B BT, G Roig, D Herremans
International Joint Conference on Neural Networks (IJCNN), 2020
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
Unsupervised multi-source domain adaptation driven by deep adversarial ensemble learning
S Rakshit, B Banerjee, G Roig, S Chaudhuri
Pattern Recognition: 41st DAGM German Conference, DAGM GCPR 2019, Dortmund …, 2019
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