Quentin Debard
Former LIRIS member since: 2020-12-31
| Quality | PhD student |
| Team(s) | Imagine |
| Institution | Institut National des Sciences Appliquées de Lyon |
| Thesis | Automatic learning of the next generation of human-computer interactions (click to view details) |
Publications (IdHAL : quentin-debard)
Publications LIRIS pour Quentin Debard (4)
- 2020 (1)
- HDR, thesis (1)
- Thesis (1)
- Quentin Debard (2020). "Automatic learning of next generation human-computer interactions". HAL : tel-03102842.
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- 2019 (2)
- Conferences (1)
- International conferences with peer review (1)
- Quentin Debard, Jilles Steeve Dibangoye, Stephane Canu & Christian Wolf (2019). "Learning 3D Navigation Protocols on Touch Interfaces with Cooperative Multi-Agent Reinforcement Learning". ECML PKDD 2019 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 20 septembre 2019, Würzburg (Germany), pp. 1-16. doi : 10.1007/978-3-030-46133-1_3. HAL : hal-02302554. .
- Others (1)
- Quentin Debard, Jilles Steeve Dibangoye, Stephane Canu & Christian Wolf (2019). "Learning 3D Navigation Protocols on Touch Interfaces with Cooperative Multi-Agent Reinforcement Learning". HAL : hal-02302526. .
- 2018 (1)
- Conferences (1)
- International conferences with peer review (1)
- Quentin Debard, Christian Wolf, Stephane Canu & Julien Arné (2018). "Learning to Recognize Touch Gestures: Recurrent vs. Convolutional Features and Dynamic Sampling". FG'2018 - 13th IEEE International Conference on Automatic Face and Gesture Recognition, 19 mai 2018, Xi'An (China), pp. 114-121. doi : 10.1109/FG.2018.00026. ArXiv : 1802.09901. HAL : hal-02302545. .
Publications hors LIRIS
Publication hors LIRIS pour Quentin Debard (1)
- 2017 (1)
- Journals (1)
- International journals with peer review (1)
- Jorge Bernal, Nima Tajkbaksh, F Sánchez, Bogdan Matuszewski, Hao Chen, Lequan Yu, Quentin Angermann, Olivier Romain, Bjørn Rustad et al. (2017). "Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results from the MICCAI 2015 Endoscopic Vision Challenge". IEEE Transactions on Medical Imaging, vol. 36, #6, pp. 1231-1249. doi : 10.1109/TMI.2017.2664042. HAL : hal-01488652. .