Search Results for author:
Found 9 papers, 1 papers with code
Towards 3D Vision with Low-Cost Single-Photon Cameras
We present a method for reconstructing 3D shape of arbitrary Lambertian objects based on measurements by miniature, energy-efficient, low-cost single-photon cameras.
Unlocking the Performance of Proximity Sensors by Utilizing Transient Histograms
To validate our methods, we capture 3, 800 measurements of eight planar surfaces from a wide range of viewpoints, and show that our method outperforms the proprietary-distance-estimate baseline by an order of magnitude in most scenarios.
Visual Validation versus Visual Estimation: A Study on the Average Value in Scatterplots
We investigate the ability of individuals to visually validate statistical models in terms of their fit to the data.
Handheld Haptic Device with Coupled Bidirectional Input
Handheld kinesthetic haptic interfaces can provide greater mobility and richer tactile information as compared to traditional grounded devices.
Trinary Tools for Continuously Valued Binary Classifiers
Machine learning practitioners must perform model selection, calibration, discretization, performance assessment, tuning, and fairness assessment.
CAVA: A Visual Analytics System for Exploratory Columnar Data Augmentation Using Knowledge Graphs
In this paper, we present CAVA, a system that integrates data curation and data augmentation with the traditional data exploration and analysis tasks, enabling information foraging in-situ during analysis.
Boxer: Interactive Comparison of Classifier Results
The approach focuses on allowing the user to identify interesting subsets of training and testing instances and comparing performance of the classifiers on these subsets.
embComp: Visual Interactive Comparison of Vector Embeddings
Summarizing these local metrics over the embeddings provides global overviews of similarities and differences.
A User-based Visual Analytics Workflow for Exploratory Model Analysis
We found that our system workflow enabled users to generate complex models, to assess them for various qualities, and to select the most relevant model for their task.
