activity
20132022
most citedMorphological Analusis Of The Left Ventricular Eendocardial Surface Using A Bag-Of-Features Descriptor

1 citations · 1 across the 2 of their papers we have counts for

collaborators

7 papers

cs.RO2022

High-resolution Ecosystem Mapping in Repetitive Environments Using Dual Camera SLAM

Brian M. Hopkinson, Suchendra M. Bhandarkar

Structure from Motion (SfM) techniques are being increasingly used to create 3D maps from images in many domains including environmental monitoring. However, SfM techniques are oft…

cs.CV2018

Matching Disparate Image Pairs Using Shape-Aware ConvNets

Shefali Srivastava, Abhimanyu Chopra, Arun CS Kumar +2

An end-to-end trainable ConvNet architecture, that learns to harness the power of shape representation for matching disparate image pairs, is proposed. Disparate image pairs are de…

cs.CV2018

Deep Spectral Correspondence for Matching Disparate Image Pairs

Arun CS Kumar, Shefali Srivastava, Anirban Mukhopadhyay +1

A novel, non-learning-based, saliency-aware, shape-cognizant correspondence determination technique is proposed for matching image pairs that are significantly disparate in nature.…

cs.CV2017

Local Geometry Inclusive Global Shape Representation

Somenath Das, Suchendra M. Bhandarkar

Knowledge of shape geometry plays a pivotal role in many shape analysis applications. In this paper we introduce a local geometry-inclusive global representation of 3D shapes based…

cs.CV2016

Eye Tracking for Everyone

Kyle Krafka, Aditya Khosla, Petr Kellnhofer +4

From scientific research to commercial applications, eye tracking is an important tool across many domains. Despite its range of applications, eye tracking has yet to become a perv…

cs.CV2016

Automated Image Captioning for Rapid Prototyping and Resource Constrained Environments

Karan Sharma, Arun CS Kumar, Suchendra Bhandarkar

Significant performance gains in deep learning coupled with the exponential growth of image and video data on the Internet have resulted in the recent emergence of automated image…