Filip Radenovic
Filip Radenovic
Meta AI
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Cited by
Cited by
Fine-tuning CNN image retrieval with no human annotation
F Radenović, G Tolias, O Chum
IEEE transactions on pattern analysis and machine intelligence 41 (7), 1655-1668, 2018
CNN image retrieval learns from BoW: Unsupervised fine-tuning with hard examples
F Radenović, G Tolias, O Chum
European conference on computer vision, 3-20, 2016
Working hard to know your neighbor's margins: Local descriptor learning loss
A Mishchuk, D Mishkin, F Radenovic, J Matas
Advances in neural information processing systems 30, 2017
Revisiting oxford and paris: Large-scale image retrieval benchmarking
F Radenović, A Iscen, G Tolias, Y Avrithis, O Chum
Proceedings of the IEEE conference on computer vision and pattern …, 2018
Repeatability is not enough: Learning affine regions via discriminability
D Mishkin, F Radenovic, J Matas
Proceedings of the European Conference on Computer Vision (ECCV), 284-300, 2018
Hyperpoints and fine vocabularies for large-scale location recognition
T Sattler, M Havlena, F Radenovic, K Schindler, M Pollefeys
Proceedings of the IEEE International Conference on Computer Vision, 2102-2110, 2015
From single image query to detailed 3D reconstruction
JL Schonberger, F Radenovic, O Chum, JM Frahm
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
Deep Shape Matching
F Radenovic, G Tolias, O Chum
Proceedings of the European Conference on Computer Vision (ECCV), 751-767, 2018
Targeted mismatch adversarial attack: Query with a flower to retrieve the tower
G Tolias, F Radenovic, O Chum
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
From dusk till dawn: Modeling in the dark
F Radenovic, JL Schonberger, D Ji, JM Frahm, O Chum, J Matas
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
Genetic algorithm for rigid body reconstruction after micro-Doppler removal in the radar imaging analysis
LJ Stanković, V Popović-Bugarin, F Radenović
Signal Processing 93 (7), 1921-1932, 2013
Multiple measurements and joint dimensionality reduction for large scale image search with short vectors
F Radenović, H Jégou, O Chum
Proceedings of the 5th ACM on International Conference on Multimedia …, 2015
Efficient image detail mining
A Mikulík, F Radenović, O Chum, J Matas
Asian Conference on Computer Vision, 118-132, 2014
The 2021 Image Similarity Dataset and Challenge
M Douze, G Tolias, E Pizzi, Z Papakipos, L Chanussot, F Radenovic, ...
arXiv preprint arXiv:2106.09672, 2021
Attention-based query expansion learning
A Gordo, F Radenovic, T Berg
European Conference on Computer Vision, 172-188, 2020
Camera Elevation Estimation from a Single Mountain Landscape Photograph
M Čadík, J Vašícek, M Hradiš, F Radenovic, O Chum
26th British Machine Vision Conference (BMVC), 2015
Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals
S Vandenhende, D Mahajan, F Radenovic, D Ghadiyaram
arXiv preprint arXiv:2203.12892, 2022
Neural Basis Models for Interpretability
F Radenovic, A Dubey, D Mahajan
arXiv preprint arXiv:2205.14120, 2022
Scalable Interpretability via Polynomials
A Dubey, F Radenovic, D Mahajan
arXiv preprint arXiv:2205.14108, 2022
Large-scale attribute-object compositions
F Radenovic, A Sinha, A Gordo, T Berg, D Mahajan
arXiv preprint arXiv:2105.11373, 2021
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