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Books and Theses
- 2013
[b1]Christian Unger:
Contributions to stereo vision. Technical University Munich, 2013, pp. 1-140
Journal Articles
- 2022
- [j5]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): 03:1-03:30 (2022) - 2021
- [j4]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): 66:1-66:25 (2021) - 2020
- [j3]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): 527-546 (2020) - 2016
- [j2]Vladimir Haltakov, Christian Unger, Slobodan Ilic:
Geodesic pixel neighborhoods for 2D and 3D scene understanding. Comput. Vis. Image Underst. 148: 164-180 (2016) - 2014
- [j1]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): 561-581 (2014)
Conference and Workshop Papers
- 2024
- [c28]Lukas Frickenstein, Pierpaolo Morì, Shambhavi Balamuthu Sampath, Moritz Thoma, Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Christian Unger, Claudio Passerone, Walter Stechele:
Pruning as a Binarization Technique. CVPR Workshops 2024: 2131-2140 - [c27]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: 53-62 - 2021
- [c26]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: 60 - [c25]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: 66-75 - [c24]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: 13430-13437 - [c23]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: 148-167 - [c22]René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker:
SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation. WACV 2021: 197-206 - [c21]René Schuster, Christian Unger, Didier Stricker:
A Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions. WACV 2021: 247-255 - 2020
- [c20]René Schuster, Didier Stricker, Christian Unger:
MonoComb: A Sparse-to-Dense Combination Approach for Monocular Scene Flow. CSCS 2020: 1:1-1:8 - [c19]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: 249-261 - [c18]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: 1-6 - [c17]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: 2295-2301 - [c16]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: 23-28 - 2019
- [c15]Alexander Frickenstein, Christian Unger, Walter Stechele:
Resource-Aware Optimization of DNNs for Embedded Applications. CRV 2019: 17-24 - [c14]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: 1344-1352 - [c13]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: 1353-1360 - [c12]René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker:
SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks. CVPR 2019: 2556-2565 - [c11]Jakob Mayr, Can Giracoglu, Christian Unger, Federico Tombari:
Headlight Range Estimation for Autonomous Driving using Deep Neural Networks. IV 2019: 2251-2258 - 2018
- [c10]Jakob Mayr, Christian Unger, Federico Tombari:
Self-Supervised Learning of the Drivable Area for Autonomous Vehicles. IROS 2018: 362-369 - 2015
- [c9]Vladimir Haltakov, Jakob Mayr, Christian Unger, Slobodan Ilic:
Semantic Segmentation Based Traffic Light Detection at Day and at Night. GCPR 2015: 446-457 - 2014
- [c8]Vladimir Haltakov, Christian Unger, Slobodan Ilic:
Geodesic pixel neighborhoods for multi-class image segmentation. BMVC 2014 - [c7]Christian Unger, Slobodan Ilic:
A Stochastic Cost Function for Stereo Vision. BMVC 2014 - 2013
- [c6]Vladimir Haltakov, Christian Unger, Slobodan Ilic:
Framework for Generation of Synthetic Ground Truth Data for Driver Assistance Applications. GCPR 2013: 323-332 - 2012
- [c5]Christian Unger, Eric Wahl, Peter F. Sturm, Slobodan Ilic:
Stereo Fusion from Multiple Viewpoints. DAGM/OAGM Symposium 2012: 468-477 - 2011
- [c4]Christian Unger, Eric Wahl, Slobodan Ilic:
Efficient Stereo and Optical Flow with Robust Similarity Measures. DAGM-Symposium 2011: 246-255 - [c3]Christian Unger, Eric Wahl, Slobodan Ilic:
Efficient stereo matching for moving cameras and decalibrated rigs. Intelligent Vehicles Symposium 2011: 417-422 - 2009
- [c2]Christian Unger, Selim Benhimane, Eric Wahl, Nassir Navab:
Efficient Disparity Computation without Maximum Disparity for Real-Time Stereo Vision. BMVC 2009: 1-12 - 2008
- [c1]Christian Unger, Martin Groher, Nassir Navab:
Image based rendering for motion compensation in angiographic roadmapping. CVPR 2008
Informal and Other Publications
- 2021
- [i10]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 abs/2101.02663 (2021) - [i9]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 abs/2103.08031 (2021) - 2020
- [i8]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 abs/2006.08178 (2020) - [i7]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 abs/2007.13384 (2020) - [i6]René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker:
SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation. CoRR abs/2008.09346 (2020) - [i5]René Schuster, Christian Unger, Didier Stricker:
MonoComb: A Sparse-to-Dense Combination Approach for Monocular Scene Flow. CoRR abs/2010.10842 (2020) - [i4]René Schuster, Christian Unger, Didier Stricker:
A Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions. CoRR abs/2011.01603 (2020) - 2019
- [i3]René Schuster, Oliver Wasenmüller, Christian Unger, Georg Kuschk, Didier Stricker:
SceneFlowFields++: Multi-frame Matching, Visibility Prediction, and Robust Interpolation for Scene Flow Estimation. CoRR abs/1902.10099 (2019) - [i2]René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker:
SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks. CoRR abs/1904.03076 (2019) - [i1]René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker:
An Empirical Evaluation Study on the Training of SDC Features for Dense Pixel Matching. CoRR abs/1904.06167 (2019)
Coauthor Index
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