Cedric Scheerlinck
Title
Cited by
Cited by
Year
Continuous-time intensity estimation using event cameras
C Scheerlinck, N Barnes, R Mahony
Asian Conference on Computer Vision, 308-324, 2018
352018
High Frame Rate Video Reconstruction based on an Event Camera
L Pan, R Hartley, C Scheerlinck, M Liu, X Yu, Y Dai
arXiv preprint arXiv:1903.06531, 2019
16*2019
Bringing a blurry frame alive at high frame-rate with an event camera
L Pan, C Scheerlinck, X Yu, R Hartley, M Liu, Y Dai
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
162019
Asynchronous spatial image convolutions for event cameras
C Scheerlinck, N Barnes, R Mahony
IEEE Robotics and Automation Letters 4 (2), 816-822, 2019
102019
CED: color event camera dataset
C Scheerlinck, H Rebecq, T Stoffregen, N Barnes, R Mahony, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
102019
Fast image reconstruction with an event camera
C Scheerlinck, H Rebecq, D Gehrig, N Barnes, R Mahony, D Scaramuzza
The IEEE Winter Conference on Applications of Computer Vision, 156-163, 2020
72020
How to Train Your Event Camera Neural Network
T Stoffregen, C Scheerlinck, D Scaramuzza, T Drummond, N Barnes, ...
arXiv preprint arXiv:2003.09078, 2020
22020
Effect of Medical Imaging Modalities on the simulated blood flow through a 3D reconstructed stented coronary artery segment
C Scheerlinck, C Mamon, T Zahtila, W Nguyen, E Poon, V Thondapu, ...
Australasian Fluid Mechanics Conference, 2016
2016
Computational fluid dynamics comparisons of wall shear stress in patient-specific coronary artery bifurcation using coronary angiography and optical coherence tomography
E Poon, V Thondapu, C Chin, C Scheerlinck, T Zahtila, C Mamon, ...
APS, H15. 008, 2016
2016
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Articles 1–9