62 citations · 245 across the 42 of their papers we have counts for
7 papers · 1 filter
Diversity Promoting Online Sampling for Streaming Video Summarization
Rushil Anirudh, Ahnaf Masroor, Pavan Turaga
Many applications benefit from sampling algorithms where a small number of well chosen samples are used to generalize different properties of a large dataset. In this paper, we use…
A Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams
Rushil Anirudh, Vinay Venkataraman, Karthikeyan Natesan Ramamurthy +1
Topological data analysis is becoming a popular way to study high dimensional feature spaces without any contextual clues or assumptions. This paper concerns itself with one popula…
Persistent Homology of Attractors For Action Recognition
Vinay Venkataraman, Karthikeyan Natesan Ramamurthy, Pavan Turaga
In this paper, we propose a novel framework for dynamical analysis of human actions from 3D motion capture data using topological data analysis. We model human actions using the to…
Elastic Functional Coding of Riemannian Trajectories
Rushil Anirudh, Pavan Turaga, Jingyong Su +1
Visual observations of dynamic phenomena, such as human actions, are often represented as sequences of smoothly-varying features . In cases where the feature spaces can be structur…
Shape Distributions of Nonlinear Dynamical Systems for Video-based Inference
Vinay Venkataraman, Pavan Turaga
This paper presents a shape-theoretic framework for dynamical analysis of nonlinear dynamical systems which appear frequently in several video-based inference tasks. Traditional ap…
Fast Integral Image Estimation at 1% measurement rate
Kuldeep Kulkarni, Pavan Turaga
We propose a framework called ReFInE to directly obtain integral image estimates from a very small number of spatially multiplexed measurements of the scene without iterative recon…
ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Random Measurements
Kuldeep Kulkarni, Suhas Lohit, Pavan Turaga +2
The goal of this paper is to present a non-iterative and more importantly an extremely fast algorithm to reconstruct images from compressively sensed (CS) random measurements. To t…