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Research Output 1970 2020

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Conference contribution
2019

Evaluation of CNN-based Single-Image Depth Estimation Methods

Koch, T., Liebel, L., Fraundorfer, F. & Körner, M., 2019, Proceedings ECCV 2018 Workshops.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Generalized Feedback Loop for Joint Hand-Object Pose Estimation

Oberweger, M., Wohlhart, P. & Lepetit, V., 2019, IEEE transactions on pattern analysis and machine intelligence.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Feedback
Neural networks
Graphics processing unit

GigaPan Image-Based 3D Reconstruction for Engineering Geological Investigations

Lee, H., Mostegel, C., Fraundorfer, F. & Kieffer, D. S., 2019, IAEG/AEG Annual Meeting Proceedings, San Francisco, California, 2018. Springer International Publishing AG , Vol. 6. p. 207-215

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

GP2C: Geometric Projection Parameter Consensus for Joint 3D Pose and Focal Length Estimation in the Wild

Grabner, A., Roth, P. M. & Lepetit, V., 2019, Proceedings of the IEEE International Conference on Computer Vision. p. 2222-2231

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Deep learning

Guest Editorial Special Issue on Discriminative Learning for Model Optimization and Statistical Inference

Bischof, H., Zuo, W., Peng, X. & Prokhorov, D., 2019, IEEE Transactions on Neural Networks and Learning Systems. p. 2894-2897

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Computer vision
Partial differential equations
Artificial intelligence

Handseg: An automatically labeled dataset for hand segmentation from depth images

Bojja, A. K., Mueller, F., Malireddi, S. R., Oberweger, M., Lepetit, V., Theobalt, C., Yi, K. M. & Tagliasacchi, A., 2019, 2019 16th Conference on Computer and Robot Vision (CRV). p. 151-158

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Sensors
Costs

HiBsteR: Hierarchical Boosted Deep Metric Learning for Image Retrieval

Waltner, G., Opitz, M., Possegger, H. & Bischof, H., 2019, IEEE Winter Conference on Applications of Computer Vision (WACV) .

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Inverse GANs for accelerated MRI reconstruction

Narnhofer, D., Hammernik, K., Knoll, F. & Pock, T., 2019, Wavelets and Sparsity XVIII.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Magnetic resonance
Image reconstruction
Sampling
Probability distributions
Deep learning

Joint Multi-anatomy Training of a Variational Network for Reconstruction of Accelerated Magnetic Resonance Image Acquisitions

Johnson, P. M., Muckley, M. J., Bruno, M., Kobler, E., Hammernik, K., Pock, T. & Knoll, F., 2019, Machine Learning for Medical Image Reconstruction: Second International Workshop, MLMIR 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings. Knoll, F., Maier, A., Rueckert, D. & Ye, J. (eds.). Cham: Springer, p. 71-79 (Lecture Notes in Computer Science; vol. 11905).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Knee
Anatomy
Magnetic Resonance Spectroscopy
Joints
Magnetic Resonance Imaging

Learned Collaborative Stereo Refinement

Knöbelreiter, P. & Pock, T., 2019, German Conference on Pattern Recognition. p. 3-17

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Color
Gradient methods
Statistics

Learning from the Truth: Fully Automatic Ground Truth Generation for Training of Medical Deep Learning Networks

Gsaxner, C., Roth, P. M., Wallner, J. & Egger, J., 2019, Proceedings of the Joint ARW & OAGM Workshop 2019. Pichler, A., Roth, P. M., Slabatnig, R., Stübl, G. & Vincze, M. (eds.). Graz: Verlag der Technischen Universität Graz, p. 173-174

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Open Access
Image analysis
Positron emission tomography
Tomography
Neural networks
Supervised learning

Learning task-specific activation functions using genetic programming

Basirat, M. & Roth, P. M., 2019, Proceedings of the Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. SciTePress, Vol. 5. p. 533-540

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Open Access
Genetic programming
Chemical activation
Mathematical operators

Location Field Descriptors: Single Image 3D Model Retrieval in the Wild

Grabner, A., Roth, P. M. & Lepetit, V., 2019, 2019 International Conference on 3D Vision (3DV). p. 583-593

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

pixel
prediction
method

LU-Net: An Efficient Network for 3D LiDAR Point Cloud Semantic Segmentation Based on End-to-End-Learned 3D Features and U-Net

Biasutti, P., Lepetit, V., Aujol, J-F., Brédif, M. & Bugeau, A., 2019, Proceedings of the IEEE International Conference on Computer Vision Workshops.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Semantics
Sensors
Image processing
Topology
Experiments

Markerless Image-to-Face Registration for Untethered Augmented Reality in Head and Neck Surgery

Gsaxner, C., Pepe, A., Schmalstieg, D., Egger, J. & Wallner, J., 2019, International Conference on Medical Image Computing and Computer-Assisted Intervention. p. 236-244

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Neck
Head
Physicians
Head and Neck Neoplasms
Tomography

Matwo-CapsNet: A Multi-label Semantic Segmentation Capsules Network

Bonheur, S., Stern, D., Payer, C., Pienn, M., Olschewski, H. & Urschler, M., 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019. Cham: Springer, p. 664-672 (Lecture Notes in Computer Science; vol. 11768).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Labels
Semantics
Computer vision
X rays

Multiple View Geometry in Remote Sensing: An Empirical Study based on Pléiades Satellite Images

Perko, R., Schardt, M., Piermattei, L., Auer, S. & Roth, P. M., 2019, Proceedings of the IEEE International Geoscience and Remote Sensing Symposium. p. 3629-3632

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

remote sensing
computer vision
geometry
ground control
photogrammetry

MURAUER: Mapping Unlabeled Real Data for Label AUstERity

Poier, G., Opitz, M., Schinagl, D. & Bischof, H., 2019, IEEE Winter Conference on Applications of Computer Vision.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

On Object Symmetries and 6D Pose Estimation from Images

Pitteri, G., Ramamonjisoa, M., Ilic, S. & Lepetit, V., 2019, 2019 International Conference on 3D Vision (3DV). p. 614-622

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Learning algorithms
Learning systems

On the estimation of the Wasserstein distance in generative models

Pinetz, T., Soukup, D. & Pock, T., 2019, German Conference on Pattern Recognition. p. 156-170

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Cost functions
Probability distributions

Pattern Recognition and Mixed Reality for Computer-Aided Maxillofacial Surgery and Oncological Assessment

Pepe, A., Trotta, G. F., Gsaxner, C., Schmalstieg, D., Wallner, J., Egger, J. & Bevilacqua, V., 2019, BMEiCON 2018 - 11th Biomedical Engineering International Conference. 8609921

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

surgery
pattern recognition
Surgery
Pattern recognition
earphones

RESLAM: A real-time robust edge-based SLAM system

Schenk, F. & Fraundorfer, F., 20 May 2019, Proceedings of the International Conference on Robotics and Automation 2019. 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

File
Cameras
Sensors
Program processors
Robotics
Pipelines

Rotational Alignment of IMU-camera Systems with 1-Point RANSAC

Banglei, G., Su, A., Li, Z. & Fraundorfer, F., 2019, Pattern Recognition and Computer Vision. Lin, Z. (ed.). Cham: Springer, p. 172-183 (Lecture Notes in Computer Science; no. 11859).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Cameras
Detectors

Semi-supervised Detector Training with Prototypes for Vehicle Detection

Waltner, G., Opitz, M., Krispel, G., Possegger, H. & Bischof, H., Jun 2019, (Accepted/In press) 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019. Institute of Electrical and Electronics Engineers, 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Shading atlas streaming demonstration

Müller, J., Neff, T., Voglreiter, P., Mlakar, M., Steinberger, M. & Schmalstieg, D., 2019, ACM SIGGRAPH 2019 Emerging Technologies. Association of Computing Machinery, 22

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Virtual reality
Demonstrations
Servers
Motion Picture Experts Group standards
Image quality

SLIM-A Scalable and Lightweight Indoor-Navigation MAV as Research and Education Platform

Isop, W. A. & Fraundorfer, F., 2019, Robotics and Education: RiE 2019. Cham: Springer, p. 182-195 (Advances in Intelligent Systems and Computing; vol. 1023).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Navigation
Education
Antennas
Computer graphics
Computer vision

Sparse-to-Dense Hypercolumn Matching for Long-Term Visual Localization

Germain, H., Bourmaud, G. & Lepetit, V., 2019, 2019 International Conference on 3D Vision (3DV). p. 513-523

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Cameras

Speed invariant time surface for learning to detect corner points with event-based cameras

Lepetit, V., Manderscheid, J., Sironi, A., Bourdis, N. & Migliore, D., 2019, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. p. 10245-10254

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Cameras
Program processors
Experiments

Time Discrete Geodesics in Deep Feature Spaces for Image Morphing

Effland, A., Kobler, E., Pock, T. & Rumpf, M., 2019, Scale Space and Variational Methods in Computer Vision: SSVM 2019. Lellmann, J., Burger, M. & Modersitzki, J. (eds.). Cham: Springer, p. 171-182 (Lecture Notes in Computer Science; vol. 11603).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Splines
Computer vision
Interpolation
Textures
Semantics

TrackCap: Enabling Smartphones for 3D Interaction on Mobile Head-Mounted Displays

Mohr-Ziak, P., Tatzgern, M., Langlotz, T., Lang, A., Schmalstieg, D. & Kalkofen, D., 2019, Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. 585 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Smartphones
Display devices
Helmet mounted displays
Sensors

Using Synthetic Training Data for Deep Learning-Based GBM Segmentation

Lindner, L., Narnhofer, D., Weber, M., Gsaxner, C., Egger, J. & Kolodziej, M., 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Institute of Electrical and Electronics Engineers, p. 6724-6729 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Medical image processing
Neural networks
Magnetic resonance
Image segmentation
Tumors
2020

FuseSeg: LiDAR Point Cloud Segmentation Fusing Multi-Modal Data

Krispel, G., Opitz, M., Waltner, G., Possegger, H. & Bischof, H., 2020, (Accepted/In press) IEEE Winter Conference on Applications of Computer Vision (WACV).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Towards Data-driven Multi-target Tracking for Autonomous Driving

Fruhwirth-Reisinger, C., Krispel, G., Possegger, H. & Bischof, H., 2020, Computer Vision Winter Workshop (CVWW).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review