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20162022
most citedPCAMs: Weakly Supervised Semantic Segmentation Using Point Supervision

11 citations · 54 across the 19 of their papers we have counts for

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cs.CV2021

SeeTheSeams: Localized Detection of Seam Carving based Image Forgery in Satellite Imagery

Chandrakanth Gudavalli, Erik Rosten, Lakshmanan Nataraj +2

Seam carving is a popular technique for content aware image retargeting. It can be used to deliberately manipulate images, for example, change the GPS locations of a building or in…

cs.CV2021

Holistic Image Manipulation Detection using Pixel Co-occurrence Matrices

Lakshmanan Nataraj, Michael Goebel, Tajuddin Manhar Mohammed +2

Digital image forensics aims to detect images that have been digitally manipulated. Realistic image forgeries involve a combination of splicing, resampling, region removal, smoothi…

cs.CV20201 cited

StressNet: Detecting Stress in Thermal Videos

Satish Kumar, A S M Iftekhar, Michael Goebel +7

Precise measurement of physiological signals is critical for the effective monitoring of human vital signs. Recent developments in computer vision have demonstrated that signals su…

cs.CV2020

Semi supervised segmentation and graph-based tracking of 3D nuclei in time-lapse microscopy

S. Shailja, Jiaxiang Jiang, B. S. Manjunath

We propose a novel weakly supervised method to improve the boundary of the 3D segmented nuclei utilizing an over-segmented image. This is motivated by the observation that current…

cs.CV2020

Exploiting Context for Robustness to Label Noise in Active Learning

Sudipta Paul, Shivkumar Chandrasekaran, B. S. Manjunath +1

Several works in computer vision have demonstrated the effectiveness of active learning for adapting the recognition model when new unlabeled data becomes available. Most of these…

cs.CV20202 cited

3DMaterialGAN: Learning 3D Shape Representation from Latent Space for Materials Science Applications

Devendra K. Jangid, Neal R. Brodnik, Amil Khan +4

In the field of computer vision, unsupervised learning for 2D object generation has advanced rapidly in the past few years. However, 3D object generation has not garnered the same…