Andrei Bursuc - RankMe

121 papers A* 16A 6B 3C 1Misc 4Journal 72Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Driving on Registers. CoRR Ellington Kirby, Alexandre Boulch, Yihong Xu, Yuan Yin, Gilles Puy, Éloi Zablocki, Andrei Bursuc, Spyros Gidaris, Renaud Marlet, Florent Bartoccioni, Anh-Quan Cao, Nermin Samet, Tuan-Hung Vu, Matthieu Cord
2025	J	`jnl`	3D sans 3D Scans: Scalable Pre-training from Video-Generated Point Clouds. CoRR Ryousuke Yamada, Kohsuke Ide, Yoshihiro Fukuhara, Hirokatsu Kataoka, Gilles Puy, Andrei Bursuc, Yuki M. Asano
2025	J	`jnl`	BIGFix: Bidirectional Image Generation with Token Fixing. CoRR Victor Besnier, David Hurych, Andrei Bursuc, Eduardo Valle
2025	J	`jnl`	DIP: Unsupervised Dense In-Context Post-training of Visual Representations. CoRR Sophia Sirko-Galouchenko, Spyros Gidaris, Antonín Vobecký, Andrei Bursuc, Nicolas Thome
2025	J	`jnl`	DOC-Depth: A novel approach for dense depth ground truth generation. CoRR Simon De Moreau, Mathias Corsia, Hassan Bouchiba, Yasser Almehio, Andrei Bursuc, Hafid El Idrissi, Fabien Moutarde
2025	J	`jnl`	FLOSS: Free Lunch in Open-vocabulary Semantic Segmentation. CoRR Yasser Benigmim, Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Raoul de Charette
2025	J	`jnl`	Franca: Nested Matryoshka Clustering for Scalable Visual Representation Learning. CoRR Shashanka Venkataramanan, Valentinos Pariza, Mohammadreza Salehi, Lukas Knobel, Spyros Gidaris, Elias Ramzi, Andrei Bursuc, Yuki M. Asano
2025	J	`jnl`	IPA: An Information-Preserving Input Projection Framework for Efficient Foundation Model Adaptation. CoRR Yuan Yin, Shashanka Venkataramanan, Tuan-Hung Vu, Andrei Bursuc, Matthieu Cord
2025	J	`jnl`	IPA: An Information-Reconstructive Input Projection Framework for Efficient Foundation Model Adaptation. Trans. Mach. Learn. Res. Yuan Yin, Shashanka Venkataramanan, Tuan-Hung Vu, Andrei Bursuc, Matthieu Cord
2025	J	`jnl`	Improving Semantic Uncertainty Quantification in LVLMs with Semantic Gaussian Processes. CoRR Joseph Hoche, Andrei Bursuc, David Brellmann, Gilles Louppe, Pavel Izmailov, Angela Yao, Gianni Franchi
2025	J	`jnl`	LiDAS: Lighting-driven Dynamic Active Sensing for Nighttime Perception. CoRR Simon De Moreau, Andrei Bursuc, Hafid El Idrissi, Fabien Moutarde
2025	J	`jnl`	Multiple Choice Learning of Low Rank Adapters for Language Modeling. CoRR Victor Letzelter, Hugo Malard, Mathieu Fontaine, Gaël Richard, Slim Essid, Andrei Bursuc, Patrick Pérez
2025	J	`jnl`	Test-time Contrastive Concepts for Open-world Semantic Segmentation with Vision-Language Models. Trans. Mach. Learn. Res. Monika Wysoczanska, Antonín Vobecký, Amaia Cardiel, Tomasz Trzcinski, Renaud Marlet, Andrei Bursuc, Oriane Siméoni
2025	J	`jnl`	Unsupervised Semantic Segmentation of Urban Scenes via Cross-Modal Distillation. Int. J. Comput. Vis. Antonín Vobecký, David Hurych, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic
2025	J	`jnl`	VaViM and VaVAM: Autonomous Driving through Video Generative Modeling. CoRR 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, Mickaël Chen, Éloi Zablocki, Andrei Bursuc, Eduardo Valle, Matthieu Cord
2024	A*	`conf`	A Simple Recipe for Language-Guided Domain Generalized Segmentation. CVPR Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette
2024	J	`jnl`	A Study of Test-time Contrastive Concepts for Open-world, Open-vocabulary Semantic Segmentation. CoRR Monika Wysoczanska, Antonín Vobecký, Amaia Cardiel, Tomasz Trzcinski, Renaud Marlet, Andrei Bursuc, Oriane Siméoni
2024	—	`conf`	CLIP-DINOiser: Teaching CLIP a Few DINO Tricks for Open-Vocabulary Semantic Segmentation. ECCV (61) Monika Wysoczanska, Oriane Siméoni, Michaël Ramamonjisoa, Andrei Bursuc, Tomasz Trzcinski, Patrick Pérez
2024	J	`jnl`	Domain Adaptation with a Single Vision-Language Embedding. CoRR Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette
2024	J	`jnl`	Encoding the Latent Posterior of Bayesian Neural Networks for Uncertainty Quantification. IEEE Trans. Pattern Anal. Mach. Intell. Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch
2024	J	`jnl`	Fine-Tuning CLIP's Last Visual Projector: A Few-Shot Cornucopia. CoRR Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette
2024	J	`jnl`	LED: Light Enhanced Depth Estimation at Night. CoRR Simon De Moreau, Yasser Almehio, Andrei Bursuc, Hafid El Idrissi, Bogdan Stanciulescu, Fabien Moutarde
2024	A	`conf`	Learning to generate training datasets for robust semantic segmentation. WACV Marwane Hariat, Olivier Laurent, Rémi Kazmierczak, Shihao Zhang, Andrei Bursuc, Angela Yao, Gianni Franchi
2024	J	`jnl`	MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments. Trans. Mach. Learn. Res. Spyros Gidaris, Andrei Bursuc, Oriane Siméoni, Antonín Vobecký, Nikos Komodakis, Matthieu Cord, Patrick Pérez
2024	A*	`conf`	Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models. CVPR Gianni Franchi, Olivier Laurent, Maxence Leguéry, Andrei Bursuc, Andrea Pilzer, Angela Yao
2024	A*	`conf`	No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations. NeurIPS Walter Simoncini, Andrei Bursuc, Spyridon Gidaris, Yuki M. Asano
2024	J	`jnl`	No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations. CoRR Walter Simoncini, Spyros Gidaris, Andrei Bursuc, Yuki M. Asano
2024	—	`conf`	OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks. CVPR Workshops Sophia Sirko-Galouchenko, Alexandre Boulch, Spyros Gidaris, Andrei Bursuc, Antonín Vobecký, Patrick Pérez, Renaud Marlet
2024	J	`jnl`	OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks. CoRR Sophia Sirko-Galouchenko, Alexandre Boulch, Spyros Gidaris, Andrei Bursuc, Antonín Vobecký, Patrick Pérez, Renaud Marlet
2024	J	`jnl`	POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images. CoRR Antonín Vobecký, Oriane Siméoni, David Hurych, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic
2024	—	`conf`	The BRAVO Semantic Segmentation Challenge Results in UNCV2024. ECCV Workshops (17) 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
2024	J	`jnl`	The BRAVO Semantic Segmentation Challenge Results in UNCV2024. CoRR 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
2024	A*	`conf`	Three Pillars Improving Vision Foundation Model Distillation for Lidar. CVPR Gilles Puy, Spyros Gidaris, Alexandre Boulch, Oriane Siméoni, Corentin Sautier, Patrick Pérez, Andrei Bursuc, Renaud Marlet
2024	—	`conf`	Valeo4Cast: A Modular Approach to End-to-End Forecasting. ECCV Workshops (7) 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
2024	J	`jnl`	Valeo4Cast: A Modular Approach to End-to-End Forecasting. CoRR 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
2023	J	`jnl`	A Simple Recipe for Language-guided Domain Generalized Segmentation. CoRR Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette
2023	J	`jnl`	CLIP-DINOiser: Teaching CLIP a few DINO tricks. CoRR Monika Wysoczanska, Oriane Siméoni, Michaël Ramamonjisoa, Andrei Bursuc, Tomasz Trzcinski, Patrick Pérez
2023	J	`jnl`	Improving CLIP Robustness with Knowledge Distillation and Self-Training. CoRR Clement Laroudie, Andrei Bursuc, Mai Lan Ha, Gianni Franchi
2023	J	`jnl`	Learning to Generate Training Datasets for Robust Semantic Segmentation. CoRR Marwane Hariat, Olivier Laurent, Rémi Kazmierczak, Shihao Zhang, Andrei Bursuc, Angela Yao, Gianni Franchi
2023	J	`jnl`	MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments. CoRR Spyros Gidaris, Andrei Bursuc, Oriane Siméoni, Antonín Vobecký, Nikos Komodakis, Matthieu Cord, Patrick Pérez
2023	J	`jnl`	Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models. CoRR Gianni Franchi, Olivier Laurent, Maxence Leguéry, Andrei Bursuc, Andrea Pilzer, Angela Yao
2023	A*	`conf`	POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images. NeurIPS Antonín Vobecký, Oriane Siméoni, David Hurych, Spyridon Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic
2023	A*	`conf`	Packed Ensembles for efficient uncertainty estimation. ICLR Olivier Laurent, Adrien Lafage, Enzo Tartaglione, Geoffrey Daniel, Jean-Marc Martinez, Andrei Bursuc, Gianni Franchi
2023	A*	`conf`	PØDA: Prompt-driven Zero-shot Domain Adaptation. ICCV Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette
2023	A*	`conf`	RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving. CVPR Angelika Ando, Spyros Gidaris, Andrei Bursuc, Gilles Puy, Alexandre Boulch, Renaud Marlet
2023	J	`jnl`	RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving. CoRR Angelika Ando, Spyros Gidaris, Andrei Bursuc, Gilles Puy, Alexandre Boulch, Renaud Marlet
2023	J	`jnl`	Revisiting the Distillation of Image Representations into Point Clouds for Autonomous Driving. CoRR Gilles Puy, Spyros Gidaris, Alexandre Boulch, Oriane Siméoni, Corentin Sautier, Patrick Pérez, Andrei Bursuc, Renaud Marlet
2023	—	`conf`	The Robust Semantic Segmentation UNCV2023 Challenge Results. ICCV (Workshops) 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
2023	J	`jnl`	The Robust Semantic Segmentation UNCV2023 Challenge Results. CoRR 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
2023	J	`jnl`	UnShadowNet: Illumination Critic Guided Contrastive Learning for Shadow Removal. IEEE Access Subhrajyoti Dasgupta, Arindam Das, Senthil Kumar Yogamani, Sudip Das, Ciarán Eising, Andrei Bursuc, Ujjwal Bhattacharya
2022	—	`conf`	Active Learning Strategies for Weakly-Supervised Object Detection. ECCV (30) Huy V. Vo, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Jean Ponce
2022	J	`jnl`	Active Learning Strategies for Weakly-supervised Object Detection. CoRR Huy V. Vo, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Jean Ponce
2022	—	`conf`	Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-Modal Distillation. ECCV (38) Antonín Vobecký, David Hurych, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic
2022	J	`jnl`	Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal Distillation. CoRR Antonín Vobecký, David Hurych, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic
2022	A*	`conf`	Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data. CVPR Corentin Sautier, Gilles Puy, Spyros Gidaris, Alexandre Boulch, Andrei Bursuc, Renaud Marlet
2022	J	`jnl`	Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data. CoRR Corentin Sautier, Gilles Puy, Spyros Gidaris, Alexandre Boulch, Andrei Bursuc, Renaud Marlet
2022	J	`jnl`	Improving Predictive Performance and Calibration by Weight Fusion in Semantic Segmentation. CoRR Timo Sämann, Ahmed Mostafa Hammam, Andrei Bursuc, Christoph Stiller, Horst-Michael Groß
2022	J	`jnl`	Instance-Aware Observer Network for Out-of-Distribution Object Segmentation. CoRR Victor Besnier, Andrei Bursuc, David Picard, Alexandre Briot
2022	Misc	`conf`	LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation. CoRL Florent Bartoccioni, Eloi Zablocki, Andrei Bursuc, Patrick Pérez, Matthieu Cord, Karteek Alahari
2022	J	`jnl`	LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation. CoRR Florent Bartoccioni, Éloi Zablocki, Andrei Bursuc, Patrick Pérez, Matthieu Cord, Karteek Alahari
2022	—	`conf`	Latent Discriminant Deterministic Uncertainty. ECCV (12) Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, David Filliat
2022	J	`jnl`	Latent Discriminant deterministic Uncertainty. CoRR Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, David Filliat
2022	J	`jnl`	MUAD: Multiple Uncertainties for Autonomous Driving benchmark for multiple uncertainty types and tasks. CoRR Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Rémi Kazmierczak, Séverine Dubuisson, Emanuel Aldea, David Filliat
2022	A	`conf`	MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks. BMVC Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Ángel Tena, Rémi Kazmierczak, Séverine Dubuisson, Emanuel Aldea, David Filliat
2022	J	`jnl`	One Versus All for Deep Neural Network for Uncertainty (OVNNI) Quantification. IEEE Access Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch
2022	J	`jnl`	Packed-Ensembles for Efficient Uncertainty Estimation. CoRR Olivier Laurent, Adrien Lafage, Enzo Tartaglione, Geoffrey Daniel, Jean-Marc Martinez, Andrei Bursuc, Gianni Franchi
2022	J	`jnl`	PØDA: Prompt-driven Zero-shot Domain Adaptation. CoRR Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette
2022	A*	`conf`	Solving Disjunctive Temporal Networks with Uncertainty under Restricted Time-Based Controllability Using Tree Search and Graph Neural Networks. AAAI Kevin Osanlou, Jeremy Frank, Andrei Bursuc, Tristan Cazenave, Eric Jacopin, Christophe Guettier, J. Benton
2022	J	`jnl`	Solving Disjunctive Temporal Networks with Uncertainty under Restricted Time-Based Controllability using Tree Search and Graph Neural Networks. CoRR Kevin Osanlou, Jeremy Frank, Andrei Bursuc, Tristan Cazenave, Eric Jacopin, Christophe Guettier, J. Benton
2022	J	`jnl`	Spherical perspective on learning with normalization layers. Neurocomputing Simon Roburin, Yann de Mont-Marin, Andrei Bursuc, Renaud Marlet, Patrick Pérez, Mathieu Aubry
2022	J	`jnl`	UnShadowNet: Illumination Critic Guided Contrastive Learning For Shadow Removal. CoRR Subhrajyoti Dasgupta, Arindam Das, Sudip Das, Andrei Bursuc, Ujjwal Bhattacharya, Senthil Kumar Yogamani
2022	—	`conf`	What to Hide from Your Students: Attention-Guided Masked Image Modeling. ECCV (30) Ioannis Kakogeorgiou, Spyros Gidaris, Bill Psomas, Yannis Avrithis, Andrei Bursuc, Konstantinos Karantzalos, Nikos Komodakis
2022	J	`jnl`	What to Hide from Your Students: Attention-Guided Masked Image Modeling. CoRR Ioannis Kakogeorgiou, Spyros Gidaris, Bill Psomas, Yannis Avrithis, Andrei Bursuc, Konstantinos Karantzalos, Nikos Komodakis
2021	J	`jnl`	Constrained Shortest Path Search with Graph Convolutional Neural Networks. CoRR Kevin Osanlou, Christophe Guettier, Andrei Bursuc, Tristan Cazenave, Eric Jacopin
2021	J	`jnl`	Learning-based Preference Prediction for Constrained Multi-Criteria Path-Planning. CoRR Kevin Osanlou, Christophe Guettier, Andrei Bursuc, Tristan Cazenave, Eric Jacopin
2021	J	`jnl`	Localizing Objects with Self-Supervised Transformers and no Labels. CoRR Oriane Siméoni, Gilles Puy, Huy V. Vo, Simon Roburin, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Renaud Marlet, Jean Ponce
2021	A	`conf`	Localizing Objects with Self-supervised Transformers and no Labels. BMVC Oriane Siméoni, Gilles Puy, Huy V. Vo, Simon Roburin, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Renaud Marlet, Jean Ponce
2021	A*	`conf`	OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning. CVPR Spyros Gidaris, Andrei Bursuc, Gilles Puy, Nikos Komodakis, Matthieu Cord, Patrick Pérez
2021	J	`jnl`	Optimal Solving of Constrained Path-Planning Problems with Graph Convolutional Networks and Optimized Tree Search. CoRR Kevin Osanlou, Andrei Bursuc, Christophe Guettier, Tristan Cazenave, Eric Jacopin
2021	J	`jnl`	Reliable Semantic Segmentation with Superpixel-Mix. CoRR Gianni Franchi, Nacim Belkhir, Mai Lan Ha, Yufei Hu, Andrei Bursuc, Volker Blanz, Angela Yao
2021	A	`conf`	Robust Semantic Segmentation with Superpixel-Mix. BMVC Gianni Franchi, Nacim Belkhir, Mai Lan Ha, Yufei Hu, Andrei Bursuc, Volker Blanz, Angela Yao
2021	A	`conf`	StyleLess layer: Improving robustness for real-world driving. IROS Julien Rebut, Andrei Bursuc, Patrick Pérez
2021	J	`jnl`	StyleLess layer: Improving robustness for real-world driving. CoRR Julien Rebut, Andrei Bursuc, Patrick Pérez
2021	J	`jnl`	Time-based Dynamic Controllability of Disjunctive Temporal Networks with Uncertainty: A Tree Search Approach with Graph Neural Network Guidance. CoRR Kevin Osanlou, Jeremy Frank, J. Benton, Andrei Bursuc, Christophe Guettier, Eric Jacopin, Tristan Cazenave
2021	A*	`conf`	Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation. ICCV Victor Besnier, Andrei Bursuc, David Picard, Alexandre Briot
2021	J	`jnl`	Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation. CoRR Victor Besnier, Andrei Bursuc, David Picard, Alexandre Briot
2020	—	`conf`	Dynamic Task Weighting Methods for Multi-task Networks in Autonomous Driving Systems. ITSC Isabelle Leang, Ganesh Sistu, Fabian Bürger, Andrei Bursuc, Senthil Kumar Yogamani
2020	J	`jnl`	Dynamic Task Weighting Methods for Multi-task Networks in Autonomous Driving Systems. CoRR Isabelle Leang, Ganesh Sistu, Fabian Bürger, Andrei Bursuc, Senthil Kumar Yogamani
2020	J	`jnl`	Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification. CoRR Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch
2020	A*	`conf`	Learning Representations by Predicting Bags of Visual Words. CVPR Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord
2020	J	`jnl`	Learning Representations by Predicting Bags of Visual Words. CoRR Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord
2020	J	`jnl`	One Versus all for deep Neural Network Incertitude (OVNNI) quantification. CoRR Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch
2020	J	`jnl`	Online Bag-of-Visual-Words Generation for Unsupervised Representation Learning. CoRR Spyros Gidaris, Andrei Bursuc, Gilles Puy, Nikos Komodakis, Matthieu Cord, Patrick Pérez
2020	Misc	`conf`	PLOP: Probabilistic Polynomial Objects trajectory Prediction for autonomous driving. CoRL Thibault Buhet, Émilie Wirbel, Andrei Bursuc, Xavier Perrotton
2020	J	`jnl`	Spherical Perspective on Learning with Batch Norm. CoRR Simon Roburin, Yann de Mont-Marin, Andrei Bursuc, Renaud Marlet, Patrick Pérez, Mathieu Aubry
2020	—	`conf`	TRADI: Tracking Deep Neural Network Weight Distributions. ECCV (17) Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch
2020	Misc	`conf`	This Dataset Does Not Exist: Training Models from Generated Images. ICASSP Victor Besnier, Himalaya Jain, Andrei Bursuc, Matthieu Cord, Patrick Pérez
2019	A*	`conf`	Boosting Few-Shot Visual Learning With Self-Supervision. ICCV Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord
2019	J	`jnl`	Boosting Few-Shot Visual Learning with Self-Supervision. CoRR Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord
2019	A*	`conf`	Dense Classification and Implanting for Few-Shot Learning. CVPR Yann Lifchitz, Yannis Avrithis, Sylvaine Picard, Andrei Bursuc
2019	J	`jnl`	Dense Classification and Implanting for Few-Shot Learning. CoRR Yann Lifchitz, Yannis Avrithis, Sylvaine Picard, Andrei Bursuc
2019	A	`conf`	Optimal Solving of Constrained Path-Planning Problems with Graph Convolutional Networks and Optimized Tree Search. IROS Kevin Osanlou, Andrei Bursuc, Christophe Guettier, Tristan Cazenave, Eric Jacopin
2019	J	`jnl`	TRADI: Tracking deep neural network weight distributions. CoRR Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch
2019	J	`jnl`	This dataset does not exist: training models from generated images. CoRR Victor Besnier, Himalaya Jain, Andrei Bursuc, Matthieu Cord, Patrick Pérez
2019	J	`jnl`	Understanding and Improving Kernel Local Descriptors. Int. J. Comput. Vis. Arun Mukundan, Giorgos Tolias, Andrei Bursuc, Hervé Jégou, Ondrej Chum
2018	J	`jnl`	Understanding and Improving Kernel Local Descriptors. CoRR Arun Mukundan, Giorgos Tolias, Andrei Bursuc, Hervé Jégou, Ondrej Chum
2015	B	`conf`	Kernel Local Descriptors with Implicit Rotation Matching. ICMR Andrei Bursuc, Giorgos Tolias, Hervé Jégou
2015	J	`jnl`	Rotation and translation covariant match kernels for image retrieval. Comput. Vis. Image Underst. Giorgos Tolias, Andrei Bursuc, Teddy Furon, Hervé Jégou
2013	—	`conf`	A Smartphone-Based Obstacle Detection and Classification System for Assisting Visually Impaired People. ICCV Workshops Ruxandra Tapu, Bogdan Mocanu, Andrei Bursuc, Titus Zaharia
2013	—	`conf`	ARTEMIS @ MediaEval 2013: A Content-Based Image Clustering Method for Public Image Repositories. MediaEval Andrei Bursuc, Titus Zaharia
2013	—	`conf`	ARTEMIS at TRECVID 2013: Instance Search Task. TRECVID Andrei Bursuc, Titus Zaharia
2013	Misc	`conf`	Multi-modal query expansion for video object instances retrieval. MVA Andrei Bursuc, Titus Zaharia
2012	—	`conf`	ARTEMIS.Ubimedia at TRECVID 2012: Instance Search Task. TRECVID Andrei Bursuc, Titus Zaharia, Olivier Martinot, Françoise J. Prêteux
2012	—	`conf`	Dynamic detection of visual entities. EUSIPCO Andrei Bursuc, Titus Zaharia, Françoise J. Prêteux
2012	—	`—`	Indexation et recherche de contenus par objet visuel. (Object-based visual content indexing and retrieval). Andrei Bursuc
2012	B	`conf`	OVIDIUS: A Web Platform for Video Browsing and Search. MMM Andrei Bursuc, Titus Zaharia, Françoise J. Prêteux
2012	B	`conf`	Retrieval of Multiple Instances of Objects in Videos. MMM Andrei Bursuc, Titus Zaharia, Françoise J. Prêteux
2011	—	`conf`	ARTEMIS-UBIMEDIA at TRECVid 2011 : instance search. TRECVID Andrei Bursuc, Titus Zaharia, Olivier Martinot
2011	—	`conf`	Detection of Multiple Instances of Video Objects. SITIS Andrei Bursuc, Titus Zaharia, Françoise J. Prêteux
2010	A*	`conf`	Mobile video browsing and retrieval with the OVIDIUS platform. ACM Multimedia Andrei Bursuc, Titus Zaharia, Françoise J. Prêteux
2010	C	`conf`	OVIDIUS: An on-line video retrieval platform for multi-terminal access. CBMI Andrei Bursuc, Titus Zaharia, Bertrand Delezoide, Françoise J. Prêteux