Peter Roth

Research output

Research output per year 2005 2009 2010 2011 2012 2013 2017 2019 2023

• 99 Conference paper
• 9 Article
• 7 Chapter
• 6 Anthology
• 12 More
  • 4 Preprint
  • 3 Patent
  • 1 Other report
  • 1 (Old data) Lecture or Presentation
  • 1 Paper
  • 1 Editorial
  • 1 Doctoral Thesis

Research output per year

Research output per year

Search results

• 2023

  Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations

  Pepe, A., Egger, J., Codari, M., Willemink, M. J., Gsaxner, C., Li, J., Roth, P. M., Schmalstieg, D., Mistelbauer, G. & Fleischmann, D., Oct 2023, In: Computers in Biology and Medicine. 165, 107365.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Neural Network 100%
  • Angiography 100%
  • Aneurysm 100%
  • Thrombus 100%
  • Awareness 100%
• 2022

  OccAM's Laser: Occlusion-Based Attribution Maps for 3D Object Detectors on LiDAR Data

  Schinagl, D., Krispel, G., Possegger, H., Roth, P. M. & Bischof, H., 2022, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. p. 1131-1140 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  • Point Cloud 100%
  • 3D Object Detection 100%
  • Object Detector 100%
  • Density Point 100%
  • Black Box 100%
• 2021

  A geometric perspective on information plane analysis

  Basirat, M., Geiger, B. C. & Roth, P. M., Jun 2021, In: Entropy. 23, 6, 711.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Mutual Information 100%
  • Hidden Layer 100%
  • Plane Information 100%
  • Neural Network 100%
  • Geometric Interpretation 66%

• Neural Cameras: Learning Camera Characteristics for Coherent Mixed Reality Rendering

  Mandl, D., Roth, P. M., Langlotz, T., Ebner, C., Mori, S., Zollmann, S., Mohr, P. & Kalkofen, D., 8 Oct 2021, 2021 IEEE International Symposium on Mixed and Augmented Reality (ISMAR). IEEE Publications, p. 508-516 9 p. 9583801

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• Performing arithmetic using a neural network trained on images of digit permutation pairs

  Bloice, M. D., Roth, P. M. & Holzinger, A., Dec 2021, In: Journal of Intelligent Information Systems. 57, 3, p. 547-562 16 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Trained Neural Network 100%
  • Neural Network 100%
  • Direct Mapping 50%

• S*ReLU: Learning Piecewise Linear Activation Functions via Particle Swarm Optimization

  Basirat, M. & Roth, P. M., 2021, VISAPP. Farinella, G. M., Radeva, P., Braz, J. & Bouatouch, K. (eds.). p. 645-652 8 p. (VISIGRAPP 2021 - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications; vol. 5).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Particle Swarm Optimization 100%
  • piecewise linear 100%
  • Activation Function 100%
  • Image Classification 33%
  • Automatic Approach 33%
• 2020

  ALCN: Adaptive Local Contrast Normalization

  Rad, M., Roth, P. M. & Lepetit, V., May 2020, In: Computer Vision and Image Understanding. 194, 11 p., 102947.

  Research output: Contribution to journal › Article › peer-review

  • face recognition algorithm 100%

• Geometric Correspondence Fields: Learned Differentiable Rendering for 3D Pose Refinement in the Wild

  Grabner, A., Wang, Y., Zhang, P., Guo, P., Xiao, T., Vajda, P., Roth, P. M. & Lepetit, V., 2020, Computer Vision – ECCV 2020. Cham: Springer, p. 102-119 14 p. (Lecture Notes in Computer Science; vol. 12361).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • RGB Image 100%
  • Rendering Pipeline 50%
  • Feature Space 50%

• L*ReLU: Piece-wise linear activation functions for deep fine-grained visual categorization

  Basirat, M. & Roth, P. M., 1 Mar 2020, Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020. p. 1207-1216 10 p. 9093485. (Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• Model retrieval for objects in images using field descriptors

  Grabner, A., Roth, P. M. & Lepetit, V., 10 Dec 2020

  Research output: Patent

• Proceedings of the Joint Austrian Computer Vision and Robotics Workshop

  Roth, P. M. (ed.), Steinbauer, G. (ed.), Fraundorfer, F. (ed.), Brandstötter, M. (ed.) & Perko, R. (ed.), 27 Jul 2020, Graz: Verlag der Technischen Universität Graz.

  Research output: Book/Report › Anthology

  Open Access

• Smart hypothesis generation for efficient and robust room layout estimation

  Hirzer, M., Roth, P. M. & Lepetit, V., 1 Mar 2020, Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020. p. 2901-2909 9 p. 9093451. (Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
• 2019

  Biomedical image augmentation using Augmentor

  Bloice, M. D., Roth, P. M. & Holzinger, A., 2019, In: Bioinformatics. 35, 21, p. 4522-4524

  Research output: Contribution to journal › Article › peer-review

  • Deep Learning Method 100%
  • Computervision 100%
  • Deep Neural Network 100%
  • Computer Vision 100%
  • Biomedical Imaging 100%

• Brain-inspired intelligent systems for daily assistance

  Angelopoulou, A., Garcia-Rodriguez, J., Kapetanios, E., Roth, P. M. & Revett, K., 1 Jan 2019, In: Computational intelligence and neuroscience. 2019, 7597839.

  Research output: Contribution to journal › Editorial › peer-review

  Open Access

• Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data

  Gsaxner, C., Roth, P. M., Wallner, J. & Egger, J., 2019, In: PLoS ONE. 14, 3, e0212550.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Polyethylene Terephthalate 100%
  • Deep Learning Method 100%
  • Deep Neural Network 100%
  • Positron Emission Tomography 100%
  • Tomography 100%

• 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 proceeding › Conference paper › peer-review

  • Refines 100%
  • Estimation Approach 100%
  • RGB 100%
  • Deep Learning Method 100%
  • Pose Estimation 100%

• L* ReLU: Piece-wise Linear Activation Functions for Deep Fine-grained Visual Categorization

  Basirat, M. & Roth, P. M., 2019, (arXiv.org e-Print archive).

  Research output: Working paper › Preprint

  • Classification 100%
  • Activation Function 100%
  • Classification Accuracy 20%
  • Architectural Decision 20%
  • Deep Neural Network 20%

• 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 proceeding › Conference paper › peer-review

  Open Access

  • Image Analysis 100%
  • Annotation 100%
  • Deep Learning Method 100%
  • Positron Emission Tomography-Computed Tomography 100%
  • Network Learning 100%

• 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 proceeding › Conference paper › peer-review

  Open Access

  • Neural Network 100%
  • Deep Neural Network 100%
  • Genetic Operator 20%

• 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 proceeding › Conference paper › peer-review

  • Embedding Space 100%
  • Appearance Variation 100%

• Mapping with Pléiades—End-to-End Workflow

  Perko, R., Raggam, J. & Roth, P. M., 1 Sept 2019, In: Remote Sensing . 11, 17, 52 p., 2052.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• 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. Yokohama, Japan, p. 3629-3632

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Remote Sensing 100%
  • Satellite Image 100%
  • Multiple View 100%
  • Surface Model 66%
  • Computer Vision 50%

• Patch augmentation: Towards efficient decision boundaries for neural networks

  Bloice, M. D., Roth, P. M. & Holzinger, A., 8 Nov 2019, (arXiv.org e-Print archive).

  Research output: Working paper › Preprint

• Performing Arithmetic Using a Neural Network Trained on Digit Permutation Pairs

  Bloice, M. D., Roth, P. M. & Holzinger, A., 6 Dec 2019, (arXiv.org e-Print archive).

  Research output: Working paper › Preprint

  • handwritten digit 100%
  • Trained Neural Network 100%
  • Neural Network 100%
  • Convolutional Neural Network 50%
  • Trained Network 50%

• PET-Train: Automatic Ground Truth Generation from PET Acquisitions for Urinary Bladder Segmentation in CT Images using Deep Learning

  Gsaxner, C., Pfarrkirchner, B., Lindner, L., Pepe, A., Roth, P. M., Wallner, J. & Egger, J., 2019.

  Research output: Contribution to conference › Paper › peer-review

  • Emissions 100%
  • Tomography 100%
  • Positron 100%
  • positron emission tomographic scan 100%
  • Bladder 100%

• Pose determination with semantic segmentation

  Hirzer, M., Roth, P. M., Arth, C. & Lepetit, V., 2019

  Research output: Patent

  • segmented image 100%

• Pose estimation and model retrieval for objects in images

  Grabner, A., Roth, P. M. & Lepetit, V., 2019

  Research output: Patent

  • Pose Estimation 100%
  • Three-Dimensional Models 100%
  • Information Retrieval 100%
  • Input Image 75%

• Proceedings of the ARW & OAGM Workshop 2019

  Pichler, A. (ed.), Roth, P. M., Sablatnig, R. (ed.), Stübl, G. (ed.) & Vincze, M. (ed.), 1 May 2019, Verlag der Technischen Universität Graz. 228 p.

  Research output: Book/Report › Anthology › peer-review

  Open Access

• Proceedings of the Computer Vision Winter Workshop 2019

  Roth, P. M. (ed.), Fraundorfer, F. (ed.) & Schenk, F. (ed.), 1 Feb 2019, Verlag der Technischen Universität Graz. 77 p.

  Research output: Book/Report › Anthology › peer-review

  Open Access

• Smart Hypothesis Generation for Efficient and Robust Room Layout Estimation

  Hirzer, M., Roth, P. M. & Lepetit, V., 2019, (arXiv.org e-Print archive).

  Research output: Working paper › Preprint

  • Estimation Point 100%
  • Spatial Layout 100%

• Using Multiple Along an Across Track Pleiades Stereo Images for Improved Digital Surface Model Generation

  Perko, R., Hirschmugl, M., Deutscher, J., Schardt, M., Hollaus, M. & Roth, P. M., 2019, Proceedings of EARSEL Symposium. Salzburg, Austria, p. 134-135

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
• 2018

  3D Pose Estimation and 3D Model Retrieval for Objects in the Wild

  Grabner, A., Roth, P. M. & Lepetit, V., 2018, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  File

  • Model Retrieval 100%

• Efficient 3D Pose Estimation and 3D Model Retrieval

  Grabner, A., Roth, P. M. & Lepetit, V., 2018, Proceedings of the 42nd OAGM Workshop. Welk, M., Urschler, M. & Roth, P. M. (eds.). Verlag der Technischen Universität Graz, 1 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  File

  • Pose Estimation 100%
  • Model Retrieval 100%
  • Object Pose 50%

• Proceedings of the OAGM Workshop 2018: Medical Image Analysis

  Welk, M., Roth, P. M. & Urschler, M., May 2018, Graz: Verlag der Technischen Universität Graz. 130 p.

  Research output: Book/Report › Anthology › peer-review

  Open Access

• Very High Resolution Mapping with the Pleiades Satellite Constellation

  Perko, R., Raggam, H., Schardt, M. & Roth, P. M., Dec 2018, In: American Journal of Remote Sensing. 6, 2, p. 89-99 11 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Digital Terrain Model 100%
  • Satellite Constellation 100%
  • Computer Vision 100%
  • Stereo Matching 100%
  • Model Generation 100%
• 2017

  3D Localization in Urban Environments from Single Images

  Armagan, A., Hirzer, M., Roth, P. M. & Lepetit, V., 2017, Proceedings of the OAGM/AAPR & ARW Joint Workshop (OAGM/AAPR & ARW).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Image Segmentation 100%
  • Urban Environment 100%
  • Training Data 100%
  • Limitations 100%
  • Global Positioning System 100%

• Accurate Camera Registration in Urban Environments Using High-Level Feature Matching

  Armagan, A., Hirzer, M., Roth, P. M. & Lepetit, V., 2017, Proceedings of the British Machine Vision Conference (BMVC).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Segmentation Technique 100%
  • Geometric Approach 100%

• ALCN: Adaptive Local Contrast Normalization for Robust Object Detection and 3D Pose Estimation

  Rad, M., Roth, P. M. & Lepetit, V., 2017, British Machine Vision Conference.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Local Contrast 100%

• Efficient 3D Tracking in Urban Environments with Semantic Segmentation

  Hirzer, M., Arth, C., Roth, P. M. & Lepetit, V., 2017, Proceedings of the British Machine Vision Conference (BMVC).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Challenging Scenario 100%

• Learning Lightprobes for Mixed Reality Illumination

  Mandl, D., Yi, K. M., Mohr-Ziak, P., Roth, P. M., Fua, P., Lepetit, V., Schmalstieg, D. & Kalkofen, D., 9 Oct 2017, Proceedings of the 2017 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2017. Institute of Electrical and Electronics Engineers, p. 82 - 89 8 p. 8115407

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  • Convolutional Neural Network 100%
  • Mixed Reality 100%
  • Neural Network 25%
  • Optimal Performance 25%

• Learning to Align Semantic Segmentation and 2.5D Maps for Geolocalization

  Armagan, A., Hirzer, M., Roth, P. M. & Lepetit, V., 2017, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Reference Image 100%
  • Global Positioning System 100%

• Loss-Specific Training of Random Forests for Super-Resolution

  Grabner, A., Poier, G., Opitz, M., Schulter, S. & Roth, P. M., 2017, Proceedings of the 22nd Computer Vision Winter Workshop. Kropatsch, W. G., Janusch, I. & Artner, N. M. (eds.). TU Wien, Pattern Recongition and Image Processing Group, 9 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  File

  • State of the Art 100%
  • Upscaling 100%
  • Training Objective 20%

• Machine Learning and Knowledge Extraction in Digital Pathology needs an integrative approach

  Holzinger, A., Malle, B., Kieseberg, P., Müller, H., Reihs, R. & Zatloukal, K., 2017, Towards Integrative Machine Learning and Knowledge Extraction: BIRS Workshop, Banff, AB, Canada, July 24-26, 2015, Revised Selected Papers. Holzinger, A., Goebel, R., Ferri, M. & Palade, V. (eds.). Cham: Springer, (Lecture Notes in Computer Science; vol. 10344).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• Proceedings of the OAGM & ARW Joint Workshop 2016: Computer Vision and Robotics

  Niel, K. (ed.), 2017, Graz: Verlag der Technischen Universität Graz.

  Research output: Book/Report › Anthology › peer-review

  Open Access

• Proceedings of the OAGM & ARW Joint Workshop 2017: Vision, Automation and Robotics

  Kubinger, W., Müller, A., Blaschitz, B., Vincze, M. & Štolc, S., 2017, Graz: Verlag der Technischen Universität Graz. 172 p.

  Research output: Book/Report › Anthology › peer-review

  Open Access
• 2015

  Emission Minimizing Adaptive Signal Control: A Multimodal Optimization Approach

  Haberl, M., Cik, M., Fellendorf, M., Luz, R., Roth, P. & Otto, T., 2015, World Congress on Intelligent Transport Systems. ., p. 1-12

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
• 2014

  Accurate Object Detection with Joint Classification-Regression Random Points

  Schulter, S., Leistner, C., Wohlhart, P., Roth, P. & Bischof, H., 2014, (Accepted/In press) Conference on Computer Vision and Pattern Recognition. .

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• Hough Forests Revisited: An Approach to Multiple Instance Tracking from Multiple Cameras

  Poier, G., Schulter, S., Sternig, S., Roth, P. & Bischof, H., 2014, DAGM Symposium Mustererkennung. ., p. 499-510

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• Mahalanobis Distance Learning for Person Re-Identification

  Roth, P., Hirzer, M., Köstinger, M., Beleznai, C. & Bischof, H., 2014, Person Re-Identification. 1 ed. London: Springer, p. 247-267 (Advances in Computer Vision and Pattern Recognition).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Mahalanobis Distance 100%
  • Distance Learning 100%
  • Linear Discriminant 33%
  • Information-Theoretic Learning 33%
  • Based Metric Learning 33%

• Occlusion Geodesics for Online Multi-object Tracking

  Possegger, H., Mauthner, T., Roth, P. & Bischof, H., 2014, Conference on Computer Vision and Pattern Recognition. ., p. 1306-1313

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review