Andrei Bursuc

Orcid: 0000-0003-2485-9402

Affiliations:
  • valeo.ai, Paris, France


According to our database1, Andrei Bursuc authored at least 74 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Encoding the Latent Posterior of Bayesian Neural Networks for Uncertainty Quantification.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments.
Trans. Mach. Learn. Res., 2024

Domain Adaptation with a Single Vision-Language Embedding.
CoRR, 2024

Fine-Tuning CLIP's Last Visual Projector: A Few-Shot Cornucopia.
CoRR, 2024

The BRAVO Semantic Segmentation Challenge Results in UNCV2024.
CoRR, 2024

LED: Light Enhanced Depth Estimation at Night.
CoRR, 2024

No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations.
CoRR, 2024

A Study of Test-time Contrastive Concepts for Open-world, Open-vocabulary Semantic Segmentation.
CoRR, 2024

Valeo4Cast: A Modular Approach to End-to-End Forecasting.
CoRR, 2024

Learning to generate training datasets for robust semantic segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

CLIP-DINOiser: Teaching CLIP a Few DINO Tricks for Open-Vocabulary Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2024, 2024

OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Three Pillars Improving Vision Foundation Model Distillation for Lidar.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

A Simple Recipe for Language-Guided Domain Generalized Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
CLIP-DINOiser: Teaching CLIP a few DINO tricks.
CoRR, 2023

Revisiting the Distillation of Image Representations into Point Clouds for Autonomous Driving.
CoRR, 2023

Improving CLIP Robustness with Knowledge Distillation and Self-Training.
CoRR, 2023

UnShadowNet: Illumination Critic Guided Contrastive Learning for Shadow Removal.
IEEE Access, 2023

POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Packed Ensembles for efficient uncertainty estimation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023


PØDA: Prompt-driven Zero-shot Domain Adaptation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Spherical perspective on learning with normalization layers.
Neurocomputing, 2022

Improving Predictive Performance and Calibration by Weight Fusion in Semantic Segmentation.
CoRR, 2022

Instance-Aware Observer Network for Out-of-Distribution Object Segmentation.
CoRR, 2022

UnShadowNet: Illumination Critic Guided Contrastive Learning For Shadow Removal.
CoRR, 2022

MUAD: Multiple Uncertainties for Autonomous Driving benchmark for multiple uncertainty types and tasks.
CoRR, 2022

One Versus All for Deep Neural Network for Uncertainty (OVNNI) Quantification.
IEEE Access, 2022

Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-Modal Distillation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Active Learning Strategies for Weakly-Supervised Object Detection.
Proceedings of the Computer Vision - ECCV 2022, 2022

What to Hide from Your Students: Attention-Guided Masked Image Modeling.
Proceedings of the Computer Vision - ECCV 2022, 2022

Latent Discriminant Deterministic Uncertainty.
Proceedings of the Computer Vision - ECCV 2022, 2022

Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation.
Proceedings of the Conference on Robot Learning, 2022

MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Solving Disjunctive Temporal Networks with Uncertainty under Restricted Time-Based Controllability Using Tree Search and Graph Neural Networks.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Learning-based Preference Prediction for Constrained Multi-Criteria Path-Planning.
CoRR, 2021

Time-based Dynamic Controllability of Disjunctive Temporal Networks with Uncertainty: A Tree Search Approach with Graph Neural Network Guidance.
CoRR, 2021

Constrained Shortest Path Search with Graph Convolutional Neural Networks.
CoRR, 2021

Reliable Semantic Segmentation with Superpixel-Mix.
CoRR, 2021

StyleLess layer: Improving robustness for real-world driving.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Localizing Objects with Self-supervised Transformers and no Labels.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Robust Semantic Segmentation with Superpixel-Mix.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Online Bag-of-Visual-Words Generation for Unsupervised Representation Learning.
CoRR, 2020

Spherical Perspective on Learning with Batch Norm.
CoRR, 2020

One Versus all for deep Neural Network Incertitude (OVNNI) quantification.
CoRR, 2020

Dynamic Task Weighting Methods for Multi-task Networks in Autonomous Driving Systems.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

This Dataset Does Not Exist: Training Models from Generated Images.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

TRADI: Tracking Deep Neural Network Weight Distributions.
Proceedings of the Computer Vision - ECCV 2020, 2020

Learning Representations by Predicting Bags of Visual Words.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

PLOP: Probabilistic Polynomial Objects trajectory Prediction for autonomous driving.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Understanding and Improving Kernel Local Descriptors.
Int. J. Comput. Vis., 2019

Optimal Solving of Constrained Path-Planning Problems with Graph Convolutional Networks and Optimized Tree Search.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Boosting Few-Shot Visual Learning With Self-Supervision.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Dense Classification and Implanting for Few-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2015
Rotation and translation covariant match kernels for image retrieval.
Comput. Vis. Image Underst., 2015

Kernel Local Descriptors with Implicit Rotation Matching.
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

2013
ARTEMIS at TRECVID 2013: Instance Search Task.
Proceedings of the 2013 TREC Video Retrieval Evaluation, 2013

Multi-modal query expansion for video object instances retrieval.
Proceedings of the 13. IAPR International Conference on Machine Vision Applications, 2013

ARTEMIS @ MediaEval 2013: A Content-Based Image Clustering Method for Public Image Repositories.
Proceedings of the MediaEval 2013 Multimedia Benchmark Workshop, 2013

A Smartphone-Based Obstacle Detection and Classification System for Assisting Visually Impaired People.
Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013

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

ARTEMIS.Ubimedia at TRECVID 2012: Instance Search Task.
Proceedings of the 2012 TREC Video Retrieval Evaluation, 2012

OVIDIUS: A Web Platform for Video Browsing and Search.
Proceedings of the Advances in Multimedia Modeling - 18th International Conference, 2012

Retrieval of Multiple Instances of Objects in Videos.
Proceedings of the Advances in Multimedia Modeling - 18th International Conference, 2012

Dynamic detection of visual entities.
Proceedings of the 20th European Signal Processing Conference, 2012

2011
ARTEMIS-UBIMEDIA at TRECVid 2011 : instance search.
Proceedings of the 2011 TREC Video Retrieval Evaluation, 2011

Detection of Multiple Instances of Video Objects.
Proceedings of the Seventh International Conference on Signal-Image Technology and Internet-Based Systems, 2011

2010
Mobile video browsing and retrieval with the OVIDIUS platform.
Proceedings of the 18th International Conference on Multimedia 2010, 2010

OVIDIUS: An on-line video retrieval platform for multi-terminal access.
Proceedings of the 2010 International Workshop on Content-Based Multimedia Indexing, 2010


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