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 Image Processing (MIP) is a work-group doing research in computer vision, image analysis and machine learning algorithms with the focus on clinical and forensic medical applications using localization, registration and segmentation methods.
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.
Christian Payer finished his PhD thesis on Integrating Spatial Configuration of Anatomical Structures into Convolutional Neural Networks!
Our MIP group has won the VerSe'20: Large Scale Vertebrae Segmentation Challenge hosted by MICCAI 2020 conference! We were rewarded with a graphics card TITAN RTX sponsored by NVIDIA.
Darko Stern is recognized as an Outstanding Reviewer at MICCAI 2020!
Darko Stern is recognized as an Honorable Mention Reviewer at MIDL 2020!
Our paper Payer et al. (Instance Segmentation and Tracking with Cosine Embeddings and Recurrent Hourglass Networks) was runner up for the MICCAI MedIA Best Paper Award 2019!
Our MIP group has won the VerSe'19: Large Scale Vertebrae Segmentation Challenge hosted by MICCAI 2019 conference! We were rewarded with a graphics card TITAN V sponsored by NVIDIA.
Darko Stern is recognized as an Outstanding Reviewer at MICCAI 2019!
We got a paper accepted at MICCAI 2019. Congratulations to Bonheur et al. ( Matwo-CapsNet: A Multi-label Semantic Segmentation Capsules Network )!
We got a paper accepted at ITSC'19. Congratulations to Waltner et al. (Semi-supervised Detector Training with Prototypes for Vehicle Detection)!
Our paper Jacob et al., Quantitative CT-derived vessel metrics in idiopathic pulmonary fibrosis: A structure–function study is featured on the title page of the May issue of the journal Respirology!
Martin Urschler will serve as an area chair of MICCAI 2019 in October in Shenzhen, China!
We got a journal paper accepted at Medical Image Analysis. Congratulations to Payer et al. (Integrating spatial configuration into heatmap regression based CNNs for landmark localization)!
We'll be presenting one paper at AVSS'18 and two papers at WACV'19 - congratulations to Ertler et al. (An Intent-based Automated Traffic Light for Pedestrians), Poier et al. (MURAUER: Mapping Unlabeled Real Data for Label AUstERity) and Waltner et al. (HiBsteR: Hierarchical Boosted Deep Metric Learning for Image Retrieval)!
We got a paper accepted at ITSC'18. Congratulations to Waltner et al. (Deep 2.5D Vehicle Classification with Sparse SfM Depth Prior for Automated Toll Systems)!
We got one paper accepted for oral presentation (4% acceptance rate) at MICCAI '18 in Granada - congratulations to Payer et al. (Instance Segmentation and Tracking with Cosine Embeddings and Recurrent Hourglass Networks)!
Horst Possegger finished his PhD thesis on Contextual Cues for Causal Visual Tracking!
We got one paper accepted at CVPR in Salt Lake City - congratulations to Poier et al. (Learning Pose Specific Representations by Predicting Different Views)!
Together with the Institute for Medical Engineering, we have studied an important practical aspect of our multi-factorial age estimation research, i.e. accelerating MRI data acquisition (Reducing acquisition time for MRI-based forensic age estimation)!
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)
Gernot Riegler finished his PhD thesis on Deep Learning for 2.5D and 3D!
Thomas Mauthner finished his PhD thesis on Learning Activity Recognition from Weakly Labeled Data!
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!
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!
We got one paper accepted for oral presentation at ICCV in Venice - congratulations to Opitz et al. (BIER - Boosting Independent Ensembles Robustly)!
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)
We got one paper accepted at ACCV in Taipei! Congratulations to Opitz et al. (Efficient Model Averaging for Deep Neural Networks).
We got one paper accepted at ECCV in Amsterdam! Congratulations to Opitz et al. (Grid Loss: Detecting Occluded Faces).
Congratulations to Poier et al. for winning the Best Paper Award at Digital Heritage (DH'15)!
We got one paper accepted at ICCV