Chandrakanth Gudavalli
YOU?
Author Swipe
View article: ReeMark: Reeb Graphs for Simulating Patterns of Life in Spatiotemporal Trajectories
ReeMark: Reeb Graphs for Simulating Patterns of Life in Spatiotemporal Trajectories Open
Accurately modeling human mobility is critical for urban planning, epidemiology, and traffic management. In this work, we introduce Markovian Reeb Graphs, a novel framework for simulating spatiotemporal trajectories that preserve Patterns …
View article: GPS-MTM: Capturing Pattern of Normalcy in GPS-Trajectories with self-supervised learning
GPS-MTM: Capturing Pattern of Normalcy in GPS-Trajectories with self-supervised learning Open
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 the GPSMasked Trajectory Transformer (GPS-MTM), a foundatio…
View article: ReeFRAME: Reeb Graph based Trajectory Analysis Framework to Capture Top-Down and Bottom-Up Patterns of Life
ReeFRAME: Reeb Graph based Trajectory Analysis Framework to Capture Top-Down and Bottom-Up Patterns of Life Open
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 models Patterns-of-life (PoL) at both the population and i…
View article: WildlifeMapper: Aerial Image Analysis for Multi-Species Detection and Identification
WildlifeMapper: Aerial Image Analysis for Multi-Species Detection and Identification Open
We introduce WildlifeMapper (WM), a flexible model designed to detect, locate, and identify multiple species in aerial imagery. It addresses the limitations of traditional, labor-intensive wildlife population assessments that are central t…
View article: Q-RBSA: high-resolution 3D EBSD map generation using an efficient quaternion transformer network
Q-RBSA: high-resolution 3D EBSD map generation using an efficient quaternion transformer network Open
Gathering 3D material microstructural information is time-consuming, expensive, and energy-intensive. Acquisition of 3D data has been accelerated by developments in serial sectioning instrument capabilities; however, for crystallographic i…
View article: CIMGEN: Controlled Image Manipulation by Finetuning Pretrained Generative Models on Limited Data
CIMGEN: Controlled Image Manipulation by Finetuning Pretrained Generative Models on Limited Data Open
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 information of objects present in the image. When compared to raw…
View article: Resampling Estimation based RPC Metadata Verification in Satellite Imagery
Resampling Estimation based RPC Metadata Verification in Satellite Imagery Open
Recent advances in machine learning and computer vision have made it simple to manipulate a variety of images, including satellite images. Most of the commercially available satellite images go through the process of orthorectification to …
View article: Resampling Estimation based RPC Metadata Verification in Satellite Imagery
Resampling Estimation based RPC Metadata Verification in Satellite Imagery Open
Recent advances in machine learning and computer vision have made it simple to manipulate a variety of images, including satellite images. Most of the commercially available satellite images go through the process of orthorectification to …
View article: SeeTheSeams: Localized Detection of Seam Carving based Image Forgery in Satellite Imagery
SeeTheSeams: Localized Detection of Seam Carving based Image Forgery in Satellite Imagery Open
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 insert/remove roads in a satellite image. This paper proposes…