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HeatWalk: Robust Salient Segmentation of Non-rigid Shapes

HeatWalk: Robust Salient Segmentation of Non-rigid Shapes

by William | Jul 10, 2011 | 2011, HUMAN SHAPE INTERACTION, Karthik Ramani, Publications, Shape Understanding, William Benjamin

Authors: William Benjamin , Andrew Wood Polk , S. V. N. Vishwanathan , and Karthik Ramani Published in: Computer Graphics Forum Vol: 30 (7). 2011, Pages 2097-2106 Abstract: Segmenting three dimensional objects using properties of heat diffusion on meshes aim to...
Global Geometric Affinity for Revealing High Fidelity Protein Interaction Network

Global Geometric Affinity for Revealing High Fidelity Protein Interaction Network

by preciseadmin | May 14, 2011 | 2011, HUMAN SHAPE INTERACTION, Karthik Ramani, Publications, Shape Understanding, William Benjamin

Abstract: Protein-protein interaction (PPI) network analysis presents an essential role in understanding the functional relationship among proteins in a living biological system. Despite the success of current approaches for understanding the PPI network, the large...
Using Diffusion Distances for Flexible Molecular Shape Comparison

Using Diffusion Distances for Flexible Molecular Shape Comparison

by _not_Exist_ | Oct 15, 2010 | 2010, HUMAN SHAPE INTERACTION, Karthik Ramani, Publications, Shape Understanding, William Benjamin

Abstract: Background Many molecules are flexible and undergo significant shape deformation as part of their function, and yet most existing molecular shape comparison (MSC) methods treat them as rigid bodies, which may lead to incorrect shape recognition. Results In...
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Categories

  • DESIGN METHOD
    • Design Learn
    • Design Collaboration
    • Design Representation
  • TANGIBLE, EMBEDDED & EMBODIED INTERFACES
    • Embedded Input
    • Tangibles
    • Fabrication
  • HUMAN SHAPE INTERACTION
    • Multi-touch Interaction
    • Mid-air Interaction
    • Spatial Analytics
    • Shape Understanding

Recent Publications

  • DesignFromX:Empowering Consumer-Driven Design Space Exploration through Feature Composition of Referenced Products
  • GesPrompt: Leveraging Co-Speech Gestures to Augment LLM-Based Interaction in Virtual Reality
  • CARING-AI: Towards Authoring Context-aware Augmented Reality INstruction through Generative Artificial Intelligence

Recent Publications

  • DesignFromX:Empowering Consumer-Driven Design Space Exploration through Feature Composition of Referenced Products
  • GesPrompt: Leveraging Co-Speech Gestures to Augment LLM-Based Interaction in Virtual Reality
  • CARING-AI: Towards Authoring Context-aware Augmented Reality INstruction through Generative Artificial Intelligence

Lab News

  • ASME Hosts Congressional Briefing on Developing a Robust AI and STEM Workforce
  • Purdue professor foresees AI as catalyst for transformation in manufacturing and workforce
  • Convergence Master’s Thesis Graduate and Veo Co-founder Edwin Tan officially launches the Veo fleet at Purdue University

Recent Publications

  • DesignFromX:Empowering Consumer-Driven Design Space Exploration through Feature Composition of Referenced Products
  • GesPrompt: Leveraging Co-Speech Gestures to Augment LLM-Based Interaction in Virtual Reality
  • CARING-AI: Towards Authoring Context-aware Augmented Reality INstruction through Generative Artificial Intelligence

Featured Publications

  • CARING-AI: Towards Authoring Context-aware Augmented Reality INstruction through Generative Artificial Intelligence
  • Visualizing Causality in Mixed Reality for Manual Task Learning: A Study
  • M2D2M: Multi-Motion Generation from Text with Discrete Diffusion Models
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