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DeepHand: Robust Hand Pose Estimation by Completing a Matrix Imputed with Deep Features

DeepHand: Robust Hand Pose Estimation by Completing a Matrix Imputed with Deep Features

by Chiho Choi | Jun 21, 2016 | 2016, Ayan Sinha, Chiho Choi, Karthik Ramani, Recent Publications, Shape Understanding

We propose DeepHand to estimate the 3D pose of a hand using depth data from commercial 3D sensors. We discriminatively train convolutional neural networks to output a low dimensional activation feature given a depth map. This activation feature vector is...
A Collaborative Filtering Approach to Real-Time Hand Pose Estimation

A Collaborative Filtering Approach to Real-Time Hand Pose Estimation

by Chiho Choi | Aug 31, 2015 | 2015, Ayan Sinha, Chiho Choi, Karthik Ramani, Recent Publications, Shape Understanding, Sujin Jang

Collaborative filtering aims to predict unknown user ratings in a recommender system by collectively assessing known user preferences. In this paper, we first draw analogies between collaborative filtering and the pose estimation problem. Specifically, we recast the...
Multiscale Kernels using Random Walks

Multiscale Kernels using Random Walks

by ayan | Jul 10, 2013 | 2013, Ayan Sinha, HUMAN SHAPE INTERACTION, Karthik Ramani, People, Publications, Shape Understanding

ABSTRACT We introduce novel multiscale kernels using the random walk framework and derive corresponding embeddings and pairwise distances. The fractional moments of the rate of continuous time random walk (equivalently diffusion rate) are used to discover higher order...

Ayan’s Publications

by _not_Exist_ | Jun 27, 1999 | Ayan Sinha

Next 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

  • 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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