Andrei Bursuc

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 79

Top Venues

Mines ParisTech, France (PHD)

Education History

Mines ParisTech, France

PHD

Publications

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)
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 (2024)
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 (2024)
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) (2024)
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 (2024)
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)
Antonín Vobecký, Oriane Siméoni, David Hurych, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic
POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images. CoRR (2024)
Walter Simoncini, Spyros Gidaris, Andrei Bursuc, Yuki M. Asano
No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations. CoRR (2024)
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)
Antonin Vobecký, Oriane Siméoni, David Hurych, Spyridon Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic
POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images. NeurIPS (2023)
Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette
PØDA: Prompt-driven Zero-shot Domain Adaptation. ICCV (2023)
Olivier Laurent, Adrien Lafage, Enzo Tartaglione, Geoffrey Daniel, Jean-Marc Martinez, Andrei Bursuc, Gianni Franchi
Packed Ensembles for efficient uncertainty estimation. ICLR (2023)
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 (2023)
Marwane Hariat, Olivier Laurent, Rémi Kazmierczak, Shihao Zhang, Andrei Bursuc, Angela Yao, Gianni Franchi
Learning to Generate Training Datasets for Robust Semantic Segmentation. CoRR (2023)
Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette
A Simple Recipe for Language-guided Domain Generalized Segmentation. CoRR (2023)
Angelika Ando, Spyros Gidaris, Andrei Bursuc, Gilles Puy, Alexandre Boulch, Renaud Marlet
RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving. CoRR (2023)
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 (2023)
Monika Wysoczanska, Oriane Siméoni, Michaël Ramamonjisoa, Andrei Bursuc, Tomasz Trzcinski, Patrick Pérez
CLIP-DINOiser: Teaching CLIP a few DINO tricks. CoRR (2023)
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 (2023)
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 (2023)
Clement Laroudie, Andrei Bursuc, Mai Lan Ha, Gianni Franchi
Improving CLIP Robustness with Knowledge Distillation and Self-Training. CoRR (2023)
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)
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 (2023)
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)
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)
Corentin Sautier, Gilles Puy, Spyros Gidaris, Alexandre Boulch, Andrei Bursuc, Renaud Marlet
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data. CoRR (2022)
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 (2022)
Victor Besnier, Andrei Bursuc, David Picard, Alexandre Briot
Instance-Aware Observer Network for Out-of-Distribution Object Segmentation. CoRR (2022)
Timo Sämann, Ahmed Mostafa Hammam, Andrei Bursuc, Christoph Stiller, Horst-Michael Groß
Improving Predictive Performance and Calibration by Weight Fusion in Semantic Segmentation. CoRR (2022)
Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch
One Versus All for Deep Neural Network for Uncertainty (OVNNI) Quantification. IEEE Access 10 (2022)
Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, David Filliat
Latent Discriminant deterministic Uncertainty. CoRR (2022)
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 (2022)
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 (2022)
Huy V. Vo, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Jean Ponce
Active Learning Strategies for Weakly-supervised Object Detection. CoRR (2022)
Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette
PØDA: Prompt-driven Zero-shot Domain Adaptation. CoRR (2022)
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)
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)
Olivier Laurent, Adrien Lafage, Enzo Tartaglione, Geoffrey Daniel, Jean-Marc Martinez, Andrei Bursuc, Gianni Franchi
Packed-Ensembles for Efficient Uncertainty Estimation. CoRR (2022)
Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, David Filliat
Latent Discriminant Deterministic Uncertainty. ECCV (12) (2022)
Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Angel 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)
Simon Roburin, Yann de Mont-Marin, Andrei Bursuc, Renaud Marlet, Patrick Pérez, Mathieu Aubry
Spherical perspective on learning with normalization layers. Neurocomputing 487 (2022)
Subhrajyoti Dasgupta, Arindam Das, Sudip Das, Andrei Bursuc, Ujjwal Bhattacharya, Senthil Kumar Yogamani
UnShadowNet: Illumination Critic Guided Contrastive Learning For Shadow Removal. CoRR (2022)
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 (2022)
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 (2022)
Huy V. Vo, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Jean Ponce
Active Learning Strategies for Weakly-Supervised Object Detection. ECCV (30) (2022)
Corentin Sautier, Gilles Puy, Spyros Gidaris, Alexandre Boulch, Andrei Bursuc, Renaud Marlet
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data. CVPR (2022)
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)
Gianni Franchi, Nacim Belkhir, Mai Lan Ha, Yufei Hu, Andrei Bursuc, Volker Blanz, Angela Yao
Reliable Semantic Segmentation with Superpixel-Mix. CoRR (2021)
Victor Besnier, Andrei Bursuc, David Picard, Alexandre Briot
Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation. CoRR (2021)
Kevin Osanlou, Christophe Guettier, Andrei Bursuc, Tristan Cazenave, Eric Jacopin
Learning-based Preference Prediction for Constrained Multi-Criteria Path-Planning. CoRR (2021)
Kevin Osanlou, Christophe Guettier, Andrei Bursuc, Tristan Cazenave, Eric Jacopin
Constrained Shortest Path Search with Graph Convolutional Neural Networks. CoRR (2021)
Julien Rebut, Andrei Bursuc, Patrick Pérez
StyleLess layer: Improving robustness for real-world driving. IROS (2021)
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 (2021)
Julien Rebut, Andrei Bursuc, Patrick Pérez
StyleLess layer: Improving robustness for real-world driving. CoRR (2021)
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 (2021)
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 (2021)
Gianni Franchi, Nacim Belkhir, Mai Lan Ha, Yufei Hu, Andrei Bursuc, Volker Blanz, Angela Yao
Robust Semantic Segmentation with Superpixel-Mix. BMVC (2021)
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)
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)
Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch
Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification. CoRR (2020)
Isabelle Leang, Ganesh Sistu, Fabian Bürger, Andrei Bursuc, Senthil Kumar Yogamani
Dynamic Task Weighting Methods for Multi-task Networks in Autonomous Driving Systems. CoRR (2020)
Victor Besnier, Himalaya Jain, Andrei Bursuc, Matthieu Cord, Patrick Pérez
This Dataset Does Not Exist: Training Models from Generated Images. ICASSP (2020)
Simon Roburin, Yann de Mont-Marin, Andrei Bursuc, Renaud Marlet, Patrick Pérez, Mathieu Aubry
Spherical Perspective on Learning with Batch Norm. CoRR (2020)
Spyros Gidaris, Andrei Bursuc, Gilles Puy, Nikos Komodakis, Matthieu Cord, Patrick Pérez
Online Bag-of-Visual-Words Generation for Unsupervised Representation Learning. CoRR (2020)
Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord
Learning Representations by Predicting Bags of Visual Words. CVPR (2020)
Thibault Buhet, Émilie Wirbel, Andrei Bursuc, Xavier Perrotton
PLOP: Probabilistic Polynomial Objects trajectory Prediction for autonomous driving. CoRL (2020)
Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch
TRADI: Tracking Deep Neural Network Weight Distributions. ECCV (17) (2020)
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)
Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord
Learning Representations by Predicting Bags of Visual Words. CoRR (2020)
Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch
One Versus all for deep Neural Network Incertitude (OVNNI) quantification. CoRR (2020)
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)
Yann Lifchitz, Yannis Avrithis, Sylvaine Picard, Andrei Bursuc
Dense Classification and Implanting for Few-Shot Learning. CoRR (2019)
Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch
TRADI: Tracking deep neural network weight distributions. CoRR (2019)
Yann Lifchitz, Yannis Avrithis, Sylvaine Picard, Andrei Bursuc
Dense Classification and Implanting for Few-Shot Learning. CVPR (2019)
Arun Mukundan, Giorgos Tolias, Andrei Bursuc, Hervé Jégou, Ondrej Chum
Understanding and Improving Kernel Local Descriptors. Int. J. Comput. Vis. 127 (11-12) (2019)
Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord
Boosting Few-Shot Visual Learning with Self-Supervision. CoRR (2019)
Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord
Boosting Few-Shot Visual Learning With Self-Supervision. ICCV (2019)
Victor Besnier, Himalaya Jain, Andrei Bursuc, Matthieu Cord, Patrick Pérez
This dataset does not exist: training models from generated images. CoRR (2019)
Arun Mukundan, Giorgos Tolias, Andrei Bursuc, Hervé Jégou, Ondrej Chum
Understanding and Improving Kernel Local Descriptors. CoRR (2018)
Andrei Bursuc, Giorgos Tolias, Hervé Jégou
Kernel Local Descriptors with Implicit Rotation Matching. ICMR (2015)
Giorgos Tolias, Andrei Bursuc, Teddy Furon, Hervé Jégou
Rotation and translation covariant match kernels for image retrieval. Comput. Vis. Image Underst. 140 (2015)
Andrei Bursuc, Titus B. Zaharia
ARTEMIS @ MediaEval 2013: A Content-Based Image Clustering Method for Public Image Repositories. MediaEval (2013)
Andrei Bursuc, Titus B. Zaharia
ARTEMIS at TRECVID 2013: Instance Search Task. TRECVID (2013)
Andrei Bursuc, Titus B. Zaharia
Multi-modal query expansion for video object instances retrieval. MVA (2013)
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)
Andrei Bursuc, Titus B. Zaharia, Olivier Martinot, Françoise J. Prêteux
ARTEMIS.Ubimedia at TRECVID 2012: Instance Search Task. TRECVID (2012)
Andrei Bursuc, Titus B. Zaharia, Françoise J. Prêteux
OVIDIUS: A Web Platform for Video Browsing and Search. MMM (2012)
Andrei Bursuc, Titus B. Zaharia, Françoise J. Prêteux
Dynamic detection of visual entities. EUSIPCO (2012)
Andrei Bursuc, Titus B. Zaharia, Françoise J. Prêteux
Retrieval of Multiple Instances of Objects in Videos. MMM (2012)
Andrei Bursuc, Titus B. Zaharia, Françoise J. Prêteux
Detection of Multiple Instances of Video Objects. SITIS (2011)
Andrei Bursuc, Titus B. Zaharia, Olivier Martinot
ARTEMIS-UBIMEDIA at TRECVid 2011 : instance search. TRECVID (2011)
Andrei Bursuc, Titus B. Zaharia, Françoise J. Prêteux
Mobile video browsing and retrieval with the OVIDIUS platform. ACM Multimedia (2010)
Andrei Bursuc, Titus B. Zaharia, Bertrand Delezoide, Françoise J. Prêteux
OVIDIUS: An on-line video retrieval platform for multi-terminal access. CBMI (2010)

Andrei Bursuc.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Andrei Bursuc