Christian Unger

Daniel Mueller-Gritschneder

Claudio Passerone

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2022

HW-Flow: A Multi-Abstraction Level HW-CNN Codesign Pruning Methodology.

[BibT_eX]

[DOI]

Maurizio Martina

Leibniz Trans. Embed. Syst., 2022

2021

HW-FlowQ: A Multi-Abstraction Level HW-CNN Co-design Quantization Methodology.

[BibT_eX]

[DOI]

Maurizio Martina

ACM Trans. Embed. Comput. Syst., 2021

SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

A Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions.

[BibT_eX]

[DOI]

René Schuster

Didier Stricker

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

BreakingBED: Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Systems and Applications, 2021

Binary-LoRAX: Low-Latency Runtime Adaptable XNOR Classifier for Semi-Autonomous Grasping with Prosthetic Hands.

[BibT_eX]

[DOI]

Mohamed Badawy

Felix Hundhausen

Julian Höfer

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Adversarial Robust Model Compression Using In-Train Pruning.

[BibT_eX]

[DOI]

Christian Wressnegger

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

Hardware-Aware Mixed-Precision Neural Networks using In-Train Quantization.

[BibT_eX]

[DOI]

Lukas Frickenstein

Anmol Singh

Driton Salihu

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

SceneFlowFields++: Multi-frame Matching, Visibility Prediction, and Robust Interpolation for Scene Flow Estimation.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2020

A Hardware/Software Framework for the Integration of FPGA-based Accelerators into Cloud Computing Infrastructures.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Smart Cloud, 2020

Binary DAD-Net: Binarized Driveable Area Detection Network for Autonomous Driving.

[BibT_eX]

[DOI]

Jakob Mayr

Federico Tombari

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

ALF: Autoencoder-based Low-rank Filter-sharing for Efficient Convolutional Neural Networks.

[BibT_eX]

[DOI]

Laura Hauenschild

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

L2PF - Learning to Prune Faster.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision and Image Processing - 5th International Conference, 2020

MonoComb: A Sparse-to-Dense Combination Approach for Monocular Scene Flow.

[BibT_eX]

[DOI]

René Schuster

Didier Stricker

Proceedings of the CSCS '20: Computer Science in Cars Symposium, 2020

2019

Headlight Range Estimation for Autonomous Driving using Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

An Empirical Evaluation Study on the Training of SDC Features for Dense Pixel Matching.

[BibT_eX]

[DOI]

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

SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks.

[BibT_eX]

[DOI]

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

DSC: Dense-Sparse Convolution for Vectorized Inference of Convolutional Neural Networks.

[BibT_eX]

[DOI]

Fatih Ayar

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

Resource-Aware Optimization of DNNs for Embedded Applications.

[BibT_eX]

[DOI]

Proceedings of the 16th Conference on Computer and Robot Vision, 2019

2018

Self-Supervised Learning of the Drivable Area for Autonomous Vehicles.

[BibT_eX]

[DOI]

Jakob Mayr

Federico Tombari

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2016

Geodesic pixel neighborhoods for 2D and 3D scene understanding.

[BibT_eX]

[DOI]

Vladimir Haltakov

Comput. Vis. Image Underst., 2016

2015

Semantic Segmentation Based Traffic Light Detection at Day and at Night.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 37th German Conference, 2015

2014

Parking assistance using dense motion-stereo - Real-time parking slot detection, collision warning and augmented parking.

[BibT_eX]

[DOI]

Eric Wahl

Mach. Vis. Appl., 2014

A Stochastic Cost Function for Stereo Vision.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference, 2014

Geodesic pixel neighborhoods for multi-class image segmentation.

[BibT_eX]

[DOI]

Vladimir Haltakov

Proceedings of the British Machine Vision Conference, 2014

2013

Contributions to stereo vision.

[BibT_eX]

[DOI]

PhD thesis, 2013

Framework for Generation of Synthetic Ground Truth Data for Driver Assistance Applications.

[BibT_eX]

[DOI]

Vladimir Haltakov

Proceedings of the Pattern Recognition - 35th German Conference, 2013

2012

Stereo Fusion from Multiple Viewpoints.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition, 2012

2011

Efficient stereo matching for moving cameras and decalibrated rigs.

[BibT_eX]

[DOI]

Eric Wahl

Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2011

Efficient Stereo and Optical Flow with Robust Similarity Measures.

[BibT_eX]

[DOI]

Eric Wahl

Proceedings of the Pattern Recognition - 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31, 2011

2009

Efficient Disparity Computation without Maximum Disparity for Real-Time Stereo Vision.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference, 2009

2008

Image based rendering for motion compensation in angiographic roadmapping.

[BibT_eX]

[DOI]