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Fahim Mannan
Fahim Mannan
Director of Perception, Algolux
Bestätigte E-Mail-Adresse bei cim.mcgill.ca - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Seeing through fog without seeing fog: Deep multimodal sensor fusion in unseen adverse weather
M Bijelic, T Gruber, F Mannan, F Kraus, W Ritter, K Dietmayer, F Heide
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
3942020
Neural scene graphs for dynamic scenes
J Ost, F Mannan, N Thuerey, J Knodt, F Heide
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
2252021
Seeing around street corners: Non-line-of-sight detection and tracking in-the-wild using doppler radar
N Scheiner, F Kraus, F Wei, B Phan, F Mannan, N Appenrodt, W Ritter, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1232020
Differentiable compound optics and processing pipeline optimization for end-to-end camera design
E Tseng, A Mosleh, F Mannan, K St-Arnaud, A Sharma, Y Peng, A Braun, ...
ACM Transactions on Graphics (TOG) 40 (2), 1-19, 2021
842021
Steady-state non-line-of-sight imaging
W Chen, S Daneau, F Mannan, F Heide
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
792019
Hyperparameter optimization in black-box image processing using differentiable proxies.
E Tseng, F Yu, Y Yang, F Mannan, KST Arnaud, D Nowrouzezahrai, ...
ACM Trans. Graph. 38 (4), 27:1-27:14, 2019
712019
Hardware-in-the-loop end-to-end optimization of camera image processing pipelines
A Mosleh, A Sharma, E Onzon, F Mannan, N Robidoux, F Heide
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
542020
Seeing through fog without seeing fog: Deep sensor fusion in the absence of labeled training data
M Bijelic, F Mannan, T Gruber, W Ritter, K Dietmayer, F Heide
arXiv preprint arXiv:1902.08913 1030, 2019
472019
Neural auto-exposure for high-dynamic range object detection
E Onzon, F Mannan, F Heide
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
452021
Blur calibration for depth from defocus
F Mannan, MS Langer
2016 13th Conference on Computer and Robot Vision (CRV), 281-288, 2016
312016
Adversarial imaging pipelines
B Phan, F Mannan, F Heide
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
222021
Visibility in three-dimensional cluttered scenes
MS Langer, F Mannan
JOSA A 29 (9), 1794-1807, 2012
212012
What is a good model for depth from defocus?
F Mannan, MS Langer
2016 13th Conference on Computer and Robot Vision (CRV), 273-280, 2016
192016
Gated2gated: Self-supervised depth estimation from gated images
A Walia, S Walz, M Bijelic, F Mannan, F Julca-Aguilar, M Langer, W Ritter, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
132022
Pix2shape: Towards unsupervised learning of 3d scenes from images using a view-based representation
S Rajeswar, F Mannan, F Golemo, J Parent-Lévesque, D Vazquez, ...
International Journal of Computer Vision 128, 2478-2493, 2020
132020
Gated3d: Monocular 3d object detection from temporal illumination cues
F Julca-Aguilar, J Taylor, M Bijelic, F Mannan, E Tseng, F Heide
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
112021
Optimal camera parameters for depth from defocus
F Mannan, MS Langer
2015 International Conference on 3D Vision, 326-334, 2015
112015
Classification of face image based on gender using dimensionality reduction techniques and SVM
F Mannan
McGill University, 2008
112008
The differentiable lens: Compound lens search over glass surfaces and materials for object detection
G Côté, F Mannan, S Thibault, JF Lalonde, F Heide
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
102023
Gated Stereo: Joint Depth Estimation from Gated and Wide-Baseline Active Stereo Cues
S Walz, M Bijelic, A Ramazzina, A Walia, F Mannan, F Heide
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
42023
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