Christian Unger

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 32

Top Venues

CoRR

BMVC

WACV

CVPR Workshops

Technical University Munich (PHD)

Education History

Technical University Munich

PHD

Publications

Pierpaolo Morì, Lukas Frickenstein, Shambhavi Balamuthu Sampath, Moritz Thoma, Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Christian Unger, Walter Stechele, Daniel Mueller-Gritschneder, Claudio Passerone
Wino Vidi Vici: Conquering Numerical Instability of 8-bit Winograd Convolution for Accurate Inference Acceleration on Edge. WACV (2024)
Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Emanuele Valpreda, Manfredi Camalleri, Qi Zhao, Christian Unger, Naveen Shankar Nagaraja, Maurizio Martina, Walter Stechele
HW-Flow: A Multi-Abstraction Level HW-CNN Codesign Pruning Methodology. Leibniz Trans. Embed. Syst. 8 (1) (2022)
René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker
SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation. WACV (2021)
Manoj Rohit Vemparala, Nael Fasfous, Lukas Frickenstein, Alexander Frickenstein, Anmol Singh, Driton Salihu, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele
Hardware-Aware Mixed-Precision Neural Networks using In-Train Quantization. BMVC (2021)
Manoj Rohit Vemparala, Alexander Frickenstein, Nael Fasfous, Lukas Frickenstein, Qi Zhao, Sabine Kuhn, Daniel Ehrhardt, Yuankai Wu, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele
BreakingBED - Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks. CoRR (2021)
Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Mhd Ali Moraly, Aquib Jamal, Lukas Frickenstein, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele
L2PF - Learning to Prune Faster. CoRR (2021)
Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Sreetama Sarkar, Qi Zhao, Sabine Kuhn, Lukas Frickenstein, Anmol Singh, Christian Unger, Naveen Shankar Nagaraja, Christian Wressnegger, Walter Stechele
Adversarial Robust Model Compression Using In-Train Pruning. CVPR Workshops (2021)
Manoj Rohit Vemparala, Alexander Frickenstein, Nael Fasfous, Lukas Frickenstein, Qi Zhao, Sabine Kuhn, Daniel Ehrhardt, Yuankai Wu, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele
BreakingBED: Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks. IntelliSys (1) (2021)
René Schuster, Christian Unger, Didier Stricker
A Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions. WACV (2021)
Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Emanuele Valpreda, Driton Salihu, Nguyen Anh Vu Doan, Christian Unger, Naveen Shankar Nagaraja, Maurizio Martina, Walter Stechele
HW-FlowQ: A Multi-Abstraction Level HW-CNN Co-design Quantization Methodology. ACM Trans. Embed. Comput. Syst. 20 (5s) (2021)
Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Mohamed Badawy, Felix Hundhausen, Julian Höfer, Naveen Shankar Nagaraja, Christian Unger, Hans-Jörg Vögel, Jürgen Becker, Tamim Asfour, Walter Stechele
Binary-LoRAX: Low-Latency Runtime Adaptable XNOR Classifier for Semi-Autonomous Grasping with Prosthetic Hands. ICRA (2021)
Alexander Frickenstein, Manoj Rohit Vemparala, Nael Fasfous, Laura Hauenschild, Naveen Shankar Nagaraja, Christian Unger, Walter Stechele
ALF: Autoencoder-based Low-rank Filter-sharing for Efficient Convolutional Neural Networks. CoRR (2020)
René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker
SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation. CoRR (2020)
René Schuster, Christian Unger, Didier Stricker
MonoComb: A Sparse-to-Dense Combination Approach for Monocular Scene Flow. CoRR (2020)
René Schuster, Christian Unger, Didier Stricker
A Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions. CoRR (2020)
Alexander Frickenstein, Manoj Rohit Vemparala, Nael Fasfous, Laura Hauenschild, Naveen Shankar Nagaraja, Christian Unger, Walter Stechele
ALF: Autoencoder-based Low-rank Filter-sharing for Efficient Convolutional Neural Networks. DAC (2020)
Fritjof Steinert, Philipp Kreowsky, Eric L. Wisotzky, Christian Unger, Benno Stabernack
A Hardware/Software Framework for the Integration of FPGA-based Accelerators into Cloud Computing Infrastructures. SmartCloud (2020)
Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Mhd Ali Moraly, Aquib Jamal, Lukas Frickenstein, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele
L2PF - Learning to Prune Faster. CVIP (3) (2020)
Alexander Frickenstein, Manoj Rohit Vemparala, Jakob Mayr, Naveen Shankar Nagaraja, Christian Unger, Federico Tombari, Walter Stechele
Binary DAD-Net: Binarized Driveable Area Detection Network for Autonomous Driving. CoRR (2020)
Alexander Frickenstein, Manoj Rohit Vemparala, Jakob Mayr, Naveen Shankar Nagaraja, Christian Unger, Federico Tombari, Walter Stechele
Binary DAD-Net: Binarized Driveable Area Detection Network for Autonomous Driving. ICRA (2020)
René Schuster, Didier Stricker, Christian Unger
MonoComb: A Sparse-to-Dense Combination Approach for Monocular Scene Flow. CSCS (2020)
René Schuster, Oliver Wasenmüller, Christian Unger, Georg Kuschk, Didier Stricker
SceneFlowFields++: Multi-frame Matching, Visibility Prediction, and Robust Interpolation for Scene Flow Estimation. Int. J. Comput. Vis. 128 (2) (2020)
René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker
An Empirical Evaluation Study on the Training of SDC Features for Dense Pixel Matching. CVPR Workshops (2019)
Jakob Mayr, Can Giracoglu, Christian Unger, Federico Tombari
Headlight Range Estimation for Autonomous Driving using Deep Neural Networks. IV (2019)
René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker
SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks. CVPR (2019)
Alexander Frickenstein, Manoj Rohit Vemparala, Christian Unger, Fatih Ayar, Walter Stechele
DSC: Dense-Sparse Convolution for Vectorized Inference of Convolutional Neural Networks. CVPR Workshops (2019)
René Schuster, Oliver Wasenmüller, Christian Unger, Georg Kuschk, Didier Stricker
SceneFlowFields++: Multi-frame Matching, Visibility Prediction, and Robust Interpolation for Scene Flow Estimation. CoRR (2019)
Alexander Frickenstein, Christian Unger, Walter Stechele
Resource-Aware Optimization of DNNs for Embedded Applications. CRV (2019)
René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker
SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks. CoRR (2019)
René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker
An Empirical Evaluation Study on the Training of SDC Features for Dense Pixel Matching. CoRR (2019)
Jakob Mayr, Christian Unger, Federico Tombari
Self-Supervised Learning of the Drivable Area for Autonomous Vehicles. IROS (2018)
Vladimir Haltakov, Christian Unger, Slobodan Ilic
Geodesic pixel neighborhoods for 2D and 3D scene understanding. Comput. Vis. Image Underst. 148 (2016)
Vladimir Haltakov, Jakob Mayr, Christian Unger, Slobodan Ilic
Semantic Segmentation Based Traffic Light Detection at Day and at Night. GCPR (2015)
Christian Unger, Eric Wahl, Slobodan Ilic
Parking assistance using dense motion-stereo - Real-time parking slot detection, collision warning and augmented parking. Mach. Vis. Appl. 25 (3) (2014)
Christian Unger, Slobodan Ilic
A Stochastic Cost Function for Stereo Vision. BMVC (2014)
Vladimir Haltakov, Christian Unger, Slobodan Ilic
Geodesic pixel neighborhoods for multi-class image segmentation. BMVC (2014)
Vladimir Haltakov, Christian Unger, Slobodan Ilic
Framework for Generation of Synthetic Ground Truth Data for Driver Assistance Applications. GCPR (2013)
Christian Unger, Eric Wahl, Peter F. Sturm, Slobodan Ilic
Stereo Fusion from Multiple Viewpoints. DAGM/OAGM Symposium (2012)
Christian Unger, Eric Wahl, Slobodan Ilic
Efficient stereo matching for moving cameras and decalibrated rigs. Intelligent Vehicles Symposium (2011)
Christian Unger, Eric Wahl, Slobodan Ilic
Efficient Stereo and Optical Flow with Robust Similarity Measures. DAGM-Symposium (2011)
Christian Unger, Selim Benhimane, Eric Wahl, Nassir Navab
Efficient Disparity Computation without Maximum Disparity for Real-Time Stereo Vision. BMVC (2009)
Christian Unger, Martin Groher, Nassir Navab
Image based rendering for motion compensation in angiographic roadmapping. CVPR (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Christian Unger