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20212026
most citedSeam Carving Detection and Localization using Two-Stage Deep Neural Networks

6 citations · 9 across the 8 of their papers we have counts for

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cs.CV2026

Hyperspectral Trajectory Image for Multi-Month Trajectory Anomaly Detection

Md Awsafur Rahman, Chandrakanth Gudavalli, Hardik Prajapati +1

Trajectory anomaly detection underpins applications from fraud detection to urban mobility analysis. Dense GPS preserves fine-grained evidence such as abnormal speeds and short-dur…

cs.CV2026

Wrivinder: Towards Spatial Intelligence for Geo-locating Ground Images onto Satellite Imagery

Chandrakanth Gudavalli, Tajuddin Manhar Mohammed, Abhay Yadav +6

Aligning ground-level imagery with geo-registered satellite maps is crucial for mapping, navigation, and situational awareness, yet remains challenging under large viewpoint gaps o…

cs.CV2025

Markovian Reeb Graphs for Simulating Spatiotemporal Patterns of Life

Anantajit Subrahmanya, Chandrakanth Gudavalli, Connor Levenson +1

Accurately modeling human mobility is critical for urban planning, epidemiology, and traffic management. In this work, we introduce Markovian Reeb Graphs, a novel framework that tr…

cs.CV2021★ 6 cited

Seam Carving Detection and Localization using Two-Stage Deep Neural Networks

Lakshmanan Nataraj, Chandrakanth Gudavalli, Tajuddin Manhar Mohammed +2

Seam carving is a method to resize an image in a content aware fashion. However, this method can also be used to carve out objects from images. In this paper, we propose a two-step…

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…