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ORCIDAndrei Bursuc
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- affiliation: valeo.ai, Paris, France
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2020 – today
- 2024
[j7]Gianni Franchi
, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch:
Encoding the Latent Posterior of Bayesian Neural Networks for Uncertainty Quantification. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 2027-2040 (2024)- [j6]Spyros Gidaris, Andrei Bursuc, Oriane Siméoni, Antonín Vobecký, Nikos Komodakis, Matthieu Cord, Patrick Pérez:
MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments. Trans. Mach. Learn. Res. 2024 (2024) - [c45]Sophia Sirko-Galouchenko, Alexandre Boulch, Spyros Gidaris, Andrei Bursuc, Antonín Vobecký, Patrick Pérez, Renaud Marlet:
OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks. CVPR Workshops 2024: 4493-4503 - [c44]Gianni Franchi, Olivier Laurent, Maxence Leguéry, Andrei Bursuc, Andrea Pilzer, Angela Yao:
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models. CVPR 2024: 12194-12204 - [c43]Gilles Puy, Spyros Gidaris, Alexandre Boulch, Oriane Siméoni, Corentin Sautier, Patrick Pérez, Andrei Bursuc, Renaud Marlet:
Three Pillars Improving Vision Foundation Model Distillation for Lidar. CVPR 2024: 21519-21529 - [c42]Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette:
A Simple Recipe for Language-Guided Domain Generalized Segmentation. CVPR 2024: 23428-23437 - [c41]Monika Wysoczanska, Oriane Siméoni, Michaël Ramamonjisoa, Andrei Bursuc, Tomasz Trzcinski, Patrick Pérez:
CLIP-DINOiser: Teaching CLIP a Few DINO Tricks for Open-Vocabulary Semantic Segmentation. ECCV (61) 2024: 320-337 - [c40]Marwane Hariat, Olivier Laurent, Rémi Kazmierczak, Shihao Zhang, Andrei Bursuc, Angela Yao, Gianni Franchi:
Learning to generate training datasets for robust semantic segmentation. WACV 2024: 3882-3893 - [i50]Antonín Vobecký, Oriane Siméoni, David Hurych, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic:
POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images. CoRR abs/2401.09413 (2024) - [i49]Sophia Sirko-Galouchenko, Alexandre Boulch, Spyros Gidaris, Andrei Bursuc, Antonín Vobecký, Patrick Pérez, Renaud Marlet:
OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks. CoRR abs/2404.14027 (2024) - [i48]Yihong Xu, Éloi Zablocki, Alexandre Boulch, Gilles Puy, Mickaël Chen, Florent Bartoccioni, Nermin Samet, Oriane Siméoni, Spyros Gidaris, Tuan-Hung Vu, Andrei Bursuc, Eduardo Valle, Renaud Marlet, Matthieu Cord:
Valeo4Cast: A Modular Approach to End-to-End Forecasting. CoRR abs/2406.08113 (2024) - [i47]Monika Wysoczanska, Antonín Vobecký, Amaia Cardiel, Tomasz Trzcinski, Renaud Marlet, Andrei Bursuc, Oriane Siméoni:
A Study of Test-time Contrastive Concepts for Open-world, Open-vocabulary Semantic Segmentation. CoRR abs/2407.05061 (2024) - [i46]Walter Simoncini, Spyros Gidaris, Andrei Bursuc, Yuki M. Asano:
No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations. CoRR abs/2407.10964 (2024) - [i45]Simon De Moreau, Yasser Almehio, Andrei Bursuc, Hafid El Idrissi, Bogdan Stanciulescu, Fabien Moutarde:
LED: Light Enhanced Depth Estimation at Night. CoRR abs/2409.08031 (2024) - [i44]Tuan-Hung Vu, Eduardo Valle, Andrei Bursuc, Tommie Kerssies, Daan de Geus, Gijs Dubbelman, Long Qian, Bingke Zhu, Yingying Chen, Ming Tang, Jinqiao Wang, Tomás Vojír, Jan Sochman, Jirí Matas, Michael Smith, Frank P. Ferrie, Shamik Basu, Christos Sakaridis, Luc Van Gool:
The BRAVO Semantic Segmentation Challenge Results in UNCV2024. CoRR abs/2409.15107 (2024) - [i43]Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette:
Fine-Tuning CLIP's Last Visual Projector: A Few-Shot Cornucopia. CoRR abs/2410.05270 (2024) - [i42]Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette:
Domain Adaptation with a Single Vision-Language Embedding. CoRR abs/2410.21361 (2024) - 2023
- [j5]Subhrajyoti Dasgupta, Arindam Das, Senthil Kumar Yogamani, Sudip Das, Ciarán Eising, Andrei Bursuc, Ujjwal Bhattacharya:
UnShadowNet: Illumination Critic Guided Contrastive Learning for Shadow Removal. IEEE Access 11: 87760-87774 (2023) - [c39]Angelika Ando, Spyros Gidaris, Andrei Bursuc, Gilles Puy, Alexandre Boulch, Renaud Marlet:
RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving. CVPR 2023: 5240-5250 - [c38]Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette:
PØDA: Prompt-driven Zero-shot Domain Adaptation. ICCV 2023: 18577-18587 - [c37]Xuanlong Yu, Yi Zuo, Zitao Wang, Xiaowen Zhang, Jiaxuan Zhao, Yuting Yang, Licheng Jiao, Rui Peng, Xinyi Wang, Junpei Zhang, Kexin Zhang, Fang Liu, Roberto Alcover-Couso, Juan C. SanMiguel, Marcos Escudero-Viñolo, Hanlin Tian, Kenta Matsui, Tianhao Wang, Fahmy Adan, Zhitong Gao, Xuming He, Quentin Bouniot, Hossein Moghaddam, Shyam Nandan Rai, Fabio Cermelli, Carlo Masone, Andrea Pilzer, Elisa Ricci, Andrei Bursuc, Arno Solin, Martin Trapp, Rui Li, Angela Yao, Wenlong Chen, Ivor Simpson, Neill D. F. Campbell, Gianni Franchi:
The Robust Semantic Segmentation UNCV2023 Challenge Results. ICCV (Workshops) 2023: 4620-4630 - [c36]Olivier Laurent, Adrien Lafage, Enzo Tartaglione, Geoffrey Daniel, Jean-Marc Martinez, Andrei Bursuc, Gianni Franchi:
Packed Ensembles for efficient uncertainty estimation. ICLR 2023 - [c35]Antonín Vobecký, Oriane Siméoni, David Hurych, Spyridon Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic:
POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images. NeurIPS 2023 - [i41]Angelika Ando, Spyros Gidaris, Andrei Bursuc, Gilles Puy, Alexandre Boulch, Renaud Marlet:
RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving. CoRR abs/2301.10222 (2023) - [i40]Spyros Gidaris, Andrei Bursuc, Oriane Siméoni, Antonín Vobecký, Nikos Komodakis, Matthieu Cord, Patrick Pérez:
MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments. CoRR abs/2307.09361 (2023) - [i39]Marwane Hariat, Olivier Laurent, Rémi Kazmierczak, Shihao Zhang, Andrei Bursuc, Angela Yao, Gianni Franchi:
Learning to Generate Training Datasets for Robust Semantic Segmentation. CoRR abs/2308.02535 (2023) - [i38]Clement Laroudie, Andrei Bursuc, Mai Lan Ha, Gianni Franchi:
Improving CLIP Robustness with Knowledge Distillation and Self-Training. CoRR abs/2309.10361 (2023) - [i37]Xuanlong Yu, Yi Zuo, Zitao Wang, Xiaowen Zhang, Jiaxuan Zhao, Yuting Yang, Licheng Jiao, Rui Peng, Xinyi Wang, Junpei Zhang, Kexin Zhang, Fang Liu, Roberto Alcover-Couso, Juan C. SanMiguel, Marcos Escudero-Viñolo, Hanlin Tian, Kenta Matsui, Tianhao Wang, Fahmy Adan, Zhitong Gao, Xuming He, Quentin Bouniot, Hossein Moghaddam, Shyam Nandan Rai, Fabio Cermelli, Carlo Masone, Andrea Pilzer, Elisa Ricci, Andrei Bursuc, Arno Solin, Martin Trapp, Rui Li, Angela Yao, Wenlong Chen, Ivor Simpson, Neill D. F. Campbell, Gianni Franchi:
The Robust Semantic Segmentation UNCV2023 Challenge Results. CoRR abs/2309.15478 (2023) - [i36]Gilles Puy, Spyros Gidaris, Alexandre Boulch, Oriane Siméoni, Corentin Sautier, Patrick Pérez, Andrei Bursuc, Renaud Marlet:
Revisiting the Distillation of Image Representations into Point Clouds for Autonomous Driving. CoRR abs/2310.17504 (2023) - [i35]Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette:
A Simple Recipe for Language-guided Domain Generalized Segmentation. CoRR abs/2311.17922 (2023) - [i34]Monika Wysoczanska, Oriane Siméoni, Michaël Ramamonjisoa, Andrei Bursuc, Tomasz Trzcinski, Patrick Pérez:
CLIP-DINOiser: Teaching CLIP a few DINO tricks. CoRR abs/2312.12359 (2023) - [i33]Gianni Franchi, Olivier Laurent, Maxence Leguéry, Andrei Bursuc, Andrea Pilzer, Angela Yao:
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models. CoRR abs/2312.15297 (2023) - 2022
- [j4]Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch:
One Versus All for Deep Neural Network for Uncertainty (OVNNI) Quantification. IEEE Access 10: 7300-7312 (2022) - [j3]Simon Roburin, Yann de Mont-Marin, Andrei Bursuc, Renaud Marlet, Patrick Pérez, Mathieu Aubry:
Spherical perspective on learning with normalization layers. Neurocomputing 487: 66-74 (2022) - [c34]Kevin Osanlou, Jeremy Frank, Andrei Bursuc, Tristan Cazenave, Eric Jacopin, Christophe Guettier, J. Benton:
Solving Disjunctive Temporal Networks with Uncertainty under Restricted Time-Based Controllability Using Tree Search and Graph Neural Networks. AAAI 2022: 9877-9885 - [c33]Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Ángel Tena, Rémi Kazmierczak, Séverine Dubuisson, Emanuel Aldea, David Filliat:
MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks. BMVC 2022: 398 - [c32]Florent Bartoccioni, Eloi Zablocki, Andrei Bursuc, Patrick Pérez, Matthieu Cord, Karteek Alahari:
LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation. CoRL 2022: 1663-1672 - [c31]Corentin Sautier, Gilles Puy, Spyros Gidaris, Alexandre Boulch, Andrei Bursuc, Renaud Marlet:
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data. CVPR 2022: 9881-9891 - [c30]Huy V. Vo, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Jean Ponce:
Active Learning Strategies for Weakly-Supervised Object Detection. ECCV (30) 2022: 211-230 - [c29]Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, David Filliat:
Latent Discriminant Deterministic Uncertainty. ECCV (12) 2022: 243-260 - [c28]Ioannis Kakogeorgiou, Spyros Gidaris, Bill Psomas, Yannis Avrithis, Andrei Bursuc, Konstantinos Karantzalos, Nikos Komodakis:
What to Hide from Your Students: Attention-Guided Masked Image Modeling. ECCV (30) 2022: 300-318 - [c27]Antonín Vobecký, David Hurych, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic:
Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-Modal Distillation. ECCV (38) 2022: 478-495 - [i32]Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Rémi Kazmierczak, Séverine Dubuisson, Emanuel Aldea, David Filliat:
MUAD: Multiple Uncertainties for Autonomous Driving benchmark for multiple uncertainty types and tasks. CoRR abs/2203.01437 (2022) - [i31]Antonín Vobecký, David Hurych, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic:
Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal Distillation. CoRR abs/2203.11160 (2022) - [i30]Ioannis Kakogeorgiou, Spyros Gidaris, Bill Psomas, Yannis Avrithis, Andrei Bursuc, Konstantinos Karantzalos, Nikos Komodakis:
What to Hide from Your Students: Attention-Guided Masked Image Modeling. CoRR abs/2203.12719 (2022) - [i29]Kevin Osanlou, Jeremy Frank, Andrei Bursuc, Tristan Cazenave, Eric Jacopin, Christophe Guettier, J. Benton:
Solving Disjunctive Temporal Networks with Uncertainty under Restricted Time-Based Controllability using Tree Search and Graph Neural Networks. CoRR abs/2203.15030 (2022) - [i28]Subhrajyoti Dasgupta, Arindam Das, Sudip Das, Andrei Bursuc, Ujjwal Bhattacharya, Senthil Kumar Yogamani:
UnShadowNet: Illumination Critic Guided Contrastive Learning For Shadow Removal. CoRR abs/2203.15441 (2022) - [i27]Corentin Sautier, Gilles Puy, Spyros Gidaris, Alexandre Boulch, Andrei Bursuc, Renaud Marlet:
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data. CoRR abs/2203.16258 (2022) - [i26]Florent Bartoccioni, Éloi Zablocki, Andrei Bursuc, Patrick Pérez, Matthieu Cord, Karteek Alahari:
LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation. CoRR abs/2206.13294 (2022) - [i25]Victor Besnier, Andrei Bursuc, David Picard, Alexandre Briot:
Instance-Aware Observer Network for Out-of-Distribution Object Segmentation. CoRR abs/2207.08782 (2022) - [i24]Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, David Filliat:
Latent Discriminant deterministic Uncertainty. CoRR abs/2207.10130 (2022) - [i23]Timo Sämann, Ahmed Mostafa Hammam, Andrei Bursuc, Christoph Stiller, Horst-Michael Groß:
Improving Predictive Performance and Calibration by Weight Fusion in Semantic Segmentation. CoRR abs/2207.11211 (2022) - [i22]Huy V. Vo, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Jean Ponce:
Active Learning Strategies for Weakly-supervised Object Detection. CoRR abs/2207.12112 (2022) - [i21]Olivier Laurent, Adrien Lafage, Enzo Tartaglione, Geoffrey Daniel, Jean-Marc Martinez, Andrei Bursuc, Gianni Franchi:
Packed-Ensembles for Efficient Uncertainty Estimation. CoRR abs/2210.09184 (2022) - [i20]Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette:
PØDA: Prompt-driven Zero-shot Domain Adaptation. CoRR abs/2212.03241 (2022) - 2021
- [c26]Gianni Franchi, Nacim Belkhir, Mai Lan Ha, Yufei Hu, Andrei Bursuc, Volker Blanz, Angela Yao:
Robust Semantic Segmentation with Superpixel-Mix. BMVC 2021: 158 - [c25]Oriane Siméoni, Gilles Puy, Huy V. Vo, Simon Roburin, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Renaud Marlet, Jean Ponce:
Localizing Objects with Self-supervised Transformers and no Labels. BMVC 2021: 310 - [c24]Spyros Gidaris, Andrei Bursuc, Gilles Puy, Nikos Komodakis, Matthieu Cord, Patrick Pérez:
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning. CVPR 2021: 6830-6840 - [c23]Victor Besnier, Andrei Bursuc, David Picard, Alexandre Briot:
Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation. ICCV 2021: 15681-15690 - [c22]Julien Rebut, Andrei Bursuc, Patrick Pérez:
StyleLess layer: Improving robustness for real-world driving. IROS 2021: 8992-8999 - [i19]Julien Rebut, Andrei Bursuc, Patrick Pérez:
StyleLess layer: Improving robustness for real-world driving. CoRR abs/2103.13905 (2021) - [i18]Gianni Franchi, Nacim Belkhir, Mai Lan Ha, Yufei Hu, Andrei Bursuc, Volker Blanz, Angela Yao:
Reliable Semantic Segmentation with Superpixel-Mix. CoRR abs/2108.00968 (2021) - [i17]Kevin Osanlou, Christophe Guettier, Andrei Bursuc, Tristan Cazenave, Eric Jacopin:
Constrained Shortest Path Search with Graph Convolutional Neural Networks. CoRR abs/2108.00978 (2021) - [i16]Kevin Osanlou, Andrei Bursuc, Christophe Guettier, Tristan Cazenave, Eric Jacopin:
Optimal Solving of Constrained Path-Planning Problems with Graph Convolutional Networks and Optimized Tree Search. CoRR abs/2108.01036 (2021) - [i15]Kevin Osanlou, Jeremy Frank, J. Benton, Andrei Bursuc, Christophe Guettier, Eric Jacopin, Tristan Cazenave:
Time-based Dynamic Controllability of Disjunctive Temporal Networks with Uncertainty: A Tree Search Approach with Graph Neural Network Guidance. CoRR abs/2108.01068 (2021) - [i14]Kevin Osanlou, Christophe Guettier, Andrei Bursuc, Tristan Cazenave, Eric Jacopin:
Learning-based Preference Prediction for Constrained Multi-Criteria Path-Planning. CoRR abs/2108.01080 (2021) - [i13]Victor Besnier, Andrei Bursuc, David Picard, Alexandre Briot:
Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation. CoRR abs/2108.01634 (2021) - [i12]Oriane Siméoni, Gilles Puy, Huy V. Vo, Simon Roburin, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Renaud Marlet, Jean Ponce:
Localizing Objects with Self-Supervised Transformers and no Labels. CoRR abs/2109.14279 (2021) - 2020
- [c21]Thibault Buhet, Émilie Wirbel, Andrei Bursuc, Xavier Perrotton:
PLOP: Probabilistic Polynomial Objects trajectory Prediction for autonomous driving. CoRL 2020: 329-338 - [c20]Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord:
Learning Representations by Predicting Bags of Visual Words. CVPR 2020: 6926-6936 - [c19]Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch:
TRADI: Tracking Deep Neural Network Weight Distributions. ECCV (17) 2020: 105-121 - [c18]Victor Besnier, Himalaya Jain, Andrei Bursuc, Matthieu Cord, Patrick Pérez:
This Dataset Does Not Exist: Training Models from Generated Images. ICASSP 2020: 1-5 - [c17]Isabelle Leang, Ganesh Sistu, Fabian Bürger, Andrei Bursuc, Senthil Kumar Yogamani:
Dynamic Task Weighting Methods for Multi-task Networks in Autonomous Driving Systems. ITSC 2020: 1-8 - [i11]Isabelle Leang, Ganesh Sistu, Fabian Bürger, Andrei Bursuc, Senthil Kumar Yogamani:
Dynamic Task Weighting Methods for Multi-task Networks in Autonomous Driving Systems. CoRR abs/2001.02223 (2020) - [i10]Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord:
Learning Representations by Predicting Bags of Visual Words. CoRR abs/2002.12247 (2020) - [i9]Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch:
One Versus all for deep Neural Network Incertitude (OVNNI) quantification. CoRR abs/2006.00954 (2020) - [i8]Simon Roburin, Yann de Mont-Marin, Andrei Bursuc, Renaud Marlet, Patrick Pérez, Mathieu Aubry:
Spherical Perspective on Learning with Batch Norm. CoRR abs/2006.13382 (2020) - [i7]Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch:
Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification. CoRR abs/2012.02818 (2020) - [i6]Spyros Gidaris, Andrei Bursuc, Gilles Puy, Nikos Komodakis, Matthieu Cord, Patrick Pérez:
Online Bag-of-Visual-Words Generation for Unsupervised Representation Learning. CoRR abs/2012.11552 (2020)
2010 – 2019
- 2019
- [j2]Arun Mukundan, Giorgos Tolias, Andrei Bursuc, Hervé Jégou, Ondrej Chum:
Understanding and Improving Kernel Local Descriptors. Int. J. Comput. Vis. 127(11-12): 1723-1737 (2019) - [c16]Yann Lifchitz, Yannis Avrithis, Sylvaine Picard, Andrei Bursuc:
Dense Classification and Implanting for Few-Shot Learning. CVPR 2019: 9258-9267 - [c15]Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord:
Boosting Few-Shot Visual Learning With Self-Supervision. ICCV 2019: 8058-8067 - [c14]Kevin Osanlou, Andrei Bursuc, Christophe Guettier, Tristan Cazenave, Eric Jacopin:
Optimal Solving of Constrained Path-Planning Problems with Graph Convolutional Networks and Optimized Tree Search. IROS 2019: 3519-3525 - [i5]Yann Lifchitz, Yannis Avrithis, Sylvaine Picard, Andrei Bursuc:
Dense Classification and Implanting for Few-Shot Learning. CoRR abs/1903.05050 (2019) - [i4]Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord:
Boosting Few-Shot Visual Learning with Self-Supervision. CoRR abs/1906.05186 (2019) - [i3]Victor Besnier, Himalaya Jain, Andrei Bursuc, Matthieu Cord, Patrick Pérez:
This dataset does not exist: training models from generated images. CoRR abs/1911.02888 (2019) - [i2]Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch:
TRADI: Tracking deep neural network weight distributions. CoRR abs/1912.11316 (2019) - 2018
- [i1]Arun Mukundan, Giorgos Tolias, Andrei Bursuc, Hervé Jégou, Ondrej Chum:
Understanding and Improving Kernel Local Descriptors. CoRR abs/1811.11147 (2018) - 2015
- [j1]Giorgos Tolias, Andrei Bursuc, Teddy Furon, Hervé Jégou:
Rotation and translation covariant match kernels for image retrieval. Comput. Vis. Image Underst. 140: 9-20 (2015) - [c13]Andrei Bursuc, Giorgos Tolias, Hervé Jégou:
Kernel Local Descriptors with Implicit Rotation Matching. ICMR 2015: 595-598 - 2013
- [c12]Ruxandra Tapu, Bogdan Mocanu, Andrei Bursuc, Titus B. Zaharia:
A Smartphone-Based Obstacle Detection and Classification System for Assisting Visually Impaired People. ICCV Workshops 2013: 444-451 - [c11]Andrei Bursuc, Titus B. Zaharia:
ARTEMIS @ MediaEval 2013: A Content-Based Image Clustering Method for Public Image Repositories. MediaEval 2013 - [c10]Andrei Bursuc, Titus B. Zaharia:
Multi-modal query expansion for video object instances retrieval. MVA 2013: 214-217 - [c9]Andrei Bursuc, Titus B. Zaharia:
ARTEMIS at TRECVID 2013: Instance Search Task. TRECVID 2013 - 2012
- [b1]Andrei Bursuc:
Indexation et recherche de contenus par objet visuel. (Object-based visual content indexing and retrieval). Mines ParisTech, France, 2012 - [c8]Andrei Bursuc, Titus B. Zaharia, Françoise J. Prêteux:
Dynamic detection of visual entities. EUSIPCO 2012: 2392-2396 - [c7]Andrei Bursuc, Titus B. Zaharia, Françoise J. Prêteux:
Retrieval of Multiple Instances of Objects in Videos. MMM 2012: 358-369 - [c6]Andrei Bursuc, Titus B. Zaharia, Françoise J. Prêteux:
OVIDIUS: A Web Platform for Video Browsing and Search. MMM 2012: 649-651 - [c5]Andrei Bursuc, Titus B. Zaharia, Olivier Martinot, Françoise J. Prêteux:
ARTEMIS.Ubimedia at TRECVID 2012: Instance Search Task. TRECVID 2012 - 2011
- [c4]Andrei Bursuc, Titus B. Zaharia, Françoise J. Prêteux:
Detection of Multiple Instances of Video Objects. SITIS 2011: 446-453 - [c3]Andrei Bursuc, Titus B. Zaharia, Olivier Martinot:
ARTEMIS-UBIMEDIA at TRECVid 2011 : instance search. TRECVID 2011 - 2010
- [c2]Andrei Bursuc, Titus B. Zaharia, Bertrand Delezoide, Françoise J. Prêteux:
OVIDIUS: An on-line video retrieval platform for multi-terminal access. CBMI 2010: 1-6 - [c1]Andrei Bursuc, Titus B. Zaharia, Françoise J. Prêteux:
Mobile video browsing and retrieval with the OVIDIUS platform. ACM Multimedia 2010: 1659-1662
Coauthor Index
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last updated on 2025-01-09 20:31 CET by the dblp team
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