| Predicting intentions of pedestrians from 2d skeletal pose sequences with a representation-focused multi-branch deep learning network J Gesnouin, S Pechberti, G Bresson, B Stanciulescu, F Moutarde Algorithms 13 (12), 331, 2020 | 30 | 2020 |
| TrouSPI-Net: Spatio-temporal attention on parallel atrous convolutions and U-GRUs for skeletal pedestrian crossing prediction J Gesnouin, S Pechberti, B Stanciulescu, F Moutarde IEEE International Conference on Automatic Face and Gesture Recognition, 2021 | 17 | 2021 |
| Asymmetrical Bi-RNN for pedestrian trajectory encoding R Rozenberg, J Gesnouin, F Moutarde Reconnaissance des Formes, Image, Apprentissage et Perception (RFIAP'2022), 2021 | 12 | 2021 |
| Assessing Cross-dataset Generalization of Pedestrian Crossing Predictors J Gesnouin, S Pechberti, B Stanciulescu, F Moutarde 33rd IEEE Intelligent Vehicles Symposium, 2022 | 8 | 2022 |
| LLaMandement: Large Language Models for Summarization of French Legislative Proposals J Gesnouin, Y Tannier, CG Da Silva, H Tapory, C Brier, H Simon, ... arXiv preprint arXiv:2401.16182, 2024 | 2 | 2024 |
| Analysis of pedestrian movements and gestures using an on-board camera to predict their intentions J Gesnouin Université Paris sciences et lettres, 2022 | 1 | 2022 |
| Assessing Cross-dataset Generalization of Pedestrian Crossing Predictors S Pechberti, B Stanciulescu, F Moutarde, J Gesnouin 33rd IEEE Intelligent Vehicles Symposium, 2022 | | 2022 |
| Asymmetrical Bi-RNNs, 3rd place solution at the ICCV Trajnet++ Challenge FM Raphaël Rozenberg, Joseph Gesnouin ICCV 2021 Multi-Agent Interaction and Relational Reasoning Workshop, https …, 2021 | | 2021 |
| Asymmetrical Bi-RNNs (U-RNNs), 2nd place solution at the Trajnet++ Challenge for pedestrian trajectory forecasting. R Rozenberg, J Gesnouin, F Moutarde Workshop on Long-term Human Motion Prediction, 2021 IEEE International …, 2021 | | 2021 |
Fabien MoutardeMINES Paris, PSL Université ParisAdresse e-mail validée de mines-paristech.fr
