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2020 – today
- 2023
[j24]Karthik Shetty
, Annette Birkhold, Srikrishna Jaganathan, Norbert Strobel, Bernhard Egger, Markus Kowarschik, Andreas K. Maier:
BOSS: Bones, organs and skin shape model. Comput. Biol. Medicine 165: 107383 (2023)- [j23]Edith Tretschk, Navami Kairanda, Mallikarjun B. R., Rishabh Dabral, Adam Kortylewski, Bernhard Egger, Marc Habermann, Pascal Fua, Christian Theobalt, Vladislav Golyanik:
State of the Art in Dense Monocular Non-Rigid 3D Reconstruction. Comput. Graph. Forum 42(2): 485-520 (2023) - [j22]Mohammed Mubarkoot, Jörn Altmann, Morteza Rasti Barzoki, Bernhard Egger, Hyejin Lee:
Software Compliance Requirements, Factors, and Policies: A Systematic Literature Review. Comput. Secur. 124: 102985 (2023) - [j21]Soroush Karimian Aliabadi, Mohammad-Mohsen Aseman-Manzar, Reza Entezari-Maleki, Danilo Ardagna, Bernhard Egger, Ali Movaghar:
Fixed-Point Iteration Approach to Spark Scalable Performance Modeling and Evaluation. IEEE Trans. Cloud Comput. 11(1): 897-910 (2023) - [j20]Mohammad-Mohsen Aseman-Manzar, Soroush Karimian Aliabadi, Reza Entezari-Maleki, Bernhard Egger, Ali Movaghar:
Cost-Aware Resource Recommendation for DAG-Based Big Data Workflows: An Apache Spark Case Study. IEEE Trans. Serv. Comput. 16(3): 1726-1737 (2023) - [j19]Maximilian Weiherer, Andreas Eigenberger, Bernhard Egger, Vanessa Brébant, Lukas Prantl, Christoph Palm:
Learning the shape of female breasts: an open-access 3D statistical shape model of the female breast built from 110 breast scans. Vis. Comput. 39(4): 1597-1616 (2023) - [c62]Daon Park, Sungbin Jo, Bernhard Egger:
Improving Throughput-oriented Generative Inference with CPUs. APSys 2023: 37-42 - [c61]Hyemi Min, Jungyoon Kwon, Bernhard Egger:
Flexer: Out-of-Order Scheduling for Multi-NPUs. CGO 2023: 212-223 - [c60]Chunlu Li, Andreas Morel-Forster, Thomas Vetter, Bernhard Egger, Adam Kortylewski:
Robust Model-based Face Reconstruction through Weakly-Supervised Outlier Segmentation. CVPR 2023: 372-381 - [c59]Karthik Shetty, Annette Birkhold, Srikrishna Jaganathan, Norbert Strobel, Markus Kowarschik, Andreas K. Maier, Bernhard Egger:
PLIKS: A Pseudo-Linear Inverse Kinematic Solver for 3D Human Body Estimation. CVPR 2023: 574-584 - [e3]Bernhard Egger, Dongyoon Lee:
Proceedings of the 24th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems, LCTES 2023, Orlando, FL, USA, 18 June 2023. ACM 2023 [contents] - [i28]Karthik Shetty, Annette Birkhold, Srikrishna Jaganathan, Norbert Strobel, Bernhard Egger, Markus Kowarschik, Andreas K. Maier:
BOSS: Bones, Organs and Skin Shape Model. CoRR abs/2303.04923 (2023) - [i27]Hannah Schieber, Fabian Deuser, Bernhard Egger, Norbert Oswald, Daniel Roth:
NeRFtrinsic Four: An End-To-End Trainable NeRF Jointly Optimizing Diverse Intrinsic and Extrinsic Camera Parameters. CoRR abs/2303.09412 (2023) - [i26]Vanessa Wirth, Anna-Maria Liphardt, Birte Coppers, Johanna Bräunig, Simon Heinrich, Arnd Kleyer, Georg Schett, Martin Vossiek, Bernhard Egger, Marc Stamminger:
ShaRPy: Shape Reconstruction and Hand Pose Estimation from RGB-D with Uncertainty. CoRR abs/2303.10042 (2023) - [i25]Maximilian Weiherer, Bernhard Egger:
From Zero to Hero: Convincing with Extremely Complicated Math. CoRR abs/2304.00399 (2023) - [i24]James A. D. Gardner, Bernhard Egger, William A. P. Smith:
RENI++ A Rotation-Equivariant, Scale-Invariant, Natural Illumination Prior. CoRR abs/2311.09361 (2023) - 2022
- [j18]Ehsan Ataie, Reza Entezari-Maleki, Sayed Ehsan Etesami, Bernhard Egger, Leonel Sousa, Ali Movaghar:
Modeling and evaluation of dispatching policies in IaaS cloud data centers using SANs. Sustain. Comput. Informatics Syst. 33: 100617 (2022) - [c58]Safa C. Medin, Bernhard Egger, Anoop Cherian, Ye Wang, Joshua B. Tenenbaum, Xiaoming Liu, Tim K. Marks:
MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation. AAAI 2022: 1962-1971 - [c57]Richard Marcus, Niklas Knoop, Bernhard Egger, Marc Stamminger:
A Lightweight Machine Learning Pipeline for LiDAR-simulation. DeLTA 2022: 176-183 - [c56]Amir Mohammad Alaei, Morteza Rasti Barzoki, Jörn Altmann, Bernhard Egger:
A Game-Theoretic Approach for Pricing and Determining Virtual Reality Investment and Cybersecurity Level in a Dual-Channel Supply Chain. GECON 2022: 62-71 - [c55]Jaume Mateu Cuadrat, Daon Park, Bernhard Egger:
A Black-Box Graph Partitioner for Generalized Deep Neural Network Parallelization. GECON 2022: 132-140 - [c54]Junsung Yook, Bernhard Egger:
Selective Data Migration Between Locality Groups in NUMA Systems. GECON 2022: 143-147 - [c53]Morteza Rasti Barzoki, Jörn Altmann, Bernhard Egger:
A Game-Theoretic Approach for Pricing and Determining Quality Levels of Cybersecurity Products Under an Exogenous Information-Sharing Program. GECON 2022: 153-157 - [c52]James A. D. Gardner, Bernhard Egger, William Smith:
Rotation-Equivariant Conditional Spherical Neural Fields for Learning a Natural Illumination Prior. NeurIPS 2022 - [c51]Younghyun Cho, Jiyeon Park, Florian Negele, Changyeon Jo, Thomas R. Gross, Bernhard Egger:
Dopia: online parallelism management for integrated CPU/GPU architectures. PPoPP 2022: 32-45 - [e2]Bernhard Egger, Aaron Smith:
CC '22: 31st ACM SIGPLAN International Conference on Compiler Construction, Seoul, South Korea, April 2 - 3, 2022. ACM 2022, ISBN 978-1-4503-9183-2 [contents] - [i23]Moritz Drobnitzky, Jonas Friederich, Bernhard Egger, Patrick Zschech:
Survey and Systematization of 3D Object Detection Models and Methods. CoRR abs/2201.09354 (2022) - [i22]Skylar Sutherland, Bernhard Egger, Joshua B. Tenenbaum:
Building 3D Generative Models from Minimal Data. CoRR abs/2203.02554 (2022) - [i21]James A. D. Gardner, Bernhard Egger, William A. P. Smith:
Rotation-Equivariant Conditional Spherical Neural Fields for Learning a Natural Illumination Prior. CoRR abs/2206.03858 (2022) - [i20]Richard Marcus, Niklas Knoop, Bernhard Egger, Marc Stamminger:
A Lightweight Machine Learning Pipeline for LiDAR-simulation. CoRR abs/2208.03130 (2022) - [i19]Edith Tretschk, Navami Kairanda, Mallikarjun B. R., Rishabh Dabral, Adam Kortylewski, Bernhard Egger, Marc Habermann, Pascal Fua, Christian Theobalt, Vladislav Golyanik:
State of the Art in Dense Monocular Non-Rigid 3D Reconstruction. CoRR abs/2210.15664 (2022) - [i18]Karthik Shetty, Annette Birkhold, Srikrishna Jaganathan, Norbert Strobel, Markus Kowarschik, Andreas K. Maier, Bernhard Egger:
PLIKS: A Pseudo-Linear Inverse Kinematic Solver for 3D Human Body Estimation. CoRR abs/2211.11734 (2022) - [i17]Maximilian Weiherer, Finn Klein, Bernhard Egger:
Approximating Intersections and Differences Between Statistical Shape Models. CoRR abs/2211.16314 (2022) - [i16]James A. D. Gardner, Bernhard Egger, William Smith, Christian Theobalt, Stefanie Wuhrer:
3D Morphable Models and Beyond (Dagstuhl Seminar 22121). Dagstuhl Reports 12(3): 97-116 (2022) - 2021
- [c50]Karthik Shetty, Annette Birkhold, Norbert Strobel, Bernhard Egger, Srikrishna Jaganathan, Markus Kowarschik, Andreas Maier:
Deep Learning Compatible Differentiable X-ray Projections for Inverse Rendering. Bildverarbeitung für die Medizin 2021: 290-295 - [c49]Hyemi Min, Jungyoon Kwon, Bernhard Egger:
Fast generation of optimized execution plans for parameterizable CNN accelerators: work-in-progress. CASES 2021: 1-2 - [c48]Bernhard Egger, Skylar Sutherland, Safa C. Medin, Joshua B. Tenenbaum:
Identity-Expression Ambiguity in 3D Morphable Face Models. FG 2021: 1-7 - [c47]Daon Park, Hyunsoo Kim, Youngsu Cho, Changyeon Jo, Bernhard Egger:
Can VM Live Migration Improve Job Throughput? Evidence from a Real World Cluster Trace. GECON 2021: 17-26 - [c46]Yodit Gebrealif, Mohammed Mubarkoot, Jörn Altmann, Bernhard Egger:
Architecture for Orchestrating Containers in Cloud Federations. GECON 2021: 66-75 - [c45]Hyunik Kim, Changyeon Jo, Jörn Altmann, Bernhard Egger:
RapidSwap: a Hierarchical Far Memory. GECON 2021: 143-151 - [c44]Yodit Gebrealif, Mohammed Mubarkoot, Jörn Altmann, Bernhard Egger:
AI-Based Container Orchestration for Federated Cloud Environments. FRAME@HPDC 2021: 15-16 - [c43]Skylar Sutherland, Bernhard Egger, Josh Tenenbaum:
Building 3D Morphable Models from a Single Scan. ICCVW 2021: 1-11 - [c42]Junsung Yook, Bernhard Egger:
Modeling Cache and Application Performance on Modern Shared Memory Multiprocessors. ISPA/BDCloud/SocialCom/SustainCom 2021: 1151-1158 - [i15]Karthik Shetty, Annette Birkhold, Norbert Strobel, Bernhard Egger, Srikrishna Jaganathan, Markus Kowarschik, Andreas Maier:
Deep Learning compatible Differentiable X-ray Projections for Inverse Rendering. CoRR abs/2102.02912 (2021) - [i14]Chunlu Li, Andreas Morel-Forster, Thomas Vetter, Bernhard Egger, Adam Kortylewski:
To fit or not to fit: Model-based Face Reconstruction and Occlusion Segmentation from Weak Supervision. CoRR abs/2106.09614 (2021) - [i13]Bernhard Egger, Skylar Sutherland, Safa C. Medin, Joshua B. Tenenbaum:
Identity-Expression Ambiguity in 3D Morphable Face Models. CoRR abs/2109.14203 (2021) - [i12]Safa C. Medin, Bernhard Egger, Anoop Cherian, Ye Wang, Joshua B. Tenenbaum, Xiaoming Liu, Tim K. Marks:
MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation. CoRR abs/2111.01048 (2021) - [i11]Shubhaankar Gupta, Thomas P. O'Connell, Bernhard Egger:
Beyond Flatland: Pre-training with a Strong 3D Inductive Bias. CoRR abs/2112.00113 (2021) - 2020
- [j17]Reza Entezari-Maleki, Younghyun Cho, Bernhard Egger:
Evaluation of memory performance in NUMA architectures using Stochastic Reward Nets. J. Parallel Distributed Comput. 144: 172-188 (2020) - [j16]Bernhard Egger, William A. P. Smith, Ayush Tewari, Stefanie Wuhrer, Michael Zollhöfer, Thabo Beeler, Florian Bernard, Timo Bolkart, Adam Kortylewski, Sami Romdhani, Christian Theobalt, Volker Blanz, Thomas Vetter:
3D Morphable Face Models - Past, Present, and Future. ACM Trans. Graph. 39(5): 157:1-157:38 (2020) - [j15]Younghyun Cho, Surim Oh, Bernhard Egger:
Performance Modeling of Parallel Loops on Multi-Socket Platforms Using Queueing Systems. IEEE Trans. Parallel Distributed Syst. 31(2): 318-331 (2020) - [c41]Changyeon Jo, Hyunik Kim, Hexiang Geng, Bernhard Egger:
RackMem: A Tailored Caching Layer for Rack Scale Computing. PACT 2020: 467-480 - [c40]Bernhard Egger, Max H. Siegel, Riya Arora, Amir Arsalan Soltani, Ilker Yildirim, Josh Tenenbaum:
Inverse Rendering Best Explains Face Perception Under Extreme Illuminations. CogSci 2020 - [c39]Skylar Sutherland, Bernhard Egger, Josh Tenenbaum:
Learning a Generative Model of Human Faces Through Inverse Rendering. CogSci 2020 - [c38]William A. P. Smith, Alassane Seck, Hannah Dee, Bernard Tiddeman, Joshua B. Tenenbaum, Bernhard Egger:
A Morphable Face Albedo Model. CVPR 2020: 5010-5019 - [c37]Changmin Ahn, Seungyul Lee, Chanseok Kang, Bernhard Egger:
NuPow: Managing Power on NUMA Multiprocessors with Domain-Level Voltage and Frequency Control. GECON 2020: 126-141 - [c36]Changyeon Jo, Hyunik Kim, Bernhard Egger:
Instant Virtual Machine Live Migration. GECON 2020: 155-170 - [c35]Youngsu Cho, Changyeon Jo, Hyunik Kim, Bernhard Egger:
Towards Economical Live Migration in Data Centers. GECON 2020: 173-188 - [i10]William A. P. Smith, Alassane Seck, Hannah Dee, Bernard Tiddeman, Joshua B. Tenenbaum, Bernhard Egger:
A Morphable Face Albedo Model. CoRR abs/2004.02711 (2020) - [i9]Akash Srivastava, Yamini Bansal, Yukun Ding, Cole L. Hurwitz, Kai Xu, Bernhard Egger, Prasanna Sattigeri, Josh Tenenbaum, David D. Cox, Dan Gutfreund:
Improving the Reconstruction of Disentangled Representation Learners via Multi-Stage Modelling. CoRR abs/2010.13187 (2020) - [i8]Skylar Sutherland, Bernhard Egger, Joshua B. Tenenbaum:
Building 3D Morphable Models from a Single Scan. CoRR abs/2011.12440 (2020)
2010 – 2019
- 2019
- [j14]Barend Harris, Inpyo Bae, Bernhard Egger:
Architectures and algorithms for on-device user customization of CNNs. Integr. 67: 121-133 (2019) - [j13]Bernhard Egger, Eunjin Song, Hochan Lee, Daeyong Shin:
Random test program generation for verification and validation of the Samsung Reconfigurable Processor. J. Syst. Archit. 97: 219-238 (2019) - [c34]Adam Kortylewski, Bernhard Egger, Andreas Schneider, Thomas Gerig, Andreas Morel-Forster, Thomas Vetter:
Analyzing and Reducing the Damage of Dataset Bias to Face Recognition With Synthetic Data. CVPR Workshops 2019: 2261-2268 - [c33]Bernhard Egger, Markus D. Schirmer, Florian Dubost, Marco J. Nardin, Natalia S. Rost, Polina Golland:
Patient-Specific Conditional Joint Models of Shape, Image Features and Clinical Indicators. MICCAI (4) 2019: 93-101 - [i7]Bernhard Egger, Markus D. Schirmer, Florian Dubost, Marco J. Nardin, Natalia S. Rost, Polina Golland:
Patient-specific Conditional Joint Models of Shape, Image Features and Clinical Indicators. CoRR abs/1907.07783 (2019) - [i6]Bernhard Egger, William A. P. Smith, Ayush Tewari, Stefanie Wuhrer, Michael Zollhöfer, Thabo Beeler, Florian Bernard, Timo Bolkart, Adam Kortylewski, Sami Romdhani, Christian Theobalt, Volker Blanz, Thomas Vetter:
3D Morphable Face Models - Past, Present and Future. CoRR abs/1909.01815 (2019) - [i5]Bernhard Egger, William A. P. Smith, Christian Theobalt, Thomas Vetter:
3D Morphable Models (Dagstuhl Seminar 19102). Dagstuhl Reports 9(3): 16-38 (2019) - 2018
- [j12]Ehsan Ataie, Reza Entezari-Maleki, Sayed Ehsan Etesami, Bernhard Egger, Danilo Ardagna, Ali Movaghar:
Power-aware performance analysis of self-adaptive resource management in IaaS clouds. Future Gener. Comput. Syst. 86: 134-144 (2018) - [j11]Bernhard Egger, Sandro Schönborn, Andreas Schneider, Adam Kortylewski, Andreas Morel-Forster, Clemens Blumer, Thomas Vetter:
Occlusion-Aware 3D Morphable Models and an Illumination Prior for Face Image Analysis. Int. J. Comput. Vis. 126(12): 1269-1287 (2018) - [j10]Hochan Lee, Mansureh S. Moghaddam, Dongkwan Suh, Bernhard Egger:
Improving Energy Efficiency of Coarse-Grain Reconfigurable Arrays Through Modulo Schedule Compression/Decompression. ACM Trans. Archit. Code Optim. 15(1): 1:1-1:26 (2018) - [j9]Inpyo Bae, Barend Harris, Hyemi Min, Bernhard Egger:
Auto-Tuning CNNs for Coarse-Grained Reconfigurable Array-Based Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(11): 2301-2310 (2018) - [c32]Younghyun Cho, Camilo A. Celis Guzman, Bernhard Egger:
Maximizing system utilization via parallelism management for co-located parallel applications. PACT 2018: 14:1-14:14 - [c31]Younghyun Cho, Florian Negele, Seohong Park, Bernhard Egger, Thomas R. Gross:
On-the-fly workload partitioning for integrated CPU/GPU architectures. PACT 2018: 21:1-21:13 - [c30]Barend Harris, Mansureh S. Moghaddam, Duseok Kang, Inpyo Bae, Euiseok Kim, Hyemi Min, Hansu Cho, Sukjin Kim, Bernhard Egger, Soonhoi Ha, Kiyoung Choi:
Architectures and algorithms for user customization of CNNs. ASP-DAC 2018: 540-547 - [c29]Adam Kortylewski, Bernhard Egger, Andreas Schneider, Thomas Gerig, Andreas Morel-Forster, Thomas Vetter:
Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems. CVPR Workshops 2018: 2093-2102 - [c28]Thomas Gerig, Andreas Morel-Forster, Clemens Blumer, Bernhard Egger, Marcel Lüthi, Sandro Schönborn, Thomas Vetter:
Morphable Face Models - An Open Framework. FG 2018: 75-82 - [c27]Andreas Schneider, Bernhard Egger, Thomas Vetter:
A Parametric Freckle Model for Faces. FG 2018: 431-435 - [c26]Duseok Kang, Euiseok Kim, Inpyo Bae, Bernhard Egger, Soonhoi Ha:
C-GOOD: C-code generation framework for optimized on-device deep learning. ICCAD 2018: 105 - [c25]Bernhard Egger, Eunjin Song, Hochan Lee, Daeyoung Shin:
Verification of coarse-grained reconfigurable arrays through random test programs. LCTES 2018: 76-88 - [e1]Martin Reuter, Christian Wachinger, Hervé Lombaert, Beatriz Paniagua, Marcel Lüthi, Bernhard Egger:
Shape in Medical Imaging - International Workshop, ShapeMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings. Lecture Notes in Computer Science 11167, Springer 2018, ISBN 978-3-030-04746-7 [contents] - [i4]Adam Kortylewski, Andreas Schneider, Thomas Gerig, Bernhard Egger, Andreas Morel-Forster, Thomas Vetter:
Training Deep Face Recognition Systems with Synthetic Data. CoRR abs/1802.05891 (2018) - [i3]Adam Kortylewski, Andreas Schneider, Thomas Gerig, Clemens Blumer, Bernhard Egger, Corius Reyneke, Andreas Morel-Forster, Thomas Vetter:
Priming Deep Neural Networks with Synthetic Faces for Enhanced Performance. CoRR abs/1811.08565 (2018) - 2017
- [j8]Sandro Schönborn, Bernhard Egger, Andreas Forster, Thomas Vetter:
Markov Chain Monte Carlo for Automated Face Image Analysis. Int. J. Comput. Vis. 123(2): 160-183 (2017) - [c24]Younghyun Cho, Camilo A. Celis Guzman, Bernhard Egger:
POSTER: Improving NUMA System Efficiency with a Utilization-Based Co-scheduling. PACT 2017: 150-151 - [c23]Changmin Ahn, Camilo A. Celis Guzman, Bernhard Egger:
POSTER: NUMA-Aware Power Management for Chip Multiprocessors. PACT 2017: 160-161 - [c22]Mansureh S. Moghaddam, Barend Harris, Duseok Kang, Inpyo Bae, Euiseok Kim, Hyemi Min, Hansu Cho, Sukjin Kim, Bernhard Egger, Soonhoi Ha, Kiyoung Choi:
Incremental training of CNNs for user customization: work-in-progress. CASES 2017: 9:1-9:2 - [c21]Bernhard Egger, Hochan Lee, Duseok Kang, Mansureh S. Moghaddam, Youngchul Cho, Yeonbok Lee, Sukjin Kim, Soonhoi Ha, Kiyoung Choi:
A space- and energy-efficient code Compression/Decompression technique for coarse-grained reconfigurable architectures. CGO 2017: 197-209 - [c20]Changyeon Jo, Youngsu Cho, Bernhard Egger:
A machine learning approach to live migration modeling. SoCC 2017: 351-364 - [c19]Andreas Schneider, Sandro Schönborn, Bernhard Egger, Lavrenti Frobeen, Thomas Vetter:
Efficient Global Illumination for Morphable Models. ICCV 2017: 3885-3893 - [i2]Thomas Gerig, Andreas Forster, Clemens Blumer, Bernhard Egger, Marcel Lüthi, Sandro Schönborn, Thomas Vetter:
Morphable Face Models - An Open Framework. CoRR abs/1709.08398 (2017) - [i1]Adam Kortylewski, Bernhard Egger, Andreas Schneider, Thomas Gerig, Andreas Morel-Forster, Thomas Vetter:
Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems. CoRR abs/1712.01619 (2017) - 2016
- [j7]Bernhard Egger, Younghyun Cho, Changyeon Jo, Eunbyung Park, Jaejin Lee:
Efficient Checkpointing of Live Virtual Machines. IEEE Trans. Computers 65(10): 3041-3054 (2016) - [c18]Younghyun Cho, Surim Oh, Bernhard Egger:
Online Scalability Characterization of Data-Parallel Programs on Many Cores. PACT 2016: 191-205 - [c17]Bernhard Egger, Andreas Schneider, Clemens Blumer, Andreas Forster, Sandro Schönborn, Thomas Vetter:
Occlusion-aware 3D Morphable Face Models. BMVC 2016 - [c16]Bernhard Egger, Dinu Kaufmann, Sandro Schönborn, Volker Roth, Thomas Vetter:
Copula Eigenfaces - Semiparametric Principal Component Analysis for Facial Appearance Modeling. VISIGRAPP (1: GRAPP) 2016: 50-58 - [c15]Bernhard Egger, Dinu Kaufmann, Sandro Schönborn, Volker Roth, Thomas Vetter:
Copula Eigenfaces with Attributes: Semiparametric Principal Component Analysis for a Combined Color, Shape and Attribute Model. VISIGRAPP (Revised Selected Papers) 2016: 95-112 - [c14]Younghyun Cho, Surim Oh, Bernhard Egger:
Adaptive Space-Shared Scheduling for Shared-Memory Parallel Programs. JSSPP 2016: 158-177 - 2015
- [j6]Sandro Schönborn, Bernhard Egger, Andreas Forster, Thomas Vetter:
Background modeling for generative image models. Comput. Vis. Image Underst. 136: 117-127 (2015) - [j5]Bernhard Egger, Erik Gustafsson, Changyeon Jo, Jeongseok Son:
Efficiently Restoring Virtual Machines. Int. J. Parallel Program. 43(3): 421-439 (2015) - [j4]Thanh Tuan Dao, Jungwon Kim, Sangmin Seo, Bernhard Egger, Jaejin Lee:
A Performance Model for GPUs with Caches. IEEE Trans. Parallel Distributed Syst. 26(7): 1800-1813 (2015) - [c13]Florian Negele, Felix Friedrich, Suwon Oh, Bernhard Egger:
On the Design and Implementation of an Efficient Lock-Free Scheduler. JSSPP 2015: 22-45 - [c12]Chanseok Kang, Seungyul Lee, Yong-Jun Lee, Jaejin Lee, Bernhard Egger:
Scheduling for Better Energy Efficiency on Many-Core Chips. JSSPP 2015: 46-68 - 2014
- [c11]Bernhard Egger, Sandro Schönborn, Andreas Forster, Thomas Vetter:
Pose Normalization for Eye Gaze Estimation and Facial Attribute Description from Still Images. GCPR 2014: 317-327 - 2013
- [c10]Changyeon Jo, Bernhard Egger:
Optimizing Live Migration for Virtual Desktop Clouds. CloudCom (1) 2013: 104-111 - [c9]Sandro Schönborn, Andreas Forster, Bernhard Egger, Thomas Vetter:
A Monte Carlo Strategy to Integrate Detection and Model-Based Face Analysis. GCPR 2013: 101-110 - [c8]Changyeon Jo, Erik Gustafsson, Jeongseok Son, Bernhard Egger:
Efficient live migration of virtual machines using shared storage. VEE 2013: 41-50 - 2012
- [j3]Choonki Jang, Jaejin Lee, Bernhard Egger, Soojung Ryu:
Automatic code overlay generation and partially redundant code fetch elimination. ACM Trans. Archit. Code Optim. 9(2): 10:1-10:32 (2012) - 2011
- [c7]Eunbyung Park, Bernhard Egger, Jaejin Lee:
Fast and space-efficient virtual machine checkpointing. VEE 2011: 75-86 - 2010
- [j2]Bernhard Egger, Seungkyun Kim, Choonki Jang, Jaejin Lee, Sang Lyul Min, Heonshik Shin:
Scratchpad Memory Management Techniques for Code in Embedded Systems without an MMU. IEEE Trans. Computers 59(8): 1047-1062 (2010)
2000 – 2009
- 2009
- [c6]