Publications
2020
| Olivier Canévet, Weipeng He, Petr Motlicek and Jean-Marc Odobez. The MuMMER Data Set for Robot Perception in Multi-party HRI Scenarios. In RO-MAN, 2020. | |
| Michael Villamizar, Olivier Canévet and Jean-Marc Odobez. WatchNet++: efficient and accurate depth-based network for detecting people attacks and intrusion. In Machine Vision and Applications, 2020. | |
| Michael Villamizar, Olivier Canévet and Jean-Marc Odobez. Multi-scale sequential network for semantic text segmentation and localization. In Pattern Recognition Letters, 2020. |
2019
| Angel Martínez-González, Michael Villamizar, Olivier Canévet and Jean-Marc Odobez. Efficient Convolutional Neural Networks for Depth-Based Multi-Person Pose Estimation. In IEEE Transactions on Circuits and Systems for Video Technology, 2019. |
2018
| Angel Martínez-González, Michael Villamizar, Olivier Canévet and Jean-Marc Odobez. Investigating Depth Domain Adaptation for Efficient Human Pose Estimation, In ECCV Workshop on Human Behavior Understanding, 2018. | |
| Michael Villamizar, Angel Martínez-González, Olivier Canévet and Jean-Marc Odobez. WatchNet: Efficient and Depth-based Network for People Detection inVideo Surveillance Systems. In IEEE Int. Conf. on Advanced Video and Signal-Based Processing (AVSS), 2018. | |
| Joël Dumoulin, Olivier Canévet, Michael Villamizar, Hugo Nunez, Omar Khaled, Elena. Mugellini, Fabrice. Moscheni and Jean-Marc Odobez. UNICITY: A depth maps database for people detection in security airlocks. In Advanced Video and Signal-Based Processing (AVSS), Workshop on Human Behavior Analysis based on Video Analytics and Deep Learning, 2018. | |
| Angel Martínez-González, Michael Villamizar, Olivier Canévet and Jean-Marc Odobez. Real-time Convolutional Networks for Depth-based Human Pose Estimation. In IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018. | |
| Yuanzhouhan Cao, Olivier Canévet and Jean-Marc Odobez. Leveraging Convolutional Pose Machines for Fast and Accurate Head Pose Estimation. In IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018. |
2016
| Olivier Canévet and François Fleuret. Large Scale Hard Sample Mining with Monte Carlo Tree Search. In Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2016. | |
| Olivier Canévet, Cijo Jose and François Fleuret. Importance Sampling Tree for Large-scale Empirical Expectation. In Proceedings of the International Conference on Machine Learning (ICML), 2016. |
2014
| Olivier Canévet and François Fleuret. Efficient Sample Mining for Object Detection. In Proceedings of the Asian Conference on Machine Learning (ACML), 2014. | |
| Olivier Canévet, Leonidas Lefakis and François Fleuret. Sample Distillation for Object Detection and Image Classification. In Proceedings of the Asian Conference on Machine Learning (ACML), 2014. |
2012
| Julien Michel, Manuel Grizonnet and Olivier Canévet. Supervised re-segmentation for very high-resolution satellite images. In IEEE Transactions on Geoscience and Remote Sensing (IGARSS), 2012. |
2009
| link | Olivier Canévet. L’horloge astronomique de Ploërmel. In Quadrature, No 72, 2009. |