446 citations · 2.3k across the 135 of their papers we have counts for
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RSV: Robotic Sonography for Thyroid Volumetry
John Zielke, Christine Eilers, Benjamin Busam +3
In nuclear medicine, radioiodine therapy is prescribed to treat diseases like hyperthyroidism. The calculation of the prescribed dose depends, amongst other factors, on the thyroid…
DemoGrasp: Few-Shot Learning for Robotic Grasping with Human Demonstration
Pengyuan Wang, Fabian Manhardt, Luca Minciullo +4
The ability to successfully grasp objects is crucial in robotics, as it enables several interactive downstream applications. To this end, most approaches either compute the full 6D…
Polarimetric Pose Prediction
Daoyi Gao, Yitong Li, Patrick Ruhkamp +6
Light has many properties that vision sensors can passively measure. Colour-band separated wavelength and intensity are arguably the most commonly used for monocular 6D object pose…
Wild ToFu: Improving Range and Quality of Indirect Time-of-Flight Depth with RGB Fusion in Challenging Environments
HyunJun Jung, Nikolas Brasch, Ales Leonardis +2
Indirect Time-of-Flight (I-ToF) imaging is a widespread way of depth estimation for mobile devices due to its small size and affordable price. Previous works have mainly focused on…
Object-aware Monocular Depth Prediction with Instance Convolutions
Enis Simsar, Evin Pınar Örnek, Fabian Manhardt +3
With the advent of deep learning, estimating depth from a single RGB image has recently received a lot of attention, being capable of empowering many different applications ranging…
ColibriDoc: An Eye-in-Hand Autonomous Trocar Docking System
Shervin Dehghani, Michael Sommersperger, Junjie Yang +6
Retinal surgery is a complex medical procedure that requires exceptional expertise and dexterity. For this purpose, several robotic platforms are currently being developed to enabl…
MIGS: Meta Image Generation from Scene Graphs
Azade Farshad, Sabrina Musatian, Helisa Dhamo +1
Generation of images from scene graphs is a promising direction towards explicit scene generation and manipulation. However, the images generated from the scene graphs lack quality…
Attention meets Geometry: Geometry Guided Spatial-Temporal Attention for Consistent Self-Supervised Monocular Depth Estimation
Patrick Ruhkamp, Daoyi Gao, Hanzhi Chen +2
Inferring geometrically consistent dense 3D scenes across a tuple of temporally consecutive images remains challenging for self-supervised monocular depth prediction pipelines. Thi…
Semantic Image Alignment for Vehicle Localization
Markus Herb, Matthias Lemberger, Marcel M. Schmitt +4
Accurate and reliable localization is a fundamental requirement for autonomous vehicles to use map information in higher-level tasks such as navigation or planning. In this paper,…
Interactive Segmentation for COVID-19 Infection Quantification on Longitudinal CT scans
Michelle Xiao-Lin Foo, Seong Tae Kim, Magdalini Paschali +6
Consistent segmentation of COVID-19 patient's CT scans across multiple time points is essential to assess disease progression and response to therapy accurately. Existing automatic…
MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation
Anastasia Makarevich, Azade Farshad, Vasileios Belagiannis +1
The lack of sufficient annotated image data is a common issue in medical image segmentation. For some organs and densities, the annotation may be scarce, leading to poor model trai…
Sickle Cell Disease Severity Prediction from Percoll Gradient Images using Graph Convolutional Networks
Ario Sadafi, Asya Makhro, Leonid Livshits +4
Sickle cell disease (SCD) is a severe genetic hemoglobin disorder that results in premature destruction of red blood cells. Assessment of the severity of the disease is a challengi…
Graph-to-3D: End-to-End Generation and Manipulation of 3D Scenes Using Scene Graphs
Helisa Dhamo, Fabian Manhardt, Nassir Navab +1
Controllable scene synthesis consists of generating 3D information that satisfy underlying specifications. Thereby, these specifications should be abstract, i.e. allowing easy user…
SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose Estimation
Yan Di, Fabian Manhardt, Gu Wang +3
Directly regressing all 6 degrees-of-freedom (6DoF) for the object pose (e.g. the 3D rotation and translation) in a cluttered environment from a single RGB image is a challenging p…
Unconditional Scene Graph Generation
Sarthak Garg, Helisa Dhamo, Azade Farshad +3
Despite recent advancements in single-domain or single-object image generation, it is still challenging to generate complex scenes containing diverse, multiple objects and their in…
Tracked 3D Ultrasound and Deep Neural Network-based Thyroid Segmentation reduce Interobserver Variability in Thyroid Volumetry
Markus Krönke, Christine Eilers, Desislava Dimova +9
Background: Thyroid volumetry is crucial in diagnosis, treatment and monitoring of thyroid diseases. However, conventional thyroid volumetry with 2D ultrasound is highly operator-d…
R4Dyn: Exploring Radar for Self-Supervised Monocular Depth Estimation of Dynamic Scenes
Stefano Gasperini, Patrick Koch, Vinzenz Dallabetta +3
While self-supervised monocular depth estimation in driving scenarios has achieved comparable performance to supervised approaches, violations of the static world assumption can st…
U-GAT: Multimodal Graph Attention Network for COVID-19 Outcome Prediction
Matthias Keicher, Hendrik Burwinkel, David Bani-Harouni +7
During the first wave of COVID-19, hospitals were overwhelmed with the high number of admitted patients. An accurate prediction of the most likely individual disease progression ca…
Deformation-Aware Robotic 3D Ultrasound
Zhongliang Jiang, Yue Zhou, Yuan Bi +3
Tissue deformation in ultrasound (US) imaging leads to geometrical errors when measuring tissues due to the pressure exerted by probes. Such deformation has an even larger effect o…
Segmentation in Style: Unsupervised Semantic Image Segmentation with Stylegan and CLIP
Daniil Pakhomov, Sanchit Hira, Narayani Wagle +2
We introduce a method that allows to automatically segment images into semantically meaningful regions without human supervision. Derived regions are consistent across different im…