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09/21/2023
This is the Table I Want! Interactive Data Transformation on Desktop and in Virtual Reality
Data transformation is an essential step in data science. While experts ...
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09/19/2023
Sound Source Localization is All about Cross-Modal Alignment
Humans can easily perceive the direction of sound sources in a visual sc...
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09/08/2023
Residency Octree: A Hybrid Approach for Scalable Web-Based Multi-Volume Rendering
We present a hybrid multi-volume rendering approach based on a novel Res...
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08/29/2023
CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine Translation
There has been a growing interest in developing multimodal machine trans...
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08/20/2023
RL-LABEL: A Deep Reinforcement Learning Approach Intended for AR Label Placement in Dynamic Scenarios
Labels are widely used in augmented reality (AR) to display digital info...
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08/09/2023
A Unified Interactive Model Evaluation for Classification, Object Detection, and Instance Segmentation in Computer Vision
Existing model evaluation tools mainly focus on evaluating classificatio...
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08/07/2023
Quantifying the Impact of XR Visual Guidance on User Performance Using a Large-Scale Virtual Assembly Experiment
The combination of Visual Guidance and Extended Reality (XR) technology ...
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07/24/2023
VIRD: Immersive Match Video Analysis for High-Performance Badminton Coaching
Badminton is a fast-paced sport that requires a strategic combination of...
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06/26/2023
Domain-Scalable Unpaired Image Translation via Latent Space Anchoring
Unpaired image-to-image translation (UNIT) aims to map images between tw...
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06/06/2023
Inference-Time Intervention: Eliciting Truthful Answers from a Language Model
We introduce Inference-Time Intervention (ITI), a technique designed to ...
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06/05/2023
Beyond Generating Code: Evaluating GPT on a Data Visualization Course
This paper presents an empirical evaluation of the performance of the Ge...
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03/23/2023
Masked Image Training for Generalizable Deep Image Denoising
When capturing and storing images, devices inevitably introduce noise. R...
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03/06/2023
iBall: Augmenting Basketball Videos with Gaze-moderated Embedded Visualizations
We present iBall, a basketball video-watching system that leverages gaze...
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02/08/2023
The XPRESS Challenge: Xray Projectomic Reconstruction – Extracting Segmentation with Skeletons
The wiring and connectivity of neurons form a structural basis for the f...
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02/01/2023
An Out-of-Domain Synapse Detection Challenge for Microwasp Brain Connectomes
The size of image stacks in connectomics studies now reaches the terabyt...
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01/27/2023
Is Embodied Interaction Beneficial? A Study on Navigating Network Visualizations
Network visualizations are commonly used to analyze relationships in var...
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12/20/2022
QuantArt: Quantizing Image Style Transfer Towards High Visual Fidelity
The mechanism of existing style transfer algorithms is by minimizing a h...
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11/23/2022
Human or Machine? Turing Tests for Vision and Language
As AI algorithms increasingly participate in daily activities that used ...
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11/15/2022
The Ball is in Our Court: Conducting Visualization Research with Sports Experts
Most sports visualizations rely on a combination of spatial, highly temp...
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10/24/2022
Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task
Language models show a surprising range of capabilities, but the source ...
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10/18/2022
RibSeg v2: A Large-scale Benchmark for Rib Labeling and Anatomical Centerline Extraction
Automatic rib labeling and anatomical centerline extraction are common p...
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09/07/2022
Sporthesia: Augmenting Sports Videos Using Natural Language
Augmented sports videos, which combine visualizations and video effects ...
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09/01/2022
The Quest for Omnioculars: Embedded Visualization for Augmenting Basketball Game Viewing Experiences
Sports game data is becoming increasingly complex, often consisting of m...
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08/16/2022
Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models
State-of-the-art neural language models can now be used to solve ad-hoc ...
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06/15/2022
What makes domain generalization hard?
While several methodologies have been proposed for the daunting task of ...
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06/09/2022
Diagnosing Ensemble Few-Shot Classifiers
The base learners and labeled samples (shots) in an ensemble few-shot cl...
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04/17/2022
MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction
Existing leading methods for spectral reconstruction (SR) focus on desig...
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04/06/2022
Instance Segmentation of Unlabeled Modalities via Cyclic Segmentation GAN
Instance segmentation for unlabeled imaging modalities is a challenging ...
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04/06/2022
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training
Existing deep learning real denoising methods require a large amount of ...
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03/10/2022
The Pattern is in the Details: An Evaluation of Interaction Techniques for Locating, Searching, and Contextualizing Details in Multivariate Matrix Visualizations
Matrix visualizations are widely used to display large-scale network, ta...
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01/27/2022
Revisiting RCAN: Improved Training for Image Super-Resolution
Image super-resolution (SR) is a fast-moving field with novel architectu...
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12/10/2021
PyTorch Connectomics: A Scalable and Flexible Segmentation Framework for EM Connectomics
We present PyTorch Connectomics (PyTC), an open-source deep-learning fra...
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12/06/2021
Labeling Out-of-View Objects in Immersive Analytics to Support Situated Visual Searching
Augmented Reality (AR) embeds digital information into objects of the ph...
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11/15/2021
Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation
Video instance segmentation aims to detect, segment, and track objects i...
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10/30/2021
Three approaches to facilitate DNN generalization to objects in out-of-distribution orientations and illuminations: late-stopping, tuning batch normalization and invariance los
The training data distribution is often biased towards objects in certai...
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10/27/2021
MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification
We introduce MedMNIST v2, a large-scale MNIST-like dataset collection of...
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10/19/2021
GenNI: Human-AI Collaboration for Data-Backed Text Generation
Table2Text systems generate textual output based on structured data util...
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10/10/2021
Scope2Screen: Focus+Context Techniques for Pathology Tumor Assessment in Multivariate Image Data
Inspection of tissues using a light microscope is the primary method of ...
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09/29/2021
Visualization Design Sprints for Online and On-Campus Courses
We present how to integrate Design Sprints and project-based learning in...
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09/17/2021
Asymmetric 3D Context Fusion for Universal Lesion Detection
Modeling 3D context is essential for high-performance 3D medical image a...
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09/17/2021
RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans
Manual rib inspections in computed tomography (CT) scans are clinically ...
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07/13/2021
Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field
The developmental process of embryos follows a monotonic order. An embry...
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06/30/2021
Small in-distribution changes in 3D perspective and lighting fool both CNNs and Transformers
Neural networks are susceptible to small transformations including 2D ro...
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04/08/2021
Towards an Understanding of Situated AR Visualization for Basketball Free-Throw Training
We present an observational study to compare co-located and situated rea...
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03/13/2021
PhotoApp: Photorealistic Appearance Editing of Head Portraits
Photorealistic editing of portraits is a challenging task as humans are ...
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02/01/2021
Consistent Recurrent Neural Networks for 3D Neuron Segmentation
We present a recurrent network for the 3D reconstruction of neurons that...
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01/15/2021
Visualizing and Interacting with Geospatial Networks: A Survey and Design Space
This paper surveys visualization and interaction techniques for geospati...
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01/15/2021
Ask Me or Tell Me? Enhancing the Effectiveness of Crowdsourced Design Feedback
Crowdsourced design feedback systems are emerging resources for getting ...
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12/02/2020
Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation
Blastomere instance segmentation is important for analyzing embryos' abn...
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08/24/2020
