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papers

Publications (22)

math.AT2016

A Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams

Rushil Anirudh, Vinay Venkataraman, Karthikeyan Natesan Ramamurthy +1

cs.CV2019

Geometry of Deep Generative Models for Disentangled Representations

Ankita Shukla, Shagun Uppal, Sarthak Bhagat +2

cs.CV2014

Interactively Test Driving an Object Detector: Estimating Performance on Unlabeled Data

Rushil Anirudh, Pavan Turaga

cs.CV2016

Fast Integral Image Estimation at 1% measurement rate

Kuldeep Kulkarni, Pavan Turaga

cs.CV2018

An Optical Flow-Based Approach for Minimally-Divergent Velocimetry Data Interpolation

Berkay Kanberoglu, Dhritiman Das, Priya Nair +2

cs.CV2016

Diversity Promoting Online Sampling for Streaming Video Summarization

Rushil Anirudh, Ahnaf Masroor, Pavan Turaga

cs.CV2018

Rate-Adaptive Neural Networks for Spatial Multiplexers

Suhas Lohit, Rajhans Singh, Kuldeep Kulkarni +1

cs.CV2018

Compressive Light Field Reconstructions using Deep Learning

Mayank Gupta, Arjun Jauhari, Kuldeep Kulkarni +3

cs.CV2017

Learning Invariant Riemannian Geometric Representations Using Deep Nets

Suhas Lohit, Pavan Turaga

cs.CG2016

Persistent Homology of Attractors For Action Recognition

Vinay Venkataraman, Karthikeyan Natesan Ramamurthy, Pavan Turaga

cs.CV2019

Non-Parametric Priors For Generative Adversarial Networks

Rajhans Singh, Pavan Turaga, Suren Jayasuriya +2

cs.CV2019

Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning

Ankita Shukla, Sarthak Bhagat, Shagun Uppal +2

cs.CV2018

CS-VQA: Visual Question Answering with Compressively Sensed Images

Li-Chi Huang, Kuldeep Kulkarni, Anik Jha +3

cs.CV2019

Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping

Suhas Lohit, Qiao Wang, Pavan Turaga

cs.CV2015

Geometry-based Adaptive Symbolic Approximation for Fast Sequence Matching on Manifolds

Rushil Anirudh, Pavan Turaga

cs.CV2018

Multiple Subspace Alignment Improves Domain Adaptation

Kowshik Thopalli, Rushil Anirudh, Jayaraman J. Thiagarajan +1

cs.CV2017

Convolutional Neural Networks for Non-iterative Reconstruction of Compressively Sensed Images

Suhas Lohit, Kuldeep Kulkarni, Ronan Kerviche +2

cs.CV2018

Perturbation Robust Representations of Topological Persistence Diagrams

Anirudh Som, Kowshik Thopalli, Karthikeyan Natesan Ramamurthy +3

cs.CV2016

Elastic Functional Coding of Riemannian Trajectories

Rushil Anirudh, Pavan Turaga, Jingyong Su +1

cs.CV2016

Shape Distributions of Nonlinear Dynamical Systems for Video-based Inference

Vinay Venkataraman, Pavan Turaga

cs.CV2016

ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Random Measurements

Kuldeep Kulkarni, Suhas Lohit, Pavan Turaga +2

cs.CV2015

Reconstruction-free action inference from compressive imagers

Kuldeep Kulkarni, Pavan Turaga