Data charts are prevalent across various fields due to their efficacy in...
Data visualizations and narratives are often integrated to convey data
s...
Creating an animated data video enriched with audio narration takes a
si...
With appealing visual effects, kinetic typography (animated text) has
pr...
We propose emordle, a conceptual design that animates wordles (compact w...
Although both self-supervised single-frame and multi-frame depth estimat...
Data storytelling plays an important role in data workers' daily jobs si...
Artificial Intelligence (AI) has made incredible progress recently. On t...
Robust segmentation of infant brain MRI across multiple ages, modalities...
In geographic data videos, camera movements are frequently used and comb...
This paper introduces semi-automatic data tours to aid the exploration o...
Computational notebooks are widely used for data analysis. Their interle...
Scene flow estimation, which predicts the 3D motion of scene points from...
Text-based voice editing (TBVE) uses synthetic output from text-to-speec...
Audio tagging aims to assign predefined tags to audio clips to indicate ...
Stereo matching is a fundamental building block for many vision and robo...
A key challenge to visualization authoring is the process of getting fam...
Although existing monocular depth estimation methods have made great
pro...
Labeled datasets are essential for supervised machine learning. Various ...
Sequential audio event tagging can provide not only the type information...
Representation learning from unlabeled data has been of major interest i...
Detection of common events and scenes from audio is useful for extractin...
Animated transitions help viewers understand changes between related
vis...
Transfer learning is critical for efficient information transfer across
...
Magnetic resonance imaging (MRI) noninvasively provides critical informa...
Visualizations themselves have become a data format. Akin to other data
...
We contribute a method to automate parameter configurations for chart la...
In this work, we exploit speech enhancement for improving a recurrent ne...
Animated visualization is becoming increasingly popular as a compelling ...
Abstractive text summarization is a challenging task, and one need to de...
Speech emotion recognition is a challenging problem because human convey...
In this paper we present DELTA, a deep learning based language technolog...
Designers need to consider not only perceptual effectiveness but also vi...
Detecting and analyzing potential anomalous performances in cloud comput...
Combining data content with visual embellishments, infographics can
effe...
Research on sound event detection (SED) with weak labeling has mostly fo...
Sound event detection (SED) entails two subtasks: recognizing what types...
Many sequence learning tasks require the localization of certain events ...
The lack of strong labels has severely limited the state-of-the-art full...
State-of-the-art audio event detection (AED) systems rely on supervised
...
State-of-the-art audio event detection (AED) systems rely on supervised
...
Recently dictionary screening has been proposed as an effective way to
i...
One way to solve lasso problems when the dictionary does not fit into
av...
This paper is a survey of dictionary screening for the lasso problem. Th...
In this paper, we propose a new unsupervised feature learning framework,...