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Andrei Bursuc
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Boosting few-shot visual learning with self-supervision
S Gidaris, A Bursuc, N Komodakis, P Pérez, M Cord
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
4212019
Dense Classification and Implanting for Few-Shot Learning
Y Lifchitz, Y Avrithis, S Picard, A Bursuc
arXiv preprint arXiv:1903.05050, 2019
2212019
A smartphone-based obstacle detection and classification system for assisting visually impaired people
R Tapu, B Mocanu, A Bursuc, T Zaharia
Proceedings of the IEEE International Conference on Computer Vision …, 2013
1742013
Localizing objects with self-supervised transformers and no labels
O Siméoni, G Puy, HV Vo, S Roburin, S Gidaris, A Bursuc, P Pérez, ...
arXiv preprint arXiv:2109.14279, 2021
1352021
Learning representations by predicting bags of visual words
S Gidaris, A Bursuc, N Komodakis, P Pérez, M Cord
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1032020
Obow: Online bag-of-visual-words generation for self-supervised learning
S Gidaris, A Bursuc, G Puy, N Komodakis, M Cord, P Pérez
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
822021
What to hide from your students: Attention-guided masked image modeling
I Kakogeorgiou, S Gidaris, B Psomas, Y Avrithis, A Bursuc, K Karantzalos, ...
European Conference on Computer Vision, 300-318, 2022
672022
This dataset does not exist: training models from generated images
V Besnier, H Jain, A Bursuc, M Cord, P Pérez
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
652020
Image-to-lidar self-supervised distillation for autonomous driving data
C Sautier, G Puy, S Gidaris, A Boulch, A Bursuc, R Marlet
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
632022
TRADI: Tracking deep neural network weight distributions
G Franchi, A Bursuc, E Aldea, S Dubuisson, I Bloch
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
492020
Triggering failures: Out-of-distribution detection by learning from local adversarial attacks in semantic segmentation
V Besnier, A Bursuc, D Picard, A Briot
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
452021
Dynamic task weighting methods for multi-task networks in autonomous driving systems
I Leang, G Sistu, F Bürger, A Bursuc, S Yogamani
2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020
422020
Kernel local descriptors with implicit rotation matching
A Bursuc, G Tolias, H Jégou
Proceedings of the 5th ACM on International Conference on Multimedia …, 2015
402015
PLOP: Probabilistic poLynomial Objects trajectory Planning for autonomous driving
T Buhet, E Wirbel, A Bursuc, X Perrotton
arXiv preprint arXiv:2003.08744, 2020
33*2020
One Versus all for deep Neural Network for uncertaInty (OVNNI) quantification
G Franchi, A Bursuc, E Aldea, S Dubuisson, I Bloch
IEEE Access 10, 7300-7312, 2021
24*2021
Lara: Latents and rays for multi-camera bird’s-eye-view semantic segmentation
F Bartoccioni, É Zablocki, A Bursuc, P Pérez, M Cord, K Alahari
Conference on Robot Learning, 1663-1672, 2023
192023
Encoding the latent posterior of bayesian neural networks for uncertainty quantification
G Franchi, A Bursuc, E Aldea, S Dubuisson, I Bloch
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
172023
Drive&segment: Unsupervised semantic segmentation of urban scenes via cross-modal distillation
A Vobecky, D Hurych, O Siméoni, S Gidaris, A Bursuc, P Pérez, J Sivic
European Conference on Computer Vision, 478-495, 2022
162022
Spherical perspective on learning with normalization layers
S Roburin, Y de Mont-Marin, A Bursuc, R Marlet, P Pérez, M Aubry
Neurocomputing 487, 66-74, 2022
16*2022
MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks
G Franchi, X Yu, A Bursuc, A Tena, R Kazmierczak, S Dubuisson, E Aldea, ...
arXiv preprint arXiv:2203.01437, 2022
162022
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