Bernhard Egger

Orcid: 0000-0002-6645-6161

According to our database1, Bernhard Egger authored at least 115 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Survey and systematization of 3D object detection models and methods.
Vis. Comput., March, 2024

Building 3D Generative Models from Minimal Data.
Int. J. Comput. Vis., February, 2024

Exploring Multi-modal Neural Scene Representations With Applications on Thermal Imaging.
CoRR, 2024

exploreCOSMOS: Interactive Exploration of Conditional Statistical Shape Models in the Web-Browser.
CoRR, 2024

Approximating Intersections and Differences Between Linear Statistical Shape Models Using Markov Chain Monte Carlo.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

GBOT: Graph-Based 3D Object Tracking for Augmented Reality-Assisted Assembly Guidance.
Proceedings of the IEEE Conference Virtual Reality and 3D User Interfaces, 2024

AbSynth: Using Abstract Image Synthesis for Synthetic Training.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Interactive Exploration of Conditional Statistical Shape Models in the Web-browser - exploreCOSMOS.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Swarmchestrate: Towards a Fully Decentralised Framework for Orchestrating Applications in the Cloud-to-Edge Continuum.
Proceedings of the Advanced Information Networking and Applications, 2024

2023
BOSS: Bones, organs and skin shape model.
Comput. Biol. Medicine, October, 2023

State of the Art in Dense Monocular Non-Rigid 3D Reconstruction.
Comput. Graph. Forum, May, 2023

Learning the shape of female breasts: an open-access 3D statistical shape model of the female breast built from 110 breast scans.
Vis. Comput., April, 2023

Cost-Aware Resource Recommendation for DAG-Based Big Data Workflows: An Apache Spark Case Study.
IEEE Trans. Serv. Comput., 2023

Fixed-Point Iteration Approach to Spark Scalable Performance Modeling and Evaluation.
IEEE Trans. Cloud Comput., 2023

RANRAC: Robust Neural Scene Representations via Random Ray Consensus.
CoRR, 2023

ReWaRD: Retinal Waves for Pre-Training Artificial Neural Networks Mimicking Real Prenatal Development.
CoRR, 2023

The Sky's the Limit: Re-lightable Outdoor Scenes via a Sky-pixel Constrained Illumination Prior and Outside-In Visibility.
CoRR, 2023

RENI++ A Rotation-Equivariant, Scale-Invariant, Natural Illumination Prior.
CoRR, 2023

From Zero to Hero: Convincing with Extremely Complicated Math.
CoRR, 2023

ShaRPy: Shape Reconstruction and Hand Pose Estimation from RGB-D with Uncertainty.
CoRR, 2023

NeRFtrinsic Four: An End-To-End Trainable NeRF Jointly Optimizing Diverse Intrinsic and Extrinsic Camera Parameters.
CoRR, 2023

Software Compliance Requirements, Factors, and Policies: A Systematic Literature Review.
Comput. Secur., 2023

HOOREX: Higher Order Optimizers for 3D Recovery from X-Ray Images.
Proceedings of the Machine Learning for Multimodal Healthcare Data, 2023


PoseBias: On Dataset Bias and Task Difficulty - Is there an Optimal Camera Position for Facial Image Analysis?
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ShaRPy: Shape Reconstruction and Hand Pose Estimation from RGB-D with Uncertainty.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PLIKS: A Pseudo-Linear Inverse Kinematic Solver for 3D Human Body Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Robust Model-based Face Reconstruction through Weakly-Supervised Outlier Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Flexer: Out-of-Order Scheduling for Multi-NPUs.
Proceedings of the 21st ACM/IEEE International Symposium on Code Generation and Optimization, 2023

Exploring the Capabilities of a Language Model-Only Approach for Depression Detection in Text Data.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023

Improving Throughput-oriented Generative Inference with CPUs.
Proceedings of the 14th ACM SIGOPS Asia-Pacific Workshop on Systems, 2023

2022
Modeling and evaluation of dispatching policies in IaaS cloud data centers using SANs.
Sustain. Comput. Informatics Syst., 2022

3D Morphable Models and Beyond (Dagstuhl Seminar 22121).
Dagstuhl Reports, 2022

Approximating Intersections and Differences Between Statistical Shape Models.
CoRR, 2022

Dopia: online parallelism management for integrated CPU/GPU architectures.
Proceedings of the PPoPP '22: 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Seoul, Republic of Korea, April 2, 2022

Rotation-Equivariant Conditional Spherical Neural Fields for Learning a Natural Illumination Prior.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Selective Data Migration Between Locality Groups in NUMA Systems.
Proceedings of the Economics of Grids, Clouds, Systems, and Services, 2022

A Black-Box Graph Partitioner for Generalized Deep Neural Network Parallelization.
Proceedings of the Economics of Grids, Clouds, Systems, and Services, 2022

A Game-Theoretic Approach for Pricing and Determining Quality Levels of Cybersecurity Products Under an Exogenous Information-Sharing Program.
Proceedings of the Economics of Grids, Clouds, Systems, and Services, 2022

A Game-Theoretic Approach for Pricing and Determining Virtual Reality Investment and Cybersecurity Level in a Dual-Channel Supply Chain.
Proceedings of the Economics of Grids, Clouds, Systems, and Services, 2022

A Lightweight Machine Learning Pipeline for LiDAR-simulation.
Proceedings of the 3rd International Conference on Deep Learning Theory and Applications, 2022

MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Beyond Flatland: Pre-training with a Strong 3D Inductive Bias.
CoRR, 2021

To fit or not to fit: Model-based Face Reconstruction and Occlusion Segmentation from Weak Supervision.
CoRR, 2021

Modeling Cache and Application Performance on Modern Shared Memory Multiprocessors.
Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

Building 3D Morphable Models from a Single Scan.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

AI-Based Container Orchestration for Federated Cloud Environments.
Proceedings of the FRAME@HPDC 2021: Proceedings of the 1st Workshop on Flexible Resource and Application Management on the Edge, 2021

Can VM Live Migration Improve Job Throughput? Evidence from a Real World Cluster Trace.
Proceedings of the Economics of Grids, Clouds, Systems, and Services, 2021

RapidSwap: a Hierarchical Far Memory.
Proceedings of the Economics of Grids, Clouds, Systems, and Services, 2021

Architecture for Orchestrating Containers in Cloud Federations.
Proceedings of the Economics of Grids, Clouds, Systems, and Services, 2021

Identity-Expression Ambiguity in 3D Morphable Face Models.
Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

Fast generation of optimized execution plans for parameterizable CNN accelerators: work-in-progress.
Proceedings of the CASES '21: Proceedings of the 2021 International Conference on Compilers, Architectures, and Synthesis for Embedded Systems, Virtual Event, October 8, 2021

Deep Learning Compatible Differentiable X-ray Projections for Inverse Rendering.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2020
Performance Modeling of Parallel Loops on Multi-Socket Platforms Using Queueing Systems.
IEEE Trans. Parallel Distributed Syst., 2020

3D Morphable Face Models - Past, Present, and Future.
ACM Trans. Graph., 2020

Evaluation of memory performance in NUMA architectures using Stochastic Reward Nets.
J. Parallel Distributed Comput., 2020

Improving the Reconstruction of Disentangled Representation Learners via Multi-Stage Modelling.
CoRR, 2020

Instant Virtual Machine Live Migration.
Proceedings of the Economics of Grids, Clouds, Systems, and Services, 2020

Towards Economical Live Migration in Data Centers.
Proceedings of the Economics of Grids, Clouds, Systems, and Services, 2020

NuPow: Managing Power on NUMA Multiprocessors with Domain-Level Voltage and Frequency Control.
Proceedings of the Economics of Grids, Clouds, Systems, and Services, 2020

A Morphable Face Albedo Model.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning a Generative Model of Human Faces Through Inverse Rendering.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Inverse Rendering Best Explains Face Perception Under Extreme Illuminations.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

RackMem: A Tailored Caching Layer for Rack Scale Computing.
Proceedings of the PACT '20: International Conference on Parallel Architectures and Compilation Techniques, 2020

2019
Random test program generation for verification and validation of the Samsung Reconfigurable Processor.
J. Syst. Archit., 2019

Architectures and algorithms for on-device user customization of CNNs.
Integr., 2019

3D Morphable Models (Dagstuhl Seminar 19102).
Dagstuhl Reports, 2019

Patient-Specific Conditional Joint Models of Shape, Image Features and Clinical Indicators.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Analyzing and Reducing the Damage of Dataset Bias to Face Recognition With Synthetic Data.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Auto-Tuning CNNs for Coarse-Grained Reconfigurable Array-Based Accelerators.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018

Improving Energy Efficiency of Coarse-Grain Reconfigurable Arrays Through Modulo Schedule Compression/Decompression.
ACM Trans. Archit. Code Optim., 2018

Occlusion-Aware 3D Morphable Models and an Illumination Prior for Face Image Analysis.
Int. J. Comput. Vis., 2018

Power-aware performance analysis of self-adaptive resource management in IaaS clouds.
Future Gener. Comput. Syst., 2018

Priming Deep Neural Networks with Synthetic Faces for Enhanced Performance.
CoRR, 2018

Training Deep Face Recognition Systems with Synthetic Data.
CoRR, 2018

Verification of coarse-grained reconfigurable arrays through random test programs.
Proceedings of the 19th ACM SIGPLAN/SIGBED International Conference on Languages, 2018

C-GOOD: C-code generation framework for optimized on-device deep learning.
Proceedings of the International Conference on Computer-Aided Design, 2018

A Parametric Freckle Model for Faces.
Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

Morphable Face Models - An Open Framework.
Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Architectures and algorithms for user customization of CNNs.
Proceedings of the 23rd Asia and South Pacific Design Automation Conference, 2018

On-the-fly workload partitioning for integrated CPU/GPU architectures.
Proceedings of the 27th International Conference on Parallel Architectures and Compilation Techniques, 2018

Maximizing system utilization via parallelism management for co-located parallel applications.
Proceedings of the 27th International Conference on Parallel Architectures and Compilation Techniques, 2018

2017
Markov Chain Monte Carlo for Automated Face Image Analysis.
Int. J. Comput. Vis., 2017

Efficient Global Illumination for Morphable Models.
Proceedings of the IEEE International Conference on Computer Vision, 2017

A machine learning approach to live migration modeling.
Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

A space- and energy-efficient code Compression/Decompression technique for coarse-grained reconfigurable architectures.
Proceedings of the 2017 International Symposium on Code Generation and Optimization, 2017

Incremental training of CNNs for user customization: work-in-progress.
Proceedings of the 2017 International Conference on Compilers, 2017

POSTER: Improving NUMA System Efficiency with a Utilization-Based Co-scheduling.
Proceedings of the 26th International Conference on Parallel Architectures and Compilation Techniques, 2017

POSTER: NUMA-Aware Power Management for Chip Multiprocessors.
Proceedings of the 26th International Conference on Parallel Architectures and Compilation Techniques, 2017

2016
Efficient Checkpointing of Live Virtual Machines.
IEEE Trans. Computers, 2016

Adaptive Space-Shared Scheduling for Shared-Memory Parallel Programs.
Proceedings of the Job Scheduling Strategies for Parallel Processing, 2016

Copula Eigenfaces with Attributes: Semiparametric Principal Component Analysis for a Combined Color, Shape and Attribute Model.
Proceedings of the Computer Vision, Imaging and Computer Graphics Theory and Applications, 2016

Copula Eigenfaces - Semiparametric Principal Component Analysis for Facial Appearance Modeling.
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016

Occlusion-aware 3D Morphable Face Models.
Proceedings of the British Machine Vision Conference 2016, 2016

Online Scalability Characterization of Data-Parallel Programs on Many Cores.
Proceedings of the 2016 International Conference on Parallel Architectures and Compilation, 2016

2015
A Performance Model for GPUs with Caches.
IEEE Trans. Parallel Distributed Syst., 2015

Efficiently Restoring Virtual Machines.
Int. J. Parallel Program., 2015

Background modeling for generative image models.
Comput. Vis. Image Underst., 2015

On the Design and Implementation of an Efficient Lock-Free Scheduler.
Proceedings of the Job Scheduling Strategies for Parallel Processing, 2015

Scheduling for Better Energy Efficiency on Many-Core Chips.
Proceedings of the Job Scheduling Strategies for Parallel Processing, 2015

2014
Pose Normalization for Eye Gaze Estimation and Facial Attribute Description from Still Images.
Proceedings of the Pattern Recognition - 36th German Conference, 2014

2013
Efficient live migration of virtual machines using shared storage.
Proceedings of the ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments (co-located with ASPLOS 2013), 2013

A Monte Carlo Strategy to Integrate Detection and Model-Based Face Analysis.
Proceedings of the Pattern Recognition - 35th German Conference, 2013

Optimizing Live Migration for Virtual Desktop Clouds.
Proceedings of the IEEE 5th International Conference on Cloud Computing Technology and Science, 2013

2012
Automatic code overlay generation and partially redundant code fetch elimination.
ACM Trans. Archit. Code Optim., 2012

2011
Fast and space-efficient virtual machine checkpointing.
Proceedings of the 7th International Conference on Virtual Execution Environments, 2011

2010
Scratchpad Memory Management Techniques for Code in Embedded Systems without an MMU.
IEEE Trans. Computers, 2010

2009
Recurrence cycle aware modulo scheduling for coarse-grained reconfigurable architectures.
Proceedings of the 2009 ACM SIGPLAN/SIGBED conference on Languages, 2009

2008
Dynamic scratchpad memory management for code in portable systems with an MMU.
ACM Trans. Embed. Comput. Syst., 2008

FaCSim: a fast and cycle-accurate architecture simulator for embedded systems.
Proceedings of the 2008 ACM SIGPLAN/SIGBED Conference on Languages, 2008

Scratchpad memory management in a multitasking environment.
Proceedings of the 8th ACM & IEEE International conference on Embedded software, 2008

2007
Dynamic data scratchpad memory management for a memory subsystem with an MMU.
Proceedings of the 2007 ACM SIGPLAN/SIGBED Conference on Languages, 2007

2006
Scratchpad memory management for portable systems with a memory management unit.
Proceedings of the 6th ACM & IEEE International conference on Embedded software, 2006

A dynamic code placement technique for scratchpad memory using postpass optimization.
Proceedings of the 2006 International Conference on Compilers, 2006


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