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Processing of Extremely High-Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest–Part A: 2-D Contest

IEEE journal of selected topics in applied earth observations and remote sensing, 2016-12, Vol.9 (12), p.5547-5559

2016

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Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classiffication

Computer Vision – ECCV 2016, 2016, p.730-746

2016

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Semantic hierarchies for image annotation: A survey

Pattern recognition, 2012, Vol.45 (1), p.333-345

2012

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Semi-Supervised Class Incremental Learning

2020 25th International Conference on Pattern Recognition (ICPR), 2021, p.10383-10389

2021

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Trusting Machine-Learning Applications in Aeronautics

2023 IEEE Aerospace Conference, 2023, p.1-9

2023

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Robust abandoned object detection integrating wide area visual surveillance and social context

Pattern recognition letters, 2013-05, Vol.34 (7), p.789-798

2013

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Generating Visual Representations for Zero-Shot Classification

2017 IEEE International Conference on Computer Vision Workshops (ICCVW), 2017, p.2666-2673

2017

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Hard Negative Mining for Metric Learning Based Zero-Shot Classification

Computer Vision - ECCV 2016 Workshops, 2016, Vol.9915, p.524-531

2016

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Pertinence of Video for Single Image Deep Network

International journal of machine learning and computing, 2017-12, Vol.7 (6), p.238-242

2017

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Semantic Bottleneck for Computer Vision Tasks

Computer Vision - ACCV 2018, 2019, Vol.11362, p.695-712

2019

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Robust Fusion of Trackers Using Online Drift Prediction

Advanced Concepts for Intelligent Vision Systems, 2015, p.229-240

2015

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Using hidden scale for salient object detection

IEEE transactions on image processing, 2006-09, Vol.15 (9), p.2644-2656

2006

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Knowledge Informed Sequential Scene Graph Verification Using VQA

2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2023, p.21-31

2023

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On-line fusion of trackers for single-object tracking

Pattern recognition, 2018-02, Vol.74, p.459-473

2018

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How to Efficiently Adapt Foundation Models to Remote Sensing for Object Detection?

IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 2024, p.7973-7977

2024

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Continual Learning in Remote Sensing : Leveraging Foundation Models and Generative Classifiers to Mitigate Forgetting

IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 2024, p.8535-8540

2024

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Efficient Exploration of Image Classifier Failures with Bayesian Optimization and Text-to-Image Models

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2024, p.7569-7578

2024

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Benchmarking classification of earth-observation data: From learning explicit features to convolutional networks

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015, p.4173-4176

2015

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Active Sampling Strategies for Multihypothesis Testing

Energy Minimization Methods in Computer Vision and Pattern Recognition, 2003, p.97-112

2003

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Tracking based sparse box proposal for time constraint detection in video stream

2015 International Conference on Image Processing Theory, Tools and Applications (IPTA), 2015, p.81-86

2015

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Recognizing 3D objects by generating random actions

Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1996, p.35-40

Herbin, S.

1996

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Absolute geo-localization thanks to Hidden Markov Model and exemplar-based metric learning

2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2015, p.9-17

2015

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Combining geometric and probabilistic structure for active recognition of 3D objects

Computer Vision — ECCV’98, 2006, p.748-764

2006

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Robust multihypothesis discrimination of controlled i.i.d. processes

Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004, 2004, Vol.1, p.200-203 Vol.1

Herbin, S.

2004

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Vehicle Recognition in Video Surveillance

Intelligent Video Surveillance Systems, 2012, p.183-200

2012

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Processing of Extremely High-Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest–Part A: 2-D Contest

Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classiffication

Semantic hierarchies for image annotation: A survey

Semi-Supervised Class Incremental Learning

Trusting Machine-Learning Applications in Aeronautics

Robust abandoned object detection integrating wide area visual surveillance and social context

Generating Visual Representations for Zero-Shot Classification

Hard Negative Mining for Metric Learning Based Zero-Shot Classification

Pertinence of Video for Single Image Deep Network

Semantic Bottleneck for Computer Vision Tasks

Robust Fusion of Trackers Using Online Drift Prediction

Using hidden scale for salient object detection

Knowledge Informed Sequential Scene Graph Verification Using VQA

On-line fusion of trackers for single-object tracking

How to Efficiently Adapt Foundation Models to Remote Sensing for Object Detection?

Continual Learning in Remote Sensing : Leveraging Foundation Models and Generative Classifiers to Mitigate Forgetting

Efficient Exploration of Image Classifier Failures with Bayesian Optimization and Text-to-Image Models

Benchmarking classification of earth-observation data: From learning explicit features to convolutional networks

Active Sampling Strategies for Multihypothesis Testing

Tracking based sparse box proposal for time constraint detection in video stream

Recognizing 3D objects by generating random actions

Absolute geo-localization thanks to Hidden Markov Model and exemplar-based metric learning

Combining geometric and probabilistic structure for active recognition of 3D objects

Robust multihypothesis discrimination of controlled i.i.d. processes

Vehicle Recognition in Video Surveillance

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