activity
20212026
most citedDiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models

13 citations · 20 across the 11 of their papers we have counts for

collaborators

11 papers

cs.HC2026

CrossAtlas: Evaluating Projection Techniques for Spatial Referencing in Cross-Reality Collaboration

Haoyang Yang, Chenyang Zhang, Elliott H. Faa +7

Cross-reality collaboration increasingly connects immersive and desktop users within synchronized workspaces, yet little is known about how bidirectional projection techniques betw…

cs.HC2026

Break the Window: Exploring Spatial Decomposition of Webpages in XR

Chenyang Zhang, Tianjian Wei, Haoyang Yang +3

Most XR web browsers still present webpages as a single floating window, carrying over desktop design assumptions into immersive space. We explore an alternative by breaking the br…

cs.HC2025

LitForager: Exploring Multimodal Literature Foraging Strategies in Immersive Sensemaking

Haoyang Yang, Elliott H. Faa, Weijian Liu +3

Exploring and comprehending relevant academic literature is a vital yet challenging task for researchers, especially given the rapid expansion in research publications. This task f…

cs.HC2024

Multi-User Mobile Augmented Reality for Cardiovascular Surgical Planning

Pratham Mehta, Rahul O Narayanan, Harsha Karanth +4

Collaborative planning for congenital heart diseases typically involves creating physical heart models through 3D printing, which are then examined by both surgeons and cardiologis…

cs.HC2024

Interactive Visual Learning for Stable Diffusion

Seongmin Lee, Benjamin Hoover, Hendrik Strobelt +7

Diffusion-based generative models' impressive ability to create convincing images has garnered global attention. However, their complex internal structures and operations often pos…

cs.HC2024

ARCollab: Towards Multi-User Interactive Cardiovascular Surgical Planning in Mobile Augmented Reality

Pratham Mehta, Harsha Karanth, Haoyang Yang +3

Surgical planning for congenital heart diseases requires a collaborative approach, traditionally involving the 3D-printing of physical heart models for inspection by surgeons and c…

cs.CL2023★ 5 cited

Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion

Seongmin Lee, Benjamin Hoover, Hendrik Strobelt +7

Diffusion-based generative models' impressive ability to create convincing images has garnered global attention. However, their complex structures and operations often pose challen…

cs.HC2022

Evaluation of Argo Scholar with Observational Study

Kevin Li, Haoyang Yang, Evan Montoya +4

Discovering and making sense of relevant literature is fundamental in any scientific field. Node-link diagram-based visualization tools can aid this process; however, existing tool…

cs.CV2022★ 13 cited

DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models

Zijie J. Wang, Evan Montoya, David Munechika +3

With recent advancements in diffusion models, users can generate high-quality images by writing text prompts in natural language. However, generating images with desired details re…

cs.HC2022★ 2 cited

Evaluating Cardiovascular Surgical Planning in Mobile Augmented Reality

Haoyang Yang, Pratham Darrpan Mehta, Jonathan Leo +7

Advanced surgical procedures for congenital heart diseases (CHDs) require precise planning before the surgeries. The conventional approach utilizes 3D-printing and cutting physical…

cs.HC2021

Argo Scholar: Interactive Visual Exploration of Literature in Browsers

Kevin Li, Haoyang Yang, Anish Upadhayay +3

Discovering and making sense of relevant research literature is fundamental to becoming knowledgeable in any scientific discipline. Visualization can aid this process; however, exi…