Christian Unger

45 papers A* 5A 8B 1C 1Journal 15Unranked 14

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Pruning as a Binarization Technique. CVPR Workshops Lukas Frickenstein, Pierpaolo Morì, Shambhavi Balamuthu Sampath, Moritz Thoma, Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Christian Unger, Claudio Passerone, Walter Stechele
2024	A	`conf`	Wino Vidi Vici: Conquering Numerical Instability of 8-bit Winograd Convolution for Accurate Inference Acceleration on Edge. WACV 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
2023	—	`conf`	Adversarial Robustness of Multi-bit Convolutional Neural Networks. IntelliSys (3) Lukas Frickenstein, Shambhavi Balamuthu Sampath, Pierpaolo Morì, Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Christian Unger, Claudio Passerone, Walter Stechele
2022	J	`jnl`	HW-Flow: A Multi-Abstraction Level HW-CNN Codesign Pruning Methodology. Leibniz Trans. Embed. Syst. Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Emanuele Valpreda, Manfredi Camalleri, Qi Zhao, Christian Unger, Naveen Shankar Nagaraja, Maurizio Martina, Walter Stechele
2021	A	`conf`	A Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions. WACV René Schuster, Christian Unger, Didier Stricker
2021	—	`conf`	Adversarial Robust Model Compression Using In-Train Pruning. CVPR Workshops 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
2021	A*	`conf`	Binary-LoRAX: Low-Latency Runtime Adaptable XNOR Classifier for Semi-Autonomous Grasping with Prosthetic Hands. ICRA 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
2021	J	`jnl`	BreakingBED - Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks. CoRR Manoj Rohit Vemparala, Alexander Frickenstein, Nael Fasfous, Lukas Frickenstein, Qi Zhao, Sabine Kuhn, Daniel Ehrhardt, Yuankai Wu, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele
2021	—	`conf`	BreakingBED: Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks. IntelliSys (1) Manoj Rohit Vemparala, Alexander Frickenstein, Nael Fasfous, Lukas Frickenstein, Qi Zhao, Sabine Kuhn, Daniel Ehrhardt, Yuankai Wu, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele
2021	J	`jnl`	HW-FlowQ: A Multi-Abstraction Level HW-CNN Co-design Quantization Methodology. ACM Trans. Embed. Comput. Syst. Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Emanuele Valpreda, Driton Salihu, Nguyen Anh Vu Doan, Christian Unger, Naveen Shankar Nagaraja, Maurizio Martina, Walter Stechele
2021	A	`conf`	Hardware-Aware Mixed-Precision Neural Networks using In-Train Quantization. BMVC Manoj Rohit Vemparala, Nael Fasfous, Lukas Frickenstein, Alexander Frickenstein, Anmol Singh, Driton Salihu, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele
2021	J	`jnl`	L2PF - Learning to Prune Faster. CoRR Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Mhd Ali Moraly, Aquib Jamal, Lukas Frickenstein, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele
2021	A	`conf`	SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation. WACV René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker
2020	J	`jnl`	A Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions. CoRR René Schuster, Christian Unger, Didier Stricker
2020	—	`conf`	A Hardware/Software Framework for the Integration of FPGA-based Accelerators into Cloud Computing Infrastructures. SmartCloud Fritjof Steinert, Philipp Kreowsky, Eric L. Wisotzky, Christian Unger, Benno Stabernack
2020	A*	`conf`	ALF: Autoencoder-based Low-rank Filter-sharing for Efficient Convolutional Neural Networks. DAC Alexander Frickenstein, Manoj Rohit Vemparala, Nael Fasfous, Laura Hauenschild, Naveen Shankar Nagaraja, Christian Unger, Walter Stechele
2020	J	`jnl`	ALF: Autoencoder-based Low-rank Filter-sharing for Efficient Convolutional Neural Networks. CoRR Alexander Frickenstein, Manoj Rohit Vemparala, Nael Fasfous, Laura Hauenschild, Naveen Shankar Nagaraja, Christian Unger, Walter Stechele
2020	A*	`conf`	Binary DAD-Net: Binarized Driveable Area Detection Network for Autonomous Driving. ICRA Alexander Frickenstein, Manoj Rohit Vemparala, Jakob Mayr, Naveen Shankar Nagaraja, Christian Unger, Federico Tombari, Walter Stechele
2020	J	`jnl`	Binary DAD-Net: Binarized Driveable Area Detection Network for Autonomous Driving. CoRR Alexander Frickenstein, Manoj Rohit Vemparala, Jakob Mayr, Naveen Shankar Nagaraja, Christian Unger, Federico Tombari, Walter Stechele
2020	—	`conf`	L2PF - Learning to Prune Faster. CVIP (3) Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Mhd Ali Moraly, Aquib Jamal, Lukas Frickenstein, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele
2020	—	`conf`	MonoComb: A Sparse-to-Dense Combination Approach for Monocular Scene Flow. CSCS René Schuster, Didier Stricker, Christian Unger
2020	J	`jnl`	MonoComb: A Sparse-to-Dense Combination Approach for Monocular Scene Flow. CoRR René Schuster, Christian Unger, Didier Stricker
2020	J	`jnl`	SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation. CoRR René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker
2020	J	`jnl`	SceneFlowFields++: Multi-frame Matching, Visibility Prediction, and Robust Interpolation for Scene Flow Estimation. Int. J. Comput. Vis. René Schuster, Oliver Wasenmüller, Christian Unger, Georg Kuschk, Didier Stricker
2019	—	`conf`	An Empirical Evaluation Study on the Training of SDC Features for Dense Pixel Matching. CVPR Workshops René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker
2019	J	`jnl`	An Empirical Evaluation Study on the Training of SDC Features for Dense Pixel Matching. CoRR René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker
2019	—	`conf`	DSC: Dense-Sparse Convolution for Vectorized Inference of Convolutional Neural Networks. CVPR Workshops Alexander Frickenstein, Manoj Rohit Vemparala, Christian Unger, Fatih Ayar, Walter Stechele
2019	C	`conf`	Headlight Range Estimation for Autonomous Driving using Deep Neural Networks. IV Jakob Mayr, Can Giracoglu, Christian Unger, Federico Tombari
2019	—	`conf`	Resource-Aware Optimization of DNNs for Embedded Applications. CRV Alexander Frickenstein, Christian Unger, Walter Stechele
2019	A*	`conf`	SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks. CVPR René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker
2019	J	`jnl`	SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks. CoRR René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker
2019	J	`jnl`	SceneFlowFields++: Multi-frame Matching, Visibility Prediction, and Robust Interpolation for Scene Flow Estimation. CoRR René Schuster, Oliver Wasenmüller, Christian Unger, Georg Kuschk, Didier Stricker
2018	A	`conf`	Self-Supervised Learning of the Drivable Area for Autonomous Vehicles. IROS Jakob Mayr, Christian Unger, Federico Tombari
2016	J	`jnl`	Geodesic pixel neighborhoods for 2D and 3D scene understanding. Comput. Vis. Image Underst. Vladimir Haltakov, Christian Unger, Slobodan Ilic
2015	—	`conf`	Semantic Segmentation Based Traffic Light Detection at Day and at Night. GCPR Vladimir Haltakov, Jakob Mayr, Christian Unger, Slobodan Ilic
2014	A	`conf`	A Stochastic Cost Function for Stereo Vision. BMVC Christian Unger, Slobodan Ilic
2014	A	`conf`	Geodesic pixel neighborhoods for multi-class image segmentation. BMVC Vladimir Haltakov, Christian Unger, Slobodan Ilic
2014	J	`jnl`	Parking assistance using dense motion-stereo - Real-time parking slot detection, collision warning and augmented parking. Mach. Vis. Appl. Christian Unger, Eric Wahl, Slobodan Ilic
2013	—	`—`	Contributions to stereo vision. Christian Unger
2013	—	`conf`	Framework for Generation of Synthetic Ground Truth Data for Driver Assistance Applications. GCPR Vladimir Haltakov, Christian Unger, Slobodan Ilic
2012	—	`conf`	Stereo Fusion from Multiple Viewpoints. DAGM/OAGM Symposium Christian Unger, Eric Wahl, Peter F. Sturm, Slobodan Ilic
2011	—	`conf`	Efficient Stereo and Optical Flow with Robust Similarity Measures. DAGM-Symposium Christian Unger, Eric Wahl, Slobodan Ilic
2011	B	`conf`	Efficient stereo matching for moving cameras and decalibrated rigs. Intelligent Vehicles Symposium Christian Unger, Eric Wahl, Slobodan Ilic
2009	A	`conf`	Efficient Disparity Computation without Maximum Disparity for Real-Time Stereo Vision. BMVC Christian Unger, Selim Benhimane, Eric Wahl, Nassir Navab
2008	A*	`conf`	Image based rendering for motion compensation in angiographic roadmapping. CVPR Christian Unger, Martin Groher, Nassir Navab