Image based rendering for motion compensation in angiographic roadmapping. - Christian Unger; Martin Groher; Nassir Navab (CVPR, 2008)

Efficient Disparity Computation without Maximum Disparity for Real-Time Stereo Vision. - Christian Unger; Selim Benhimane; Eric Wahl; Nassir Navab (BMVC, 2009)

Efficient Stereo and Optical Flow with Robust Similarity Measures. - Christian Unger; Eric Wahl; Slobodan Ilic (DAGM-Symposium, 2011)

Efficient stereo matching for moving cameras and decalibrated rigs. - Christian Unger; Eric Wahl; Slobodan Ilic (Intelligent Vehicles Symposium, 2011)

Stereo Fusion from Multiple Viewpoints. - Christian Unger; Eric Wahl; Peter F. Sturm; Slobodan Ilic (DAGM/OAGM Symposium, 2012)

Framework for Generation of Synthetic Ground Truth Data for Driver Assistance Applications. - Vladimir Haltakov; Christian Unger; Slobodan Ilic (GCPR, 2013)

Contributions to stereo vision. - Christian Unger (2013)

Geodesic pixel neighborhoods for multi-class image segmentation. - Vladimir Haltakov; Christian Unger; Slobodan Ilic (BMVC, 2014)

A Stochastic Cost Function for Stereo Vision. - Christian Unger; Slobodan Ilic (BMVC, 2014)

Parking assistance using dense motion-stereo - Real-time parking slot detection, collision warning and augmented parking. - Christian Unger; Eric Wahl; Slobodan Ilic (Mach. Vis. Appl., 2014)

Semantic Segmentation Based Traffic Light Detection at Day and at Night. - Vladimir Haltakov; Jakob Mayr; Christian Unger; Slobodan Ilic (GCPR, 2015)

Geodesic pixel neighborhoods for 2D and 3D scene understanding. - Vladimir Haltakov; Christian Unger; Slobodan Ilic (Comput. Vis. Image Underst., 2016)

Self-Supervised Learning of the Drivable Area for Autonomous Vehicles. - Jakob Mayr; Christian Unger; Federico Tombari (IROS, 2018)

Resource-Aware Optimization of DNNs for Embedded Applications. - Alexander Frickenstein; Christian Unger; Walter Stechele (CRV, 2019)

DSC: Dense-Sparse Convolution for Vectorized Inference of Convolutional Neural Networks. - Alexander Frickenstein; Manoj Rohit Vemparala; Christian Unger; Fatih Ayar; Walter Stechele (CVPR Workshops, 2019)

SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks. - René Schuster; Oliver Wasenmüller; Christian Unger; Didier Stricker (CVPR, 2019)

An Empirical Evaluation Study on the Training of SDC Features for Dense Pixel Matching. - René Schuster; Oliver Wasenmüller; Christian Unger; Didier Stricker (CVPR Workshops, 2019)

Headlight Range Estimation for Autonomous Driving using Deep Neural Networks. - Jakob Mayr; Can Giracoglu; Christian Unger; Federico Tombari (IV, 2019)

MonoComb: A Sparse-to-Dense Combination Approach for Monocular Scene Flow. - René Schuster; Didier Stricker; Christian Unger (CSCS, 2020)

L2PF - Learning to Prune Faster. - Manoj Rohit Vemparala; Nael Fasfous; Alexander Frickenstein; Mhd Ali Moraly; Aquib Jamal; Lukas Frickenstein; Christian Unger; Naveen Shankar Nagaraja; Walter Stechele (CVIP (3), 2020)

ALF: Autoencoder-based Low-rank Filter-sharing for Efficient Convolutional Neural Networks. - Alexander Frickenstein; Manoj Rohit Vemparala; Nael Fasfous; Laura Hauenschild; Naveen Shankar Nagaraja; Christian Unger; Walter Stechele (DAC, 2020)

Binary DAD-Net: Binarized Driveable Area Detection Network for Autonomous Driving. - Alexander Frickenstein; Manoj Rohit Vemparala; Jakob Mayr; Naveen Shankar Nagaraja; Christian Unger; Federico Tombari; Walter Stechele (ICRA, 2020)

A Hardware/Software Framework for the Integration of FPGA-based Accelerators into Cloud Computing Infrastructures. - Fritjof Steinert; Philipp Kreowsky; Eric L. Wisotzky; Christian Unger; Benno Stabernack (SmartCloud, 2020)

SceneFlowFields++: Multi-frame Matching, Visibility Prediction, and Robust Interpolation for Scene Flow Estimation. - René Schuster; Oliver Wasenmüller; Christian Unger; Georg Kuschk; Didier Stricker (Int. J. Comput. Vis., 2020)

Hardware-Aware Mixed-Precision Neural Networks using In-Train Quantization. - Manoj Rohit Vemparala; Nael Fasfous; Lukas Frickenstein; Alexander Frickenstein; Anmol Singh; Driton Salihu; Christian Unger; Naveen Shankar Nagaraja; Walter Stechele (BMVC, 2021)

Adversarial Robust Model Compression Using In-Train Pruning. - 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 (CVPR Workshops, 2021)

Binary-LoRAX: Low-Latency Runtime Adaptable XNOR Classifier for Semi-Autonomous Grasping with Prosthetic Hands. - Nael Fasfous; Manoj Rohit Vemparala; Alexander Frickenstein; Mohamed Badawy; Felix Hundhausen; Julian Höfer; Naveen Shankar Nagaraja; Christian Unger; Hans-Jörg Vögel; Jürgen Becker 001; Tamim Asfour; Walter Stechele (ICRA, 2021)

BreakingBED: Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks. - Manoj Rohit Vemparala; Alexander Frickenstein; Nael Fasfous; Lukas Frickenstein; Qi Zhao; Sabine Kuhn; Daniel Ehrhardt; Yuankai Wu; Christian Unger; Naveen Shankar Nagaraja; Walter Stechele (IntelliSys (1), 2021)

A Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions. - René Schuster; Christian Unger; Didier Stricker (WACV, 2021)

SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation. - René Schuster; Oliver Wasenmüller; Christian Unger; Didier Stricker (WACV, 2021)

HW-FlowQ: A Multi-Abstraction Level HW-CNN Co-design Quantization Methodology. - Nael Fasfous; Manoj Rohit Vemparala; Alexander Frickenstein; Emanuele Valpreda; Driton Salihu; Nguyen Anh Vu Doan; Christian Unger; Naveen Shankar Nagaraja; Maurizio Martina; Walter Stechele (ACM Trans. Embed. Comput. Syst., 2021)

HW-Flow: A Multi-Abstraction Level HW-CNN Codesign Pruning Methodology. - Manoj Rohit Vemparala; Nael Fasfous; Alexander Frickenstein; Emanuele Valpreda; Manfredi Camalleri; Qi Zhao; Christian Unger; Naveen Shankar Nagaraja; Maurizio Martina; Walter Stechele (Leibniz Trans. Embed. Syst., 2022)

Adversarial Robustness of Multi-bit Convolutional Neural Networks. - Lukas Frickenstein; Shambhavi Balamuthu Sampath; Pierpaolo Morì; Manoj Rohit Vemparala; Nael Fasfous; Alexander Frickenstein; Christian Unger; Claudio Passerone; Walter Stechele (IntelliSys (3), 2023)

Pruning as a Binarization Technique. - Lukas Frickenstein; Pierpaolo Morì; Shambhavi Balamuthu Sampath; Moritz Thoma; Nael Fasfous; Manoj Rohit Vemparala; Alexander Frickenstein; Christian Unger; Claudio Passerone; Walter Stechele (CVPR Workshops, 2024)

Wino Vidi Vici: Conquering Numerical Instability of 8-bit Winograd Convolution for Accurate Inference Acceleration on Edge. - 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 (WACV, 2024)