Convergence Design Lab, Purdue University
  • Home
  • Our Vision
  • People
    • Team
    • Outreach Team
    • Alumni
      • Yuanzhi Cao
      • Sangpil Kim
      • Ke Huo
      • Yunbo Zhang
      • Chiho Choi
      • Sang Ho Yoon
      • Sujin Jang
      • Joran Booth
      • Cecil Piya
      • Ayan Sinha
      • William Z Bernstein
      • Devarajan Ramanujan
      • Vinayak
      • Senthil Chandrasegaran
      • Wei Gao
      • Pratik Chawla
      • Pawan Rao
      • Yanke Tan
      • Tarun George
      • Ansh Verma
      • Anirudh Sriram
      • Vinh Nguyen
      • Jasjeet Seehra
      • Jeff Alperovich
      • Tanuj Siddharth
      • Adil Can Dai
      • Varna Sharma
  • Publications
    • 2022
    • 2021
    • 2020
    • 2019
    • 2018
    • 2017
    • 2016
    • 2015
    • 2014
    • Earlier Publication
  • News
  • Outreach
  • Courses
    • ME 553
    • ME 444
    • ME 496
  • Spin-offs
Select Page


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...
« Older Entries

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

  • MechARspace: An Authoring System Enabling Bidirectional Binding of Augmented Reality with Toys in Real-time
  • ARnnotate: An Augmented Reality Interface for Collecting Custom Dataset of 3D Hand-Object Interaction Pose Estimation
  • EditAR: A Digital Twin Authoring Environment for Creation of AR/VR and Video Instructions from a Single Demonstration

Recent Publications

  • MechARspace: An Authoring System Enabling Bidirectional Binding of Augmented Reality with Toys in Real-time
  • ARnnotate: An Augmented Reality Interface for Collecting Custom Dataset of 3D Hand-Object Interaction Pose Estimation
  • EditAR: A Digital Twin Authoring Environment for Creation of AR/VR and Video Instructions from a Single Demonstration

Lab News

  • Purdue Table Tennis Club ping-pongs closer to a national title!
  • GesturAR publication receives the Best Paper Honorable Mention Award at UIST 2021!
  • Terrell Glenn earns First Place Price for his presentation at the National GEM Consortium’s 45th Annual Board Meeting and Conference

Featured Publications

  • MechARspace: An Authoring System Enabling Bidirectional Binding of Augmented Reality with Toys in Real-time
  • ARnnotate: An Augmented Reality Interface for Collecting Custom Dataset of 3D Hand-Object Interaction Pose Estimation
  • CHIMERA: Supporting Wearables Development across Multidisciplinary Perspectives
  • Facebook

Designed by Elegant Themes | Powered by WordPress