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Prestigious Publication: Gauss’s law for networks directly reveals community boundaries – Featured in Scientific Reports

Prestigious Publication: Gauss’s law for networks directly reveals community boundaries – Featured in Scientific Reports

by Convergence Design Lab Admin | Sep 1, 2018 | Ayan Sinha, Karthik Ramani, Karthik Ramani, News

Download: Nature – Gauss’s Law for networks directly reveals community boundaries
Gauss’s law for networks directly reveals community boundaries

Gauss’s law for networks directly reveals community boundaries

by Convergence Design Lab Admin | Aug 22, 2018 | 2018, Ayan Sinha, Karthik Ramani, Karthik Ramani, Publications, Recent Publications

The study of network topology provides insight into the function and behavior of physical, social, and biological systems. A natural step towards discovering the organizing principles of these complex topologies is to identify a reduced network representation using...
SurfNet: Generating 3D shape surfaces using deep residual networks

SurfNet: Generating 3D shape surfaces using deep residual networks

by Convergence Design Lab Admin | Mar 24, 2017 | 2017, Asim Unmesh, Ayan Sinha, Karthik Ramani, Recent Publications

  3D shape models are naturally parameterized using vertices and faces, i.e., composed of polygons forming a surface. However, current 3D learning paradigms for predictive and generative tasks using convolutional neural networks focus on a voxelized...
Deconvolving Feedback Loops in Recommender Systems

Deconvolving Feedback Loops in Recommender Systems

by Convergence Design Lab Admin | Dec 3, 2016 | 2016, Ayan Sinha, Karthik Ramani, Recent Publications

Collaborative filtering is a popular technique to infer users’ preferences on new content based on the collective information of all users preferences. Recommender systems then use this information to make personalized suggestions to users. When users accept...
Deep Learning 3D Shape Surfaces using Geometry Images

Deep Learning 3D Shape Surfaces using Geometry Images

by Convergence Design Lab Admin | Aug 19, 2016 | 2016, Ayan Sinha, Recent Publications, Shape Understanding, Spatial Analytics

Surfaces serve as a natural parametrization to 3D shapes. Learning surfaces using convolutional neural networks (CNNs) is a challenging task. Current paradigms to tackle this challenge are to either adapt the convolutional filters to operate on surfaces, learn...
New tool for virtual and augmented reality uses ‘deep learning’

New tool for virtual and augmented reality uses ‘deep learning’

by Chiho Choi | Jun 22, 2016 | Ayan Sinha, Chiho Choi, Karthik Ramani, News

WEST LAFAYETTE, Ind. – Future systems that allow people to interact with virtual environments will require computers to interpret the human hand’s nearly endless variety and complexity of changing motions and joint angles. In virtual and augmented reality, the...
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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

  • 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
  • Authoring instructional flow in iVR learning units to promote outcome-oriented learning

Recent Publications

  • 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
  • Authoring instructional flow in iVR learning units to promote outcome-oriented learning

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

  • 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
  • Authoring instructional flow in iVR learning units to promote outcome-oriented learning

Featured Publications

  • CARING-AI: Towards Authoring Context-aware Augmented Reality INstruction through Generative Artificial Intelligence
  • M2D2M: Multi-Motion Generation from Text with Discrete Diffusion Models
  • avaTTAR: Table Tennis Stroke Training with On-body and Detached Visualization in Augmented Reality
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