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This is a survey on the ongoing development of a descriptive theory of represented spaces, which is intended as an extension of both classical and effective descriptive set theory to deal with both sets and functions between represented…

Logic in Computer Science · Computer Science 2014-08-25 Arno Pauly

We study the structure of representations, defined as approximations of minimal sufficient statistics that are maximal invariants to nuisance factors, for visual data subject to scaling and occlusion of line-of-sight. We derive analytical…

Computer Vision and Pattern Recognition · Computer Science 2015-04-20 Stefano Soatto , Jingming Dong , Nikolaos Karianakis

Narrative visualization aims to communicate scientific results to a general audience and garners significant attention in various applications. Merging exploratory and explanatory visualization could effectively support a non-expert…

Computers and Society · Computer Science 2026-02-26 Monique Meuschke , Laura Garrison , Noeska Smit , Stefan Bruckner , Kai Lawonn , Bernhard Preim

Human visual reasoning is characterized by an ability to identify abstract patterns from only a small number of examples, and to systematically generalize those patterns to novel inputs. This capacity depends in large part on our ability to…

Computer Vision and Pattern Recognition · Computer Science 2023-11-14 Taylor W. Webb , Shanka Subhra Mondal , Jonathan D. Cohen

From photorealistic sketches to schematic diagrams, drawing provides a versatile medium for communicating about the visual world. How do images spanning such a broad range of appearances reliably convey meaning? Do viewers understand…

Computer Vision and Pattern Recognition · Computer Science 2021-09-29 Robert D. Hawkins , Megumi Sano , Noah D. Goodman , Judith E. Fan

Outside-knowledge visual question answering is a challenging task that requires both the acquisition and the use of open-ended real-world knowledge. Some existing solutions draw external knowledge into the cross-modality space which…

Computer Vision and Pattern Recognition · Computer Science 2023-05-12 Qingyi Si , Yuchen Mo , Zheng Lin , Huishan Ji , Weiping Wang

Recent advances in visual representation learning allowed to build an abundance of powerful off-the-shelf features that are ready-to-use for numerous downstream tasks. This work aims to assess how well these features preserve information…

Computer Vision and Pattern Recognition · Computer Science 2022-12-21 Monika Wysoczańska , Tom Monnier , Tomasz Trzciński , David Picard

We present a state-of-the-art report on visualization in astrophysics. We survey representative papers from both astrophysics and visualization and provide a taxonomy of existing approaches based on data analysis tasks. The approaches are…

Instrumentation and Methods for Astrophysics · Physics 2021-06-02 Fangfei Lan , Michael Young , Lauren Anderson , Anders Ynnerman , Alexander Bock , Michelle A. Borkin , Angus G. Forbes , Juna A. Kollmeier , Bei Wang

The generalizability of empirical findings to new environments, settings or populations, often called "external validity," is essential in most scientific explorations. This paper treats a particular problem of generalizability, called…

Methodology · Statistics 2015-03-06 Judea Pearl , Elias Bareinboim

We describe a first step towards learning general-purpose visual representations of physical scenes using only image prediction as a training criterion. To do so, we first define "physical scene" and show that, even though different agents…

Common-sense physical reasoning in the real world requires learning about the interactions of objects and their dynamics. The notion of an abstract object, however, encompasses a wide variety of physical objects that differ greatly in terms…

Machine Learning · Computer Science 2020-12-16 Aleksandar Stanić , Sjoerd van Steenkiste , Jürgen Schmidhuber

This paper revisits the role of quantitative and qualitative methods in visualization research in the context of advancements in artificial intelligence (AI). The focus is on how we can bridge between the different methods in an integrated…

Human-Computer Interaction · Computer Science 2024-09-12 Daniel Weiskopf

We present and discuss the results of a two-year qualitative analysis of images published in IEEE Visualization (VIS) papers. Specifically, we derive a typology of 13 visualization image types, coded to distinguish visualizations and…

Participant needs to achieve a given power are frequently underestimated. This is particularly problematic when effect sizes are small, such as is common in neuroscience and psychology. We provide tools to make these demands immediately…

Quantitative Methods · Quantitative Biology 2016-01-01 Pascal Wallisch

Information visualization limits itself, per definition, to the domain of symbolic information. This paper discusses arguments why the field should also consider forms of data that are not symbolically encoded, including physical traces and…

Human-Computer Interaction · Computer Science 2019-07-15 Dietmar Offenhuber

This paper argues that an interlingual representation must explicitly represent some parts of the meaning of a situation as possibilities (or preferences), not as necessary or definite components of meaning (or constraints). Possibilities…

Computation and Language · Computer Science 2007-05-23 Philip Edmonds

One of the most basic functions of language is to refer to objects in a shared scene. Modeling reference with continuous representations is challenging because it requires individuation, i.e., tracking and distinguishing an arbitrary number…

Computation and Language · Computer Science 2019-11-18 Gemma Boleda , Sebastian Padó , Marco Baroni

In visualization education, both science and humanities, the literature is often divided into two parts: the design aspect and the analysis of the visualization. However, we find limited discussion on how to motivate and engage…

Human-Computer Interaction · Computer Science 2021-01-20 Alon Friedman , Paul Rosen

This paper addresses the concept of materiality in virtual environments, which we define as being composed of objects that can influence user experience actively. Such virtual materiality is closely related to its physical counterpart,…

Human-Computer Interaction · Computer Science 2025-04-23 Ali Arya , Anthony Scavarelli , Dan Hawes , Luciara Nardon

Mounting evidence in neuroscience suggests the possibility of neuronal representations that individual neurons serve as the substrates of different mental representations in a point-to-point way. Combined with associationism, it can…

Neurons and Cognition · Quantitative Biology 2021-09-06 Chiyin Zheng