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Short proofs of some extremal results III
(2020)Random Structures & Algorithms ~ Proceedings of the Nineteenth International Conference “Random Structures and Algorithms” held 15–19 July, 2019, Zürich, SwitzerlandWe prove a selection of results from different areas of extremal combinatorics, including complete or partial solutions to a number of open problems. These results, coming mainly from extremal graph theory and Ramsey theory, have been collected together because in each case the relevant proofs are reasonably short.Conference Paper -
Unsupervised Task Clustering for Multi-Task Reinforcement Learning
(2020)Deep Reinforcement Learning Workshop, NeurIPS 2020. Accepted PapersMeta-learning, transfer learning and multi-task learning have recently laid a path towards more generally applicable reinforcement learning agents that are not limited to a single task. However, most existing approaches implicitly assume a uniform similarity between tasks. We argue that this assumption is limiting in settings where the relationship between tasks is unknown a-priori. In this work, we propose a general approach to automatically ...Conference Paper -
Estimating Risk-Adjusted Hospital Performance
(2020)2020 IEEE International Conference on Big Data (Big Data)The quality of healthcare provided by hospitals is subject to considerable variability. Consequently, accurate measurements of hospital performance are essential for various decision-makers, including patients, hospital managers and health insurers. Hospital performance is assessed via the health outcomes of their patients. However, as the risk profiles of patients between hospitals vary, measuring hospital performance requires adjustment ...Conference Paper -
Comparative visual gaze analysis for virtual board games
(2020)VINCI '20: Proceedings of the 13th International Symposium on Visual Information Communication and InteractionWe introduce an approach for the visual analysis of eye movement data from two people playing competitive virtual board games. Our approach provides methods to temporally synchronize and spatially register gaze and mouse recordings from two eye tracking devices. Analysts can examine such fused data visually with a combination of techniques: attention maps and gaze plots as well as a temporal summary of the distance between gaze positions ...Conference Paper -
Warm calibration unit of the mid-infrared E-ELT instrument METIS: overview and current status of the project
(2020)Proceedings Volume 11447, Modeling, Systems Engineering, and Project Management for Astronomy IXConference Paper -
A collaborative systems engineering approach for large instrument consortia
(2020)Proceedings Volume 11450, Modeling, Systems Engineering, and Project Management for Astronomy IXConference Paper -
FaceMagic: Real-Time Facial Detail Effects on Mobile
(2020)SA '20: SIGGRAPH Asia 2020 Technical CommunicationsWe present a novel real-time face detail reconstruction method capable of recovering high quality geometry on consumer mobile devices. Our system firstly uses a morphable model and semantic segmentation of facial parts to achieve robust self-calibration. We then capture fine-scale surface details using a patch-based Shape from Shading (SfS) approach. We pre-compute the patch-wise constant Moore–Penrose inverse matrix of the resulting ...Conference Paper -
Preparatory studies for a mid-infrared nulling interferometry experiment at cryogenic conditions
(2020)Proceedings of SPIE ~ Optical and Infrared Interferometry and Imaging VIIA space-based mid-infrared nulling interferometer is one of the most promising concepts to achieve one of the long-term goals of exoplanet science - the characterization of many terrestrial planets and the assessment of their potential habitability. In preparation of a potential future mission, we are continuing the efforts of previous mission concepts and their associated nulling testbeds that operated at ambient conditions. While they ...Conference Paper -
Metamorphic Object Insertion for Testing Object Detection Systems
(2020)Proceedings of the 35th IEEE/ACM International Conference on Automated Software EngineeringRecent advances in deep neural networks (DNNs) have led to object detectors (ODs) that can rapidly process pictures or videos, and recognize the objects that they contain. Despite the promising progress by industrial manufacturers such as Amazon and Google in commercializing deep learning-based ODs as a standard computer vision service, ODs - similar to traditional software - may still produce incorrect results. These errors, in turn, can ...Conference Paper -
Grasping Field: Learning Implicit Representations for Human Grasps
(2020)2020 International Conference on 3D Vision (3DV)Robotic grasping of house-hold objects has made remarkable progress in recent years. Yet, human grasps are still difficult to synthesize realistically. There are several key reasons: (1) the human hand has many degrees of freedom (more than robotic manipulators); (2) the synthesized hand should conform to the surface of the object; and (3) it should interact with the object in a semantically and physically plausible manner. To make progress ...Conference Paper