| 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 | 25 | 2019 |
| 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 | 17 | 2019 |
| Visibility in three-dimensional cluttered scenes MS Langer, F Mannan JOSA A 29 (9), 1794-1807, 2012 | 15 | 2012 |
| Blur calibration for depth from defocus F Mannan, MS Langer 2016 13th Conference on Computer and Robot Vision (CRV), 281-288, 2016 | 10 | 2016 |
| 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 | 9 | 2020 |
| 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 | 9 | 2019 |
| Classification of face image based on gender using dimensionality reduction techniques and SVM F Mannan McGill University, 2008 | 8 | 2008 |
| 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 | 7 | 2020 |
| 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 | 4 | 2016 |
| 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 | 3 | 2020 |
| Pix2Scene: Learning implicit 3D representations from images S Rajeswar, F Mannan, F Golemo, D Vazquez, D Nowrouzezahrai, ... | 2 | 2018 |
| Optimal camera parameters for depth from defocus F Mannan, MS Langer 2015 International Conference on 3D Vision, 326-334, 2015 | 2 | 2015 |
| Neural Scene Graphs for Dynamic Scenes J Ost, F Mannan, N Thuerey, J Knodt, F Heide arXiv preprint arXiv:2011.10379, 2020 | 1 | 2020 |
| Performance of mrf-based stereo algorithms for cluttered scenes F Mannan, M Langer Brain, Body and Machine, 125-136, 2010 | 1 | 2010 |
| 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 |
Felix HeidePrinceton University | AlgoluxVerified email at cs.princeton.edu
