Nicolas Audebert
Membre associé
Personal website: https://nicolas.audebert.at
Phone: +33 1 40 27 22 97
Office: 37.1.41
Nicolas Audebert is an associate professor of Computer Science since 2019. His research focuses on representation learning for automated mapping, image generation and interpreation, and video games.
2024
Articles de conférence
- Semantic Generative Augmentations for Few-Shot Counting. In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawaii, United States, 2024. www
- Improved symbolic drum style classification with grammar-based hierarchical representations. In International Society for Music Information Retrieval Conference 2024, San Francisco, United States, 2024. www
- Detecting Out-Of-Distribution Earth Observation Images with Diffusion Models. In EARTHVISION 2024 IEEE/CVF CVPR Workshop. Large Scale Computer Vision for Remote Sensing Imagery, Seattle, United States, 2024. www
- GalLoP: Learning Global and Local Prompts for Vision-Language Models. In The 18th European Conference on Computer Vision ECCV 2024, arXiv, Milan, Italy, 2024. doi www
- Cross-sensor super-resolution of irregularly sampled Sentinel-2 time series. In EARTHVISION 2024 IEEE/CVF CVPR Workshop. Large Scale Computer Vision for Remote Sensing Imagery, Seattle, United States, 2024. www
Non publié
- Cross-sensor self-supervised training and alignment for remote sensing. , working paper or preprint. www
2023
Articles de conférence
- Wasserstein Loss for Semantic Editing in the Latent Space of GANs. In 20th International Conference on Content-based Multimedia Indexing, Orléans, France, 2023. www
2022
Articles de revue
- Multi-attribute balanced sampling for disentangled GAN controls. In Pattern Recognition Letters, 162: 56-62, 2022. doi www
- Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance suite, dataset analysis and multi-task network study. In Machine Learning, 111: 3125-3160, 2022. doi www
- Multi-attribute balanced sampling for disentangled GAN controls. In Pattern Recognition Letters, 162: 56-62, 2022. doi www
Articles de conférence
- Caractérisation du répertoire vocal des chimpanzés par apprentissage profond. In Reconnaissance des Formes, Image, Apprentissage et Perception (RFIAP), Vannes, France, 2022. www
- Efficient Autoprecoder-based deep learning for massive MU-MIMO Downlink under PA Non-Linearities. In IEEE Wireless Communications and Networking Conference, Austin, United States, 2022. www
- Hierarchical Average Precision Training for Pertinent Image Retrieval. In ECCV 2022, Tel-Aviv, Israel, 2022. www
- Now you see me: finding the right observation space to learn diverse behaviours by reinforcement in games. In Conférence sur l'Apprentissage automatique (CAp), Vannes, France, 2022. www
2021
Articles de conférence
- Web Image Context Extraction with Graph Neural Networks and Sentence Embeddings on the DOM tree. In GEM: Graph Embedding and Mining - ECML/PKDD Workshops, pages 258-267, IEEE, Bilbao, Spain, 2021. doi www
- Robust and Decomposable Average Precision for Image Retrieval. In Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia, 2021. www
- PKSpell: Data-Driven Pitch Spelling and Key Signature Estimation. In International Society for Music Information Retrieval Conference (ISMIR), Online, India, 2021. www
2020
Articles de revue
- Flood detection in time series of optical and sar images. In ISPRS International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B2-2020: 1343-1346, 2020. doi www
Articles de conférence
- A real-world hyperspectral image processing workflow for vegetation stress and hydrocarbon indirect detection. In XXIV ISPRS Congress, Nice, France, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2020, 2020. doi www
2019
Articles de revue
- Deep Learning for Classification of Hyperspectral Data: A Comparative Review. In IEEE geoscience and remote sensing magazine, 7 (2): 159-173, 2019. doi www
- Distance transform regression for spatially-aware deep semantic segmentation. In Computer Vision and Image Understanding, 189: 102809, 2019. doi www
Articles de conférence
- What Data are needed for Semantic Segmentation in Earth Observation?. In 2019 Joint Urban Remote Sensing Event (JURSE), pages 1-4, IEEE, Vannes, France, 2019. doi www
- Multimodal deep networks for text and image-based document classification. In Conférence Nationale sur les Applications Pratiques de l'Intelligence Artificielle (APIA), Toulouse, France, 2019. www
2018
Articles de revue
- Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks. In ISPRS Journal of Photogrammetry and Remote Sensing, 140: 20-32, 2018. doi www
Articles de conférence
- Object detection in remote sensing images with center only. In IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, Valence, Spain, 2018. doi www
- Large-scale semantic classification: outcome of the first year of Inria aerial image labeling benchmark. In IGARSS 2018 - IEEE International Geoscience and Remote Sensing Symposium, pages 1-4, Valencia, Spain, 2018. doi www
- Generative Adversarial Networks for Realistic Synthesis of Hyperspectral Samples. In International Geoscience and Remote Sensing Symposium (IGARSS 2018), Valencia, Spain, 2018. doi www
- Segmentation sémantique profonde par régression sur cartes de distances signées. In Reconnaissance des Formes, Image, Apprentissage et Perception (RFIAP), Marne-la-Vallée, France, 2018. www
Thèses et habilitations
- Classification de données massives de télédétection. Ph.D. Thesis, Université de Bretagne Sud, 2018.
2017
Articles de revue
- SnapNet: 3D point cloud semantic labeling with 2D deep segmentation networks. In Computers and Graphics, 71: 189-198, 2017. doi www
- Segment-before-Detect: Vehicle Detection and Classification through Semantic Segmentation of Aerial Images. In Remote Sensing, 9 (4): page 1-18, 2017. doi www
Articles de conférence
- Réseaux de neurones profonds et fusion de données pour la segmentation sémantique d'images aériennes. In ORASIS, Colleville-sur-Mer, France, 2017. www
- Joint Learning from Earth Observation and OpenStreetMap Data to Get Faster Better Semantic Maps. In EARTHVISION 2017 IEEE/ISPRS CVPR Workshop. Large Scale Computer Vision for Remote Sensing Imagery, Honolulu, United States, 2017. doi www
- DEEP LEARNING FOR SEMANTIC SEGMENTATION OF REMOTE SENSING IMAGES WITH RICH SPECTRAL CONTENT. In IEEE International Geoscience and Remote Sensing Symposium, Fort Worth, United States, 2017. www
- Fusion of Heterogeneous Data in Convolutional Networks for Urban Semantic Labeling (Invited Paper). In Joint Urban Remote Sensing Event (JURSE), Dubai, United Arab Emirates, Joint Urban Remote Sensing Event 2017 , 2017. doi www
- Couplage de données géographiques participatives et d'images aériennes par apprentissage profond. In GRETSI, Juan-les-Pins, France, 2017. www
- Deep learning for urban remote sensing. In Joint Urban Remote Sensing Event (JURSE), Dubai, United Arab Emirates, 2017. doi www
2016
Articles de conférence
- Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks. In Asian Conference on Computer Vision (ACCV16), Taipei, Taiwan, 2016. doi www
- How Useful is Region-based Classification of Remote Sensing Images in a Deep Learning Framework?. In IEEE International Geosciences and Remote Sensing Symposium (IGARSS), Beijing, China, 2016. doi www
- On the usability of deep networks for object-based image analysis. In International Conference on Geographic Object-Based Image Analysis (GEOBIA), Enschede, Netherlands, 2016. www