Results 171 to 180 of about 3,638 (258)

SlideSAVR: Enabling Live Analysis during Data Presentations via Multimodal Sketching and Voice Input

open access: yesComputer Graphics Forum, EarlyView.
Abstract Interpersonal communication in data science can yield sought‐after insights, but presentation environments are often not conducive for live analysis, forcing the process to move offline. Through a formative survey with 16 participants, we identified both technical (e.g., complexity of tools) and psychological (e.g., pressure of programming ...
C. Han   +5 more
wiley   +1 more source

Guardrail Selection in Line Charts to Contextualize Persuasive Visualizations

open access: yesComputer Graphics Forum, EarlyView.
Abstract Charts used for persuasion can easily veer into being outright misleading when, for instance, cherry‐picked data is paired with a deceptive caption, as is commonly encountered on social media. The rise of interactive time‐series data explorers for hotly debated topics makes such framing easy to produce and spread.
K. A. Nadib, M. Kogan, A. Lex, M. Lisnic
wiley   +1 more source

Frequency‐Aware Spatial‐Angular Gaussians for Efficient Global Illumination Precomputation and Real‐Time Rendering

open access: yesComputer Graphics Forum, EarlyView.
Abstract Precomputation and efficient approximate material models are well‐known approaches for achieving real‐time rendering with global illumination. Recent research in radiance fields and in particular 3D Gaussian Splatting has demonstrated the power of Gaussian primitives both to represent radiance and for fast optimization.
I. Shah, S. Lucas, G. Drettakis
wiley   +1 more source

FlowGS: Controlling Information Flow for Graph‐Based Interaction in 3D Gaussian Splatting

open access: yesComputer Graphics Forum, EarlyView.
Abstract 3D Gaussian Splatting (3DGS) has recently enabled real‐time, high‐quality novel view synthesis. However, its formulation treats each Gaussian independently, lacking explicit information exchange between neighboring elements and limiting its ability to capture local structure.
T. Jia, R. Sun, W. Shi
wiley   +1 more source

Advances in 4D Representation: Geometry, Motion, and Interaction

open access: yesComputer Graphics Forum, EarlyView.
We survey 4D representation through three key pillars — geometry, motion, and interaction — offering a selective, representation‐centric perspective to guide researchers in choosing and customizing the right 4D representation for their tasks. Abstract We present a survey on 4D generation and reconstruction, a fast‐evolving subfield of computer graphics
M. Zhao   +7 more
wiley   +1 more source

Managing Sustainability Data Proactively: Corporate Sustainability Reporting (Directive) as a Driver

open access: yesInformation Systems Journal, EarlyView.
ABSTRACT Sustainability has become a key priority for firms, and the increasing number of mandatory regulations only heightens its importance. The Corporate Sustainability Reporting Directive (CSRD) introduces stringent non‐financial disclosure requirements, significantly expanding the scope and breadth of reporting, particularly for those operating in
Elizabeth A. Teracino   +2 more
wiley   +1 more source

Accelerating Platform User Growth: Pinduoduo's Multi‐Motivational Selfish Referral Strategy

open access: yesInformation Systems Journal, EarlyView.
ABSTRACT Referral strategies, whereby existing platform users recruit new users and thereby strengthen same‐side network effects, have long been central to digital platforms' efforts to grow the installed user base. Current referral strategies often require the referee to complete a transaction as a prerequisite for the referrer to receive the reward ...
Runyu Shi   +2 more
wiley   +1 more source

Deep reinforcement learning for multi‐restart metaheuristics: an environment design for a hybrid of unbiased exploratory search and covariance matrix adaptation evolution strategy

open access: yesInternational Transactions in Operational Research, EarlyView.
Abstract Multi‐restart metaheuristics can be highly effective for complex optimization problems, yet their performance depends critically on how restarts and algorithmic parameters are selected. This paper introduces a reinforcement learning approach for managing restart‐level decisions and parameter configurations in the UES–CMA‐ES hybrid ...
Antonio Bolufé‐Röhler, Bowen Xu
wiley   +1 more source

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