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Roeland De Geest
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2020 – today
- 2021
- [c7]Sam Weckx, Steven Robyns, Jonathan Baake, Edward Kikken
, Roeland De Geest, Merwan Birem, Davy Maes
:
A cloud-based digital twin for monitoring of an adaptive clamping mechanism used for high performance composite machining. ISM 2021: 227-236 - 2020
- [c6]Sam Weckx, Bastiaan Vandewal, Erwin Rademakers, Karel Janssen, Kurt Geebelen, Jia Wan, Roeland De Geest, Harold Perik, Joris Gillis
, Jan Swevers, Ellen van Nunen:
Open Experimental AGV Platform for Dynamic Obstacle Avoidance in Narrow Corridors. IV 2020: 844-851
2010 – 2019
- 2018
- [b1]Roeland De Geest:
Video Interpretation: from Classification to Online Detection ; Video-interpretatie: van classificatie tot online detectie. Katholieke Universiteit Leuven, Belgium, 2018 - [c5]Roeland De Geest, Tinne Tuytelaars
:
Modeling Temporal Structure with LSTM for Online Action Detection. WACV 2018: 1549-1557 - 2016
- [c4]Roeland De Geest, Efstratios Gavves, Amir Ghodrati, Zhenyang Li, Cees Snoek, Tinne Tuytelaars
:
Online Action Detection. ECCV (5) 2016: 269-284 - [i1]Roeland De Geest, Efstratios Gavves, Amir Ghodrati, Zhenyang Li, Cees Snoek, Tinne Tuytelaars:
Online Action Detection. CoRR abs/1604.06506 (2016) - 2015
- [c3]Roeland De Geest, Francis Deboeverie, Wilfried Philips, Tinne Tuytelaars
:
Spatio-Temporal Object Recognition. ACIVS 2015: 681-692 - [c2]Francis Deboeverie, Roeland De Geest, Tinne Tuytelaars, Peter Veelaert, Wilfried Philips:
Curvature-based Human Body Parts Segmentation in Physiotherapy. VISAPP (1) 2015: 630-637 - 2014
- [c1]Roeland De Geest, Tinne Tuytelaars
:
Dense interest features for video processing. ICIP 2014: 5771-5775
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