ICG/Research/Team Bischof

Team Lead

Research Topics/Groups

Learning, Recognition & Surveillance

Learning, Recognition, and Surveillance (LRS) is a work-group focusing on research in machine learning and object recognition, detection & tracking with a major application domain of visual surveillance.

Medical Imaging & Biometrics

Medical Imaging & Biometrics is a work-group doing research in computer vision, image analysis and machine learning algorithms with the focus on two distinct application areas. First, clinical and forensic medical applications using localization, registration and segmentation methods, and second biometrics related applications like facial image processing and fingerprint analysis.

Robot Vision

The Robot Vision Group performs topic-specific research inside the Institute for Computer Graphics and Vision. Headed by Matthias Rüther, the group consists of several Ph.D. and diploma students. Within the fruitful research environment of ICG, we conduct application-driven projects in Optical Metrology, Photogrammetry, Mobile Robotics and Industrial Robotics. Fruitful cooperation with more than 50 company partners allow us to deliver cutting-edge research results, always with a mindset on practical applicability.   

News

Nov 2017

We have finished among the Top 10 of the Pediatric Bone Age Estimation Challenge 2017 (around 40 contestants), organized by the Radiological Society of North America (RSNA)! (Link to Results page)

Oct 2017

We got one high rank journal paper accepted in Medical Image Analysis: Urschler M, Ebner T, Stern D. Integrating geometric configuration and appearance information into a unified framework for anatomical landmark localization!

Sep 2017

We have won the MICCAI Multi-Modality Whole Heart Segmentation (MM-WHS) Challenge 2017 in Quebec City, Canada, and besides the NVIDIA Titan graphics card we also received the Best Paper Award for our publication Payer C, Stern D, Bischof H, Urschler M: Multi-Label Whole Heart Segmentation Using CNNs and Anatomical Label Configuration!

July 2017

We got one paper accepted for oral presentation at ICCV in Venice - congratulations to Opitz et al. (BIER - Boosting Independent Ensembles Robustly)!

May 2017

Congratulations to Neff T, Payer C, Stern D, Urschler M for winning the Best Paper Award at the OAGM/AAPR Workshop 2017! (Generative Adversarial Network based Synthesis for Supervised Medical Image Segmentation)

August 2016

We got one paper accepted at ACCV in Taipei! Congratulations to Opitz et al. (Efficient Model Averaging for Deep Neural Networks).

July 2016

We got one paper accepted at ECCV in Amsterdam! Congratulations to Opitz et al. (Grid Loss: Detecting Occluded Faces).

October 2015

Congratulations to Poier et al. for winning the Best Paper Award at Digital Heritage (DH'15)!

September 2015

We got one paper accepted at ICCV in Santiago de Chile! Congratulations to Riegler et al.

Contact Us
image/svg+xml

Institut für Maschinelles Sehen und Darstellen
8010 Graz

Phone
+43 (316) 873 - 5014, 6020