Fahim Mannan

According to our database, Fahim Mannan authored at least 21 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

S³Track: Self-supervised Tracking with Soft Assignment Flow.

Fatemeh Azimi, Fahim Mannan, Felix Heide

CoRR, 2023

Gated Stereo: Joint Depth Estimation from Gated and Wide-Baseline Active Stereo Cues.

Stefanie Walz, Mario Bijelic, Andrea Ramazzina, Amanpreet Walia, Fahim Mannan, Felix Heide

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

The Differentiable Lens: Compound Lens Search over Glass Surfaces and Materials for Object Detection.

Geoffroi Côté, Fahim Mannan, Simon Thibault, Jean-François Lalonde, Felix Heide

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Gated2Gated: Self-Supervised Depth Estimation from Gated Images.

Amanpreet Walia, Stefanie Walz, Mario Bijelic, Fahim Mannan, Frank D. Julca-Aguilar, Michael S. Langer, Werner Ritter, Felix Heide

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Differentiable Compound Optics and Processing Pipeline Optimization for End-to-end Camera Design.

Ethan Tseng, Ali Mosleh, Fahim Mannan, Karl St. Arnaud, Avinash Sharma, Yifan Peng, Alexander Braun, Derek Nowrouzezahrai, Jean-François Lalonde, Felix Heide

ACM Trans. Graph., 2021

Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues.

Frank D. Julca-Aguilar, Jason Taylor, Mario Bijelic, Fahim Mannan, Ethan Tseng, Felix Heide

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Adversarial Imaging Pipelines.

Buu Phan, Fahim Mannan, Felix Heide

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Neural Scene Graphs for Dynamic Scenes.

Julian Ost, Fahim Mannan, Nils Thuerey, Julian Knodt, Felix Heide

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Neural Auto-Exposure for High-Dynamic Range Object Detection.

Emmanuel Onzon, Fahim Mannan, Felix Heide

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Pix2Shape: Towards Unsupervised Learning of 3D Scenes from Images Using a View-Based Representation.

Sai Rajeswar, Fahim Mannan, Florian Golemo, Jérôme Parent-Lévesque, David Vázquez, Derek Nowrouzezahrai, Aaron C. Courville

Int. J. Comput. Vis., 2020

Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar.

Nicolas Scheiner, Florian Kraus, Fangyin Wei, Buu Phan, Fahim Mannan, Nils Appenrodt, Werner Ritter, Jürgen Dickmann, Klaus Dietmayer, Bernhard Sick, Felix Heide

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather.

Mario Bijelic, Tobias Gruber, Fahim Mannan, Florian Kraus, Werner Ritter, Klaus Dietmayer, Felix Heide

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Hardware-in-the-Loop End-to-End Optimization of Camera Image Processing Pipelines.

Ali Mosleh, Avinash Sharma, Emmanuel Onzon, Fahim Mannan, Nicolas Robidoux, Felix Heide

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Hyperparameter optimization in black-box image processing using differentiable proxies.

Ethan Tseng, Felix Yu, Yuting Yang, Fahim Mannan, Karl St. Arnaud, Derek Nowrouzezahrai, Jean-François Lalonde, Felix Heide

ACM Trans. Graph., 2019

Seeing Through Fog Without Seeing Fog: Deep Sensor Fusion in the Absence of Labeled Training Data.

Mario Bijelic, Fahim Mannan, Tobias Gruber, Werner Ritter, Klaus Dietmayer, Felix Heide

CoRR, 2019

Steady-State Non-Line-Of-Sight Imaging.

Wenzheng Chen, Simon Daneau, Fahim Mannan, Felix Heide

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2016

Blur Calibration for Depth from Defocus.

Fahim Mannan, Michael S. Langer

Proceedings of the 13th Conference on Computer and Robot Vision, 2016

What is a Good Model for Depth from Defocus?

Fahim Mannan, Michael S. Langer

Proceedings of the 13th Conference on Computer and Robot Vision, 2016

Discriminative Filters for Depth from Defocus.

Fahim Mannan, Michael S. Langer

Proceedings of the Fourth International Conference on 3D Vision, 2016

2015

Optimal Camera Parameters for Depth from Defocus.

Fahim Mannan, Michael S. Langer

Proceedings of the 2015 International Conference on 3D Vision, 2015

2011

Performance of Stereo Methods in Cluttered Scenes.

Fahim Mannan, Michael S. Langer

Proceedings of the Canadian Conference on Computer and Robot Vision, 2011