5 citations · 9 across the 8 of their papers we have counts for
9 papers
RareSpot+: A Benchmark, Model, and Active Learning Framework for Small and Rare Wildlife in Aerial Imagery
Bowen Zhang, Jesse T. Boulerice, Charvi Mendiratta +4
Automated wildlife monitoring from aerial imagery is vital for conservation but remains limited by two persistent challenges: the difficulty of detecting small, rare species and th…
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…
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…
RareSpot: Spotting Small and Rare Wildlife in Aerial Imagery with Multi-Scale Consistency and Context-Aware Augmentation
Bowen Zhang, Jesse T. Boulerice, Nikhil Kuniyil +4
Automated detection of small and rare wildlife in aerial imagery is crucial for effective conservation, yet remains a significant technical challenge. Prairie dogs exemplify this i…
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…
SPAM: Signal Processing to Analyze Malware
Lakshmanan Nataraj, B. S. Manjunath
In this article, we explored orthogonal methods to analyze malware motivated by signal and image processing. Malware samples are represented as images or signals. Image and signal-…