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Morphologically Aware Word-Level Translation
(2020)Proceedings of the 28th International Conference on Computational LinguisticsWe propose a novel morphologically aware probability model for bilingual lexicon induction, which jointly models lexeme translation and inflectional morphology in a structured way. Our model exploits the basic linguistic intuition that the lexeme is the key lexical unit of meaning, while inflectional morphology provides additional syntactic information. This approach leads to substantial performance improvements—19% average improvement ...Conference Paper -
A Geometry-Inspired Attack for Generating Natural Language Adversarial Examples
(2020)Proceedings of the 28th International Conference on Computational LinguisticsGenerating adversarial examples for natural language is hard, as natural language consists of discrete symbols, and examples are often of variable lengths. In this paper, we propose a geometry-inspired attack for generating natural language adversarial examples. Our attack generates adversarial examples by iteratively approximating the decision boundary of Deep Neural Networks (DNNs). Experiments on two datasets with two different models ...Conference Paper -
On Broadcast in Generalized Network and Adversarial Models
(2020)Leibniz International Proceedings in Informatics (LIPIcs)Broadcast is a primitive which allows a specific party to distribute a message consistently among n parties, even if up to t parties exhibit malicious behaviour. In the classical model with a complete network of bilateral authenticated channels, the seminal result of Pease et al. [Pease et al., 1980] shows that broadcast is achievable if and only if t < n/3. There are two generalizations suggested for the broadcast problem - with respect ...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 -
The k-Server Problem with Delays on the Uniform Metric Space
(2020)Leibniz International Proceedings in Informatics (LIPIcs) ~ 31st International Symposium on Algorithms and Computation (ISAAC 2020)In this paper, we present tight bounds for the k-server problem with delays in the uniform metric space. The problem is defined on n+k nodes in the uniform metric space which can issue requests over time. These requests can be served directly or with some delay using k servers, by moving a server to the corresponding node with an open request. The task is to find an online algorithm that can serve the requests while minimizing the total ...Conference Paper