activity
20162025
most citedCPS++: Improving Class-level 6D Pose and Shape Estimation From Monocular Images With Self-Supervised Learning

35 citations · 88 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2025

Semantic Scene Graph for Ultrasound Image Explanation and Scanning Guidance

Xuesong Li, Dianye Huang, Yameng Zhang +2

Understanding medical ultrasound imaging remains a long-standing challenge due to significant visual variability caused by differences in imaging and acquisition parameters. Recent…

cs.CV2023★ 1 cited

VoxNeRF: Bridging Voxel Representation and Neural Radiance Fields for Enhanced Indoor View Synthesis

Sen Wang, Qing Cheng, Stefano Gasperini +5

The generation of high-fidelity view synthesis is essential for robotic navigation and interaction but remains challenging, particularly in indoor environments and real-time scenar…

cs.CV2023★ 3 cited

Location-Free Scene Graph Generation

Ege Özsoy, Felix Holm, Mahdi Saleh +4

Scene Graph Generation (SGG) is a visual understanding task, aiming to describe a scene as a graph of entities and their relationships with each other. Existing works rely on locat…

eess.IV2021★ 17 cited

Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient

Florian Kofler, Ivan Ezhov, Fabian Isensee +16

Metrics optimized in complex machine learning tasks are often selected in an ad-hoc manner. It is unknown how they align with human expert perception. We explore the correlations b…

cs.CV2020★ 35 cited

CPS++: Improving Class-level 6D Pose and Shape Estimation From Monocular Images With Self-Supervised Learning

Fabian Manhardt, Gu Wang, Benjamin Busam +5

Contemporary monocular 6D pose estimation methods can only cope with a handful of object instances. This naturally hampers possible applications as, for instance, robots seamlessly…

cs.CV2019

LumiPath -- Towards Real-time Physically-based Rendering on Embedded Devices

Laura Fink, Sing Chun Lee, Jie Ying Wu +6

With the increasing computational power of today's workstations, real-time physically-based rendering is within reach, rapidly gaining attention across a variety of domains. These…

cs.CV2018

Exploiting Partial Structural Symmetry For Patient-Specific Image Augmentation in Trauma Interventions

Javad Fotouhi, Mathias Unberath, Giacomo Taylor +7

In unilateral pelvic fracture reductions, surgeons attempt to reconstruct the bone fragments such that bilateral symmetry in the bony anatomy is restored. We propose to exploit thi…

cs.CV2016★ 32 cited

Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses

Christian Rupprecht, Iro Laina, Robert DiPietro +4

Many prediction tasks contain uncertainty. In some cases, uncertainty is inherent in the task itself. In future prediction, for example, many distinct outcomes are equally valid. I…