Stéphane Herbin

According to our database1, Stéphane Herbin authored at least 36 papers between 1996 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
Explaining an image classifier with a generative model conditioned by uncertainty.
CoRR, 2024

Continual Learning in Remote Sensing : Leveraging Foundation Models and Generative Classifiers to Mitigate Forgetting.
Proceedings of the IGARSS 2024, 2024

How to Efficiently Adapt Foundation Models to Remote Sensing for Object Detection?
Proceedings of the IGARSS 2024, 2024

Optimal transport based adversarial patch to leverage large scale attack transferability.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Interpretable Image Classification Through an Argumentative Dialog Between Encoders.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Efficient Exploration of Image Classifier Failures with Bayesian Optimization and Text-to-Image Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Knowledge Informed Sequential Scene Graph Verification Using VQA.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Carpet-bombing patch: attacking a deep network without usual requirements.
CoRR, 2022

Leveraging generative models to characterize the failure conditions of image classifiers.
Proceedings of the Workshop on Artificial Intelligence Safety 2022 (AISafety 2022) co-located with the Thirty-First International Joint Conference on Artificial Intelligence and the Twenty-Fifth European Conference on Artificial Intelligence (IJCAI-ECAI-2022), 2022

Benchmarking and deeper analysis of adversarial patch attack on object detectors.
Proceedings of the Workshop on Artificial Intelligence Safety 2022 (AISafety 2022) co-located with the Thirty-First International Joint Conference on Artificial Intelligence and the Twenty-Fifth European Conference on Artificial Intelligence (IJCAI-ECAI-2022), 2022

2021
Pseudo-Labeling for Class Incremental Learning.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Semi-Supervised Class Incremental Learning.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Towards Autonomous Perceptual Systems. (Vers des systèmes perceptifs autonomes).
, 2020

2018
On-line fusion of trackers for single-object tracking.
Pattern Recognit., 2018

Semantic Bottleneck for Computer Vision Tasks.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Practical Scheduling of Computer Vision Functions.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 6: VISAPP, Porto, Portugal, February 27, 2017

Generating Visual Representations for Zero-Shot Classification.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016
Processing of Extremely High-Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest-Part A: 2-D Contest.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classification.
CoRR, 2016

Hard Negative Mining for Metric Learning Based Zero-Shot Classification.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classiffication.
Proceedings of the Computer Vision - ECCV 2016, 2016

2015
Tracking based sparse box proposal for time constraint detection in video stream.
Proceedings of the 2015 International Conference on Image Processing Theory, 2015

Benchmarking classification of earth-observation data: From learning explicit features to convolutional networks.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Exemplar based metric learning for robust visual localization.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Absolute geo-localization thanks to Hidden Markov Model and exemplar-based metric learning.
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

Robust Fusion of Trackers Using Online Drift Prediction.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2015

2013
Robust abandoned object detection integrating wide area visual surveillance and social context.
Pattern Recognit. Lett., 2013

2012
Semantic hierarchies for image annotation: A survey.
Pattern Recognit., 2012

2011
Context-driven moving object detection in aerial scenes with user input.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Flexible tracklet association for complex scenarios using a Markov Logic Network.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

2008
Semantic lattices for multiple annotation of images.
Proceedings of the 1st ACM SIGMM International Conference on Multimedia Information Retrieval, 2008

2006
Using hidden scale for salient object detection.
IEEE Trans. Image Process., 2006

2004
Robust Multihypothesis Discrimination of Controlled I.I.D. Processes.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

2003
Active Sampling Strategies for Multihyposthesis Testing.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2003

1998
Combining Geometric and Probabilistic Structure for Active Recognition of 3D Objects.
Proceedings of the Computer Vision, 1998

1996
Recognizing 3D Objects by Generating Random Actions.
Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96), 1996


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