25 citations · 52 across the 7 of their papers we have counts for
7 papers
AI Agents and the Future of VIS
Chen Zhu-Tian, Nam Wook Kim, Saeed Boorboor +4
Recent advances in agents (i.e., autonomous, goal-driven AI systems that iteratively observe, act, and learn from their environments) offer a fundamentally different approach from…
Marks, Channels, and Dead Ends: Stop Running Graphical Perception Studies and Start Modeling Visualizations as Images
Khairi Reda, Shambhawi Sharma, Luc Renambot +2
Graphical perception studies are the visualization community's preferred tool for evaluating visualizations. By measuring how accurately people interpret arrangements of visual mar…
Explainable XR: Understanding User Behaviors of XR Environments using LLM-assisted Analytics Framework
Yoonsang Kim, Zainab Aamir, Mithilesh Singh +3
We present Explainable XR, an end-to-end framework for analyzing user behavior in diverse eXtended Reality (XR) environments by leveraging Large Language Models (LLMs) for data int…
Submerse: Visualizing Storm Surge Flooding Simulations in Immersive Display Ecologies
Saeed Boorboor, Yoonsang Kim, Ping Hu +3
We present Submerse, an end-to-end framework for visualizing flooding scenarios on large and immersive display ecologies. Specifically, we reconstruct a surface mesh from input flo…
Geometry-Aware Planar Embedding of Treelike Structures
Ping Hu, Saeed Boorboor, Joseph Marino +1
The growing complexity of spatial and structural information in 3D data makes data inspection and visualization a challenging task. We describe a method to create a planar embeddin…
NeuRegenerate: A Framework for Visualizing Neurodegeneration
Saeed Boorboor, Shawn Mathew, Mala Ananth +3
Recent advances in high-resolution microscopy have allowed scientists to better understand the underlying brain connectivity. However, due to the limitation that biological specime…
Crowdsourcing Lung Nodules Detection and Annotation
Saeed Boorboor, Saad Nadeem, Ji Hwan Park +2
We present crowdsourcing as an additional modality to aid radiologists in the diagnosis of lung cancer from clinical chest computed tomography (CT) scans. More specifically, a comp…