OVIDIUS: An on-line video retrieval platform for multi-terminal access. - Andrei Bursuc; Titus Zaharia; Bertrand Delezoide; Françoise J. Prêteux (CBMI, 2010)

Mobile video browsing and retrieval with the OVIDIUS platform. - Andrei Bursuc; Titus Zaharia; Françoise J. Prêteux (ACM Multimedia, 2010)

Detection of Multiple Instances of Video Objects. - Andrei Bursuc; Titus Zaharia; Françoise J. Prêteux (SITIS, 2011)

ARTEMIS-UBIMEDIA at TRECVid 2011 : instance search. - Andrei Bursuc; Titus Zaharia; Olivier Martinot (TRECVID, 2011)

Dynamic detection of visual entities. - Andrei Bursuc; Titus Zaharia; Françoise J. Prêteux (EUSIPCO, 2012)

Retrieval of Multiple Instances of Objects in Videos. - Andrei Bursuc; Titus Zaharia; Françoise J. Prêteux (MMM, 2012)

OVIDIUS: A Web Platform for Video Browsing and Search. - Andrei Bursuc; Titus Zaharia; Françoise J. Prêteux (MMM, 2012)

ARTEMIS.Ubimedia at TRECVID 2012: Instance Search Task. - Andrei Bursuc; Titus Zaharia; Olivier Martinot; Françoise J. Prêteux (TRECVID, 2012)

Indexation et recherche de contenus par objet visuel. (Object-based visual content indexing and retrieval). - Andrei Bursuc (2012)

A Smartphone-Based Obstacle Detection and Classification System for Assisting Visually Impaired People. - Ruxandra Tapu; Bogdan Mocanu; Andrei Bursuc; Titus Zaharia (ICCV Workshops, 2013)

ARTEMIS @ MediaEval 2013: A Content-Based Image Clustering Method for Public Image Repositories. - Andrei Bursuc; Titus Zaharia (MediaEval, 2013)

Multi-modal query expansion for video object instances retrieval. - Andrei Bursuc; Titus Zaharia (MVA, 2013)

ARTEMIS at TRECVID 2013: Instance Search Task. - Andrei Bursuc; Titus Zaharia (TRECVID, 2013)

Kernel Local Descriptors with Implicit Rotation Matching. - Andrei Bursuc; Giorgos Tolias; Hervé Jégou (ICMR, 2015)

Rotation and translation covariant match kernels for image retrieval. - Giorgos Tolias; Andrei Bursuc; Teddy Furon; Hervé Jégou (Comput. Vis. Image Underst., 2015)

Dense Classification and Implanting for Few-Shot Learning. - Yann Lifchitz; Yannis Avrithis; Sylvaine Picard; Andrei Bursuc (CVPR, 2019)

Boosting Few-Shot Visual Learning With Self-Supervision. - Spyros Gidaris; Andrei Bursuc; Nikos Komodakis; Patrick Pérez; Matthieu Cord (ICCV, 2019)

Optimal Solving of Constrained Path-Planning Problems with Graph Convolutional Networks and Optimized Tree Search. - Kevin Osanlou; Andrei Bursuc; Christophe Guettier; Tristan Cazenave; Eric Jacopin (IROS, 2019)

Understanding and Improving Kernel Local Descriptors. - Arun Mukundan; Giorgos Tolias; Andrei Bursuc; Hervé Jégou; Ondrej Chum (Int. J. Comput. Vis., 2019)

PLOP: Probabilistic Polynomial Objects trajectory Prediction for autonomous driving. - Thibault Buhet; Émilie Wirbel; Andrei Bursuc; Xavier Perrotton (CoRL, 2020)

Learning Representations by Predicting Bags of Visual Words. - Spyros Gidaris; Andrei Bursuc; Nikos Komodakis; Patrick Pérez; Matthieu Cord (CVPR, 2020)

TRADI: Tracking Deep Neural Network Weight Distributions. - Gianni Franchi; Andrei Bursuc; Emanuel Aldea; Séverine Dubuisson; Isabelle Bloch (ECCV (17), 2020)

This Dataset Does Not Exist: Training Models from Generated Images. - Victor Besnier; Himalaya Jain; Andrei Bursuc; Matthieu Cord; Patrick Pérez (ICASSP, 2020)

Dynamic Task Weighting Methods for Multi-task Networks in Autonomous Driving Systems. - Isabelle Leang; Ganesh Sistu; Fabian Bürger; Andrei Bursuc; Senthil Kumar Yogamani (ITSC, 2020)

One Versus all for deep Neural Network Incertitude (OVNNI) quantification. - Gianni Franchi; Andrei Bursuc; Emanuel Aldea; Séverine Dubuisson; Isabelle Bloch (CoRR, 2020)

Spherical Perspective on Learning with Batch Norm. - Simon Roburin; Yann de Mont-Marin; Andrei Bursuc; Renaud Marlet; Patrick Pérez; Mathieu Aubry (CoRR, 2020)

Online Bag-of-Visual-Words Generation for Unsupervised Representation Learning. - Spyros Gidaris; Andrei Bursuc; Gilles Puy; Nikos Komodakis; Matthieu Cord; Patrick Pérez (CoRR, 2020)

Robust Semantic Segmentation with Superpixel-Mix. - Gianni Franchi; Nacim Belkhir; Mai Lan Ha; Yufei Hu; Andrei Bursuc; Volker Blanz; Angela Yao (BMVC, 2021)

Localizing Objects with Self-supervised Transformers and no Labels. - Oriane Siméoni; Gilles Puy; Huy V. Vo; Simon Roburin; Spyros Gidaris; Andrei Bursuc; Patrick Pérez; Renaud Marlet; Jean Ponce (BMVC, 2021)

OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning. - Spyros Gidaris; Andrei Bursuc; Gilles Puy; Nikos Komodakis; Matthieu Cord; Patrick Pérez (CVPR, 2021)

Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation. - Victor Besnier; Andrei Bursuc; David Picard; Alexandre Briot (ICCV, 2021)

StyleLess layer: Improving robustness for real-world driving. - Julien Rebut; Andrei Bursuc; Patrick Pérez (IROS, 2021)

Reliable Semantic Segmentation with Superpixel-Mix. - Gianni Franchi; Nacim Belkhir; Mai Lan Ha; Yufei Hu; Andrei Bursuc; Volker Blanz; Angela Yao (CoRR, 2021)

Constrained Shortest Path Search with Graph Convolutional Neural Networks. - Kevin Osanlou; Christophe Guettier; Andrei Bursuc; Tristan Cazenave; Eric Jacopin (CoRR, 2021)

Time-based Dynamic Controllability of Disjunctive Temporal Networks with Uncertainty: A Tree Search Approach with Graph Neural Network Guidance. - Kevin Osanlou; Jeremy Frank; J. Benton 001; Andrei Bursuc; Christophe Guettier; Eric Jacopin; Tristan Cazenave (CoRR, 2021)

Learning-based Preference Prediction for Constrained Multi-Criteria Path-Planning. - Kevin Osanlou; Christophe Guettier; Andrei Bursuc; Tristan Cazenave; Eric Jacopin (CoRR, 2021)

Solving Disjunctive Temporal Networks with Uncertainty under Restricted Time-Based Controllability Using Tree Search and Graph Neural Networks. - Kevin Osanlou; Jeremy Frank; Andrei Bursuc; Tristan Cazenave; Eric Jacopin; Christophe Guettier; J. Benton 001 (AAAI, 2022)

MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks. - Gianni Franchi; Xuanlong Yu; Andrei Bursuc; Ángel Tena; Rémi Kazmierczak; Séverine Dubuisson; Emanuel Aldea; David Filliat (BMVC, 2022)

LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation. - Florent Bartoccioni; Eloi Zablocki; Andrei Bursuc; Patrick Pérez; Matthieu Cord; Karteek Alahari (CoRL, 2022)

Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data. - Corentin Sautier; Gilles Puy; Spyros Gidaris; Alexandre Boulch; Andrei Bursuc; Renaud Marlet (CVPR, 2022)

Latent Discriminant Deterministic Uncertainty. - Gianni Franchi; Xuanlong Yu; Andrei Bursuc; Emanuel Aldea; Séverine Dubuisson; David Filliat (ECCV (12), 2022)

What to Hide from Your Students: Attention-Guided Masked Image Modeling. - Ioannis Kakogeorgiou; Spyros Gidaris; Bill Psomas; Yannis Avrithis; Andrei Bursuc; Konstantinos Karantzalos; Nikos Komodakis (ECCV (30), 2022)

Active Learning Strategies for Weakly-Supervised Object Detection. - Huy V. Vo; Oriane Siméoni; Spyros Gidaris; Andrei Bursuc; Patrick Pérez; Jean Ponce (ECCV (30), 2022)

Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-Modal Distillation. - Antonín Vobecký; David Hurych; Oriane Siméoni; Spyros Gidaris; Andrei Bursuc; Patrick Pérez; Josef Sivic (ECCV (38), 2022)

One Versus All for Deep Neural Network for Uncertainty (OVNNI) Quantification. - Gianni Franchi; Andrei Bursuc; Emanuel Aldea; Séverine Dubuisson; Isabelle Bloch (IEEE Access, 2022)

MUAD: Multiple Uncertainties for Autonomous Driving benchmark for multiple uncertainty types and tasks. - Gianni Franchi; Xuanlong Yu; Andrei Bursuc; Rémi Kazmierczak; Séverine Dubuisson; Emanuel Aldea; David Filliat (CoRR, 2022)

UnShadowNet: Illumination Critic Guided Contrastive Learning For Shadow Removal. - Subhrajyoti Dasgupta; Arindam Das; Sudip Das; Andrei Bursuc; Ujjwal Bhattacharya; Senthil Kumar Yogamani (CoRR, 2022)

Instance-Aware Observer Network for Out-of-Distribution Object Segmentation. - Victor Besnier; Andrei Bursuc; David Picard; Alexandre Briot (CoRR, 2022)

Improving Predictive Performance and Calibration by Weight Fusion in Semantic Segmentation. - Timo Sämann; Ahmed Mostafa Hammam; Andrei Bursuc; Christoph Stiller; Horst-Michael Groß (CoRR, 2022)

Spherical perspective on learning with normalization layers. - Simon Roburin; Yann de Mont-Marin; Andrei Bursuc; Renaud Marlet; Patrick Pérez; Mathieu Aubry (Neurocomputing, 2022)

RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving. - Angelika Ando; Spyros Gidaris; Andrei Bursuc; Gilles Puy; Alexandre Boulch; Renaud Marlet (CVPR, 2023)

PØDA: Prompt-driven Zero-shot Domain Adaptation. - Mohammad Fahes; Tuan-Hung Vu; Andrei Bursuc; Patrick Pérez; Raoul de Charette (ICCV, 2023)

The Robust Semantic Segmentation UNCV2023 Challenge Results. - Xuanlong Yu; Yi Zuo; Zitao Wang; Xiaowen Zhang; Jiaxuan Zhao; Yuting Yang 008; Licheng Jiao; Rui Peng; Xinyi Wang; Junpei Zhang; Kexin Zhang 003; Fang Liu 001; et al. (ICCV (Workshops), 2023)

Packed Ensembles for efficient uncertainty estimation. - Olivier Laurent 002; Adrien Lafage; Enzo Tartaglione; Geoffrey Daniel; Jean-Marc Martinez; Andrei Bursuc; Gianni Franchi (ICLR, 2023)

POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images. - Antonín Vobecký; Oriane Siméoni; David Hurych; Spyridon Gidaris; Andrei Bursuc; Patrick Pérez; Josef Sivic (NeurIPS, 2023)

UnShadowNet: Illumination Critic Guided Contrastive Learning for Shadow Removal. - Subhrajyoti Dasgupta; Arindam Das; Senthil Kumar Yogamani; Sudip Das; Ciarán Eising; Andrei Bursuc; Ujjwal Bhattacharya (IEEE Access, 2023)

Improving CLIP Robustness with Knowledge Distillation and Self-Training. - Clement Laroudie; Andrei Bursuc; Mai Lan Ha; Gianni Franchi (CoRR, 2023)

Revisiting the Distillation of Image Representations into Point Clouds for Autonomous Driving. - Gilles Puy; Spyros Gidaris; Alexandre Boulch; Oriane Siméoni; Corentin Sautier; Patrick Pérez; Andrei Bursuc; Renaud Marlet (CoRR, 2023)

CLIP-DINOiser: Teaching CLIP a few DINO tricks. - Monika Wysoczanska; Oriane Siméoni; Michaël Ramamonjisoa; Andrei Bursuc; Tomasz Trzcinski; Patrick Pérez (CoRR, 2023)

A Simple Recipe for Language-Guided Domain Generalized Segmentation. - Mohammad Fahes; Tuan-Hung Vu; Andrei Bursuc; Patrick Pérez; Raoul de Charette (CVPR, 2024)

Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models. - Gianni Franchi; Olivier Laurent 002; Maxence Leguéry; Andrei Bursuc; Andrea Pilzer; Angela Yao (CVPR, 2024)

Three Pillars Improving Vision Foundation Model Distillation for Lidar. - Gilles Puy; Spyros Gidaris; Alexandre Boulch; Oriane Siméoni; Corentin Sautier; Patrick Pérez; Andrei Bursuc; Renaud Marlet (CVPR, 2024)

OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks. - Sophia Sirko-Galouchenko; Alexandre Boulch; Spyros Gidaris; Andrei Bursuc; Antonín Vobecký; Patrick Pérez; Renaud Marlet (CVPR Workshops, 2024)

The BRAVO Semantic Segmentation Challenge Results in UNCV2024. - Tuan-Hung Vu; Eduardo Valle; Andrei Bursuc; Tommie Kerssies; Daan de Geus; Gijs Dubbelman; Long Qian; Bingke Zhu; Yingying Chen 003; Ming Tang 001; Jinqiao Wang; Tomás Vojír; et al. (ECCV Workshops (17), 2024)

CLIP-DINOiser: Teaching CLIP a Few DINO Tricks for Open-Vocabulary Semantic Segmentation. - Monika Wysoczanska; Oriane Siméoni; Michaël Ramamonjisoa; Andrei Bursuc; Tomasz Trzcinski; Patrick Pérez (ECCV (61), 2024)

Valeo4Cast: A Modular Approach to End-to-End Forecasting. - 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; et al. (ECCV Workshops (7), 2024)

No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations. - Walter Simoncini; Andrei Bursuc; Spyridon Gidaris; Yuki M. Asano (NeurIPS, 2024)

Learning to generate training datasets for robust semantic segmentation. - Marwane Hariat; Olivier Laurent 002; Rémi Kazmierczak; Shihao Zhang; Andrei Bursuc; Angela Yao; Gianni Franchi (WACV, 2024)

A Study of Test-time Contrastive Concepts for Open-world, Open-vocabulary Semantic Segmentation. - Monika Wysoczanska; Antonín Vobecký; Amaia Cardiel; Tomasz Trzcinski; Renaud Marlet; Andrei Bursuc; Oriane Siméoni (CoRR, 2024)

LED: Light Enhanced Depth Estimation at Night. - Simon De Moreau; Yasser Almehio; Andrei Bursuc; Hafid El Idrissi; Bogdan Stanciulescu; Fabien Moutarde (CoRR, 2024)

Fine-Tuning CLIP's Last Visual Projector: A Few-Shot Cornucopia. - Mohammad Fahes; Tuan-Hung Vu; Andrei Bursuc; Patrick Pérez; Raoul de Charette (CoRR, 2024)

Domain Adaptation with a Single Vision-Language Embedding. - Mohammad Fahes; Tuan-Hung Vu; Andrei Bursuc; Patrick Pérez; Raoul de Charette (CoRR, 2024)

MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments. - Spyros Gidaris; Andrei Bursuc; Oriane Siméoni; Antonín Vobecký; Nikos Komodakis; Matthieu Cord; Patrick Pérez (Trans. Mach. Learn. Res., 2024)

Encoding the Latent Posterior of Bayesian Neural Networks for Uncertainty Quantification. - Gianni Franchi; Andrei Bursuc; Emanuel Aldea; Séverine Dubuisson; Isabelle Bloch (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Test-time Contrastive Concepts for Open-world Semantic Segmentation with Vision-Language Models. - Monika Wysoczanska; Antonín Vobecký; Amaia Cardiel; Tomasz Trzcinski; Renaud Marlet; Andrei Bursuc; Oriane Siméoni (Trans. Mach. Learn. Res., 2025)

DOC-Depth: A novel approach for dense depth ground truth generation. - Simon De Moreau; Mathias Corsia; Hassan Bouchiba; Yasser Almehio; Andrei Bursuc; Hafid El Idrissi; Fabien Moutarde (CoRR, 2025)

VaViM and VaVAM: Autonomous Driving through Video Generative Modeling. - Florent Bartoccioni; Elias Ramzi; Victor Besnier; Shashanka Venkataramanan; Tuan-Hung Vu; Yihong Xu; Loïck Chambon; Spyros Gidaris; Serkan Odabas; David Hurych; Renaud Marlet; Alexandre Boulch; et al. (CoRR, 2025)

FLOSS: Free Lunch in Open-vocabulary Semantic Segmentation. - Yasser Benigmim; Mohammad Fahes; Tuan-Hung Vu; Andrei Bursuc; Raoul de Charette (CoRR, 2025)

DIP: Unsupervised Dense In-Context Post-training of Visual Representations. - Sophia Sirko-Galouchenko; Spyros Gidaris; Antonín Vobecký; Andrei Bursuc; Nicolas Thome (CoRR, 2025)

Unsupervised Semantic Segmentation of Urban Scenes via Cross-Modal Distillation. - Antonín Vobecký; David Hurych; Oriane Siméoni; Spyros Gidaris; Andrei Bursuc; Patrick Pérez; Josef Sivic (Int. J. Comput. Vis., 2025)

Multiple Choice Learning of Low Rank Adapters for Language Modeling. - Victor Letzelter; Hugo Malard; Mathieu Fontaine 002; Gaël Richard; Slim Essid; Andrei Bursuc; Patrick Pérez (CoRR, 2025)

Franca: Nested Matryoshka Clustering for Scalable Visual Representation Learning. - Shashanka Venkataramanan; Valentinos Pariza; Mohammadreza Salehi; Lukas Knobel; Spyros Gidaris; Elias Ramzi; Andrei Bursuc; Yuki M. Asano (CoRR, 2025)