Fahim Mannan
Fahim Mannan
Research Scientist, Algolux
Verified email at cim.mcgill.ca - Homepage
Title
Cited by
Cited by
Year
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
252019
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
172019
Visibility in three-dimensional cluttered scenes
MS Langer, F Mannan
JOSA A 29 (9), 1794-1807, 2012
152012
Blur calibration for depth from defocus
F Mannan, MS Langer
2016 13th Conference on Computer and Robot Vision (CRV), 281-288, 2016
102016
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
92020
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
92019
Classification of face image based on gender using dimensionality reduction techniques and SVM
F Mannan
McGill University, 2008
82008
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
72020
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
42016
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, 1-16, 2020
32020
Pix2Scene: Learning implicit 3D representations from images
S Rajeswar, F Mannan, F Golemo, D Vazquez, D Nowrouzezahrai, ...
22018
Optimal camera parameters for depth from defocus
F Mannan, MS Langer
2015 International Conference on 3D Vision, 326-334, 2015
22015
Neural Scene Graphs for Dynamic Scenes
J Ost, F Mannan, N Thuerey, J Knodt, F Heide
arXiv preprint arXiv:2011.10379, 2020
12020
Performance of mrf-based stereo algorithms for cluttered scenes
F Mannan, M Langer
Brain, Body and Machine, 125-136, 2010
12010
Adversarial Imaging Pipelines
B Phan, F Mannan, F Heide
arXiv preprint arXiv:2102.03728, 2021
2021
Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues
F Julca-Aguilar, J Taylor, M Bijelic, F Mannan, E Tseng, F Heide
arXiv preprint arXiv:2102.03602, 2021
2021
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
2020
On Optimal Depth from Defocus
F Mannan
McGill University Libraries, 2017
2017
Discriminative Filters for Depth from Defocus
F Mannan, MS Langer
2016 Fourth International Conference on 3D Vision (3DV), 592-600, 2016
2016
Inferring Differential Structure from Defocused Images
F Mannan
focus 10, 12, 2014
2014
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Articles 1–20