6 citations · 9 across the 8 of their papers we have counts for
9 papers
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…
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…
GPS-MTM: Capturing Pattern of Normalcy in GPS-Trajectories with self-supervised learning
Umang Garg, Bowen Zhang, Anantajit Subrahmanya +2
Foundation models have driven remarkable progress in text, vision, and video understanding, and are now poised to unlock similar breakthroughs in trajectory modeling. We introduce…
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…
ReeFRAME: Reeb Graph based Trajectory Analysis Framework to Capture Top-Down and Bottom-Up Patterns of Life
Chandrakanth Gudavalli, Bowen Zhang, Connor Levenson +2
In this paper, we present ReeFRAME, a scalable Reeb graph-based framework designed to analyze vast volumes of GPS-enabled human trajectory data generated at 1Hz frequency. ReeFRAME…
ReeSPOT: Reeb Graph Models Semantic Patterns of Normalcy in Human Trajectories
Bowen Zhang, S. Shailja, Chandrakanth Gudavalli +3
This paper introduces ReeSPOT, a novel Reeb graph-based method to model patterns of life in human trajectories (akin to a fingerprint). Human behavior typically follows a pattern o…
CIMGEN: Controlled Image Manipulation by Finetuning Pretrained Generative Models on Limited Data
Chandrakanth Gudavalli, Erik Rosten, Lakshmanan Nataraj +2
Content creation and image editing can benefit from flexible user controls. A common intermediate representation for conditional image generation is a semantic map, that has inform…
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…
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…