| 2026 | WACV | FlowEO: Generative Unsupervised Domain Adaptation for Earth Observation. | Georges Le Bellier, Nicolas Audebert |
| 2025 | VISIGRAPP | 3DSES: An Indoor Lidar Point Cloud Segmentation Dataset with Real and Pseudo-Labels from a 3D Model. | Maxime Mrizette, Nicolas Audebert, Pierre Kervella, Jrme Verdun |
| 2024 | CVPR | Detecting Out-Of-Distribution Earth Observation Images with Diffusion Models. | Georges Le Bellier, Nicolas Audebert |
| 2024 | CVPR | Cross-sensor super-resolution of irregularly sampled Sentinel-2 time series. | Aimi Okabayashi, Nicolas Audebert, Simon Donike, Charlotte Pelletier |
| 2024 | ECCV | GalLoP: Learning Global and Local Prompts for Vision-Language Models. | Marc Lafon, Elias Ramzi, Clment Rambour, Nicolas Audebert, Nicolas Thome |
| 2024 | WACV | Semantic Generative Augmentations for Few-Shot Counting. | Perla Doubinsky, Nicolas Audebert, Michel Crucianu, Herv Le Borgne |
| 2023 | CBMI | Wasserstein loss for Semantic Editing in the Latent Space of GANs. | Perla Doubinsky, Nicolas Audebert, Michel Crucianu, Herv Le Borgne |
| 2022 | ECCV | Hierarchical Average Precision Training for Pertinent Image Retrieval. | Elias Ramzi, Nicolas Audebert, Nicolas Thome, Clment Rambour, Xavier Bitot |
| 2022 | WCNC | Efficient Autoprecoder-based deep learning for massive MU-MIMO Downlink under PA Non-Linearities. | Xinying Cheng, Rafik Zayani, Marin Ferecatu, Nicolas Audebert |
| 2018 | IGARSS | Generative Adversarial Networks for Realistic Synthesis of Hyperspectral Samples. | Nicolas Audebert, Bertrand Le Saux, Sbastien Lefvre |
| 2018 | IGARSS | Object Detection in Remote Sensing Images with Center Only. | Adrien Chan-Hon-Tong, Nicolas Audebert |
| 2018 | IGARSS | Large-Scale Semantic Classification: Outcome of the First Year of Inria Aerial Image Labeling Benchmark. | Bohao Huang, Kangkang Lu, Nicolas Audebert, Andrew Khalel, Yuliya Tarabalka, Jordan M. Malof, Alexandre Boulch, Bertrand Le Saux, Leslie M. Collins, Kyle Bradbury, Sbastien Lefvre, Motaz El-Saban |
| 2017 | CVPR | Joint Learning from Earth Observation and OpenStreetMap Data to Get Faster Better Semantic Maps. | Nicolas Audebert, Bertrand Le Saux, Sbastien Lefvre |
| 2017 | IGARSS | Deep learning for semantic segmentation of remote sensing images with rich spectral content. | Amina Ben Hamida, Alexandre Benot, Patrick Lambert, Louis Klein, Chokri Ben Amar, Nicolas Audebert, Sbastien Lefvre |
| 2016 | ACCV | Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks. | Nicolas Audebert, Bertrand Le Saux, Sbastien Lefvre |
| 2016 | IGARSS | How useful is region-based classification of remote sensing images in a deep learning framework? | Nicolas Audebert, Bertrand Le Saux, Sbastien Lefvre |