Dr. rer. nat. Vasileios Belagiannis (Βασίλειος Μπελαγιάννης)

Google Scholar Profile:

Curriculum Vitae (Last Updated - Nov. 2019)

News

• News and updates are available at https://www.uni-ulm.de.
• My research at Visual Geometry Group (VGG), University of Oxford is available here.

Research Interests

• Computer Vision
  
• Machine Learning
  
• Deep Learning
  

Personal Information

Vasileios Belagiannis is Juniorprofessor at University of Ulm (Faculty of Engineering, Computer Science and Psychology). He holds a degree in engineering (Greece, 2009) from Democritus University of Thrace, Engineering School of Xanthi and M.Sc. in Computational Science and Engineering from TU München (Germany, 2011). He completed his doctoral studies at TU München (2015) under the supervision of Prof. Nassir Navab and Dr. Slobodan Ilic. He was CAMP member and still affiliated with the Chair. He has been post-doctoral research assistant at University of Oxford and member of the Visual Geometry Group (Prof. Andrew Zisserman). Prior to joining University of Ulm, he has spent time in industry, working as senior researcher at OSRAM.

Research Projects (with CAMP)

• Crowdsourcing for Healthcare
  
• Deep Learning for Regression
  
• Deep Learning for Object Tracking
  
• Deformable Object Tracking
  
• Single Human Pose Estimation
  
• Multiple Human Pose Estimation
  
• Humans in the Operating Room
  

Teaching (with CAMP)

• Hauptseminar/Master Seminar: Machine Learning Methods for Computer Vision Applications (Winter Semester 2011/12 - 2012/13 , Summer Semester 2012 - 2013 - 2014)

• Tracking and Detection in Computer Vision, Winter Semester 2013/14 (Winter Semester 2011/12 - 2012/13 - 2013/14)

• 3D Computer Vision (Summer Semester 2012 - 2014)

Publications (with CAMP)

2018
	L. Casas, N. Navab, V. Belagiannis Adversarial Signal Denoising with Encoder-Decoder Networks This works can be found at: https://arxiv.org/abs/1812.08555 (bib)
	V. Belagiannis, A. Farshad, F. Galasso Adversarial Network Compression ECCV 2018 Workshops. ECCV 2018. Lecture Notes in Computer Science, vol 11132. Springer, Cham (bib)
2016
	I. Laina, C. Rupprecht, V. Belagiannis, F. Tombari, N. Navab Deeper Depth Prediction with Fully Convolutional Residual Networks International Conference on 3DVision (3DV), Stanford University, California, USA, October 2016. Oral presentation. The first two authors contribute equally to this paper. (bib)
	V. Belagiannis, S. Amin, M. Andriluka, B. Schiele, N. Navab, S. Ilic 3D Pictorial Structures Revisited: Multiple Human Pose Estimation IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 38 no. 10, pp. 1929-1942, 2016 (bib)
	N. Rieke, D. J. Tan , C. Amat di San Filippo, F. Tombari, M. Alsheakhali, V. Belagiannis, A. Eslami, N. Navab Real-time Localization of Articulated Surgical Instruments in Retinal Microsurgery Medical Image Analysis, vol. 34, 82-100, 2016. The original publication is available online at medicalimageanalysisjournal.com. A free version is available until November 17,2016 (bib)
	F. Achilles, F. Tombari, V. Belagiannis, A.M. Loesch, S. Noachtar, N. Navab Convolutional neural networks for real-time epileptic seizure detection Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Taylor & Francis, 2016 (bib)
	V. Belagiannis, X. Wang, H. Shitrit, K. Hashimoto, R. Stauder, Y. Aoki, M. Kranzfelder, A. Schneider, P. Fua, S. Ilic, H. Feußner, N. Navab Parsing Human Skeletons in an Operating Room Machine Vision and Applications, 2016 (bib)
	S. Albarqouni, C. Baur, F. Achilles, V. Belagiannis, S. Demirci, N. Navab AggNet: Deep Learning from Crowds for Mitosis Detection in Breast Cancer Histology Images IEEE Transactions on Medical Imaging (TMI), Special Issue on Deep Learning, vol. 35, no. 5, pp. 1313 - 1321, 2016. The first two authors contribute equally to this paper. (bib)
2015
	V. Belagiannis, C. Rupprecht, G. Carneiro, N. Navab Robust Optimization for Deep Regression International Conference on Computer Vision (ICCV), Santiago, Chile, December 2015 (supplementary mat.) (bib)
	N. Rieke, D. J. Tan , M. Alsheakhali, F. Tombari, C. Amat di San Filippo, V. Belagiannis, A. Eslami, N. Navab Surgical Tool Tracking and Pose Estimation in Retinal Microsurgery Proceedings of the 18th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Munich, Germany, October 2015 (bib)
	C. Nissler, N. Mouriki, C. Castellini, V. Belagiannis, N. Navab OMG: Introducing Optical Myography as a new Human Machine Interface for Hand Amputees IEEE/RAS-EMBS International Conference on Rehabilitation Robotics (ICORR 2015), Singapore, August 11, 2015 (bib)
	F. Schubert, D. Casaburo, D. Dickmanns, V. Belagiannis Revisiting Robust Visual Tracking Using Pixel-Wise Posteriors 10th International Conference on Computer Vision Systems (ICVS), 6-9 July, 2015, Copenhagen, Denmark (bib)
	C. Baur, F. Milletari, V. Belagiannis, N. Navab, P. Fallavollita Automatic 3D reconstruction of electrophysiology catheters from two-view monoplane C-arm image sequences The 6th International Conference on Information Processing in Computer-Assisted Interventions (IPCAI) (bib)
	M. Yigitsoy, V. Belagiannis, A. Djurka, A. Katouzian, S. Ilic, F. Pernus, A. Eslami, N. Navab Random Ferns for Multiple Target Tracking in Microscopic Retina Image Sequences International Symposium on Biomedical Imaging: From Nano to Macro, New York, USA, April 2015 (bib)
	L. Wang, V. Belagiannis, C. Marr, F. Theis, G. Z. Yang, N. Navab Anatomic-Landmark Detection Using Graphical Context Modelling Proceedings of 2015 IEEE International Symposium on Biomedical Imaging (ISBI): From Nano to Macro, New York, USA, April 2015 (bib)
2014
	F. Milletari, V. Belagiannis, N. Navab, P. Fallavollita Fully automatic catheter localization in C-arm images using l1- Sparse Coding Proceedings of the 17th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Boston, September 2014 (bib)
	V. Belagiannis, X. Wang, B. Schiele, P. Fua, S. Ilic, N. Navab Multiple Human Pose Estimation with Temporally Consistent 3D Pictorial Structures ChaLearn Looking at People Workshop, European Conference on Computer Vision (ECCV), Zurich, Switzerland, September 6-12, 2014. (bib)
	V. Belagiannis, S. Amin, M. Andriluka, B. Schiele, N. Navab, S. Ilic 3D Pictorial Structures for Multiple Human Pose Estimation (Oral Presentation) IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, USA, June 24, 2014 (bib)
	V. Belagiannis, C. Amann, N. Navab, S. Ilic Holistic Human Pose Estimation with Regression Forests AMDO 2014. VIII Conference on Articulated Motion and Deformable Objects. Palma, Mallorca, Spain. 16 – 18 July 2014 (bib)
2012
	V. Belagiannis, F. Schubert, N. Navab, S. Ilic Segmentation Based Particle Filtering for Real-Time 2D Object Tracking 12th European Conference on Computer Vision (ECCV), Firenze, Italy, October 07-13, 2012 (bib)
	R. Stauder, V. Belagiannis, L. Schwarz, A. Bigdelou, E. Soehngen, S. Ilic, N. Navab A User-Centered and Workflow-Aware Unified Display for the Operating Room MICCAI Workshop on Modeling and Monitoring of Computer Assisted Interventions (M2CAI), Nice, France, October 2012 (bib)