1 citations · 1 across the 7 of their papers we have counts for
7 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…
Click2Graph: Interactive Panoptic Video Scene Graphs from a Single Click
Raphael Ruschel, Hardikkumar Prajapati, Awsafur Rahman +1
State-of-the-art Video Scene Graph Generation (VSGG) systems provide structured visual understanding but operate as closed, feed-forward pipelines with no ability to incorporate hu…
A Lightweight CNN-Attention-BiLSTM Architecture for Multi-Class Arrhythmia Classification on Standard and Wearable ECGs
Vamsikrishna Thota, Hardik Prajapati, Yuvraj Joshi +1
Early and accurate detection of cardiac arrhythmias is vital for timely diagnosis and intervention. We propose a lightweight deep learning model combining 1D Convolutional Neural N…
Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation
Raphael Ruschel, Md Awsafur Rahman, Hardik Prajapati +2
Understanding video content is pivotal for advancing real-world applications like activity recognition, autonomous systems, and human-computer interaction. While scene graphs are a…
A Tiny Machine Learning Model for Point Cloud Object Classification
Min Zhang, Jintang Xue, Pranav Kadam +3
The design of a tiny machine learning model, which can be deployed in mobile and edge devices, for point cloud object classification is investigated in this work. To achieve this o…
S3I-PointHop: SO(3)-Invariant PointHop for 3D Point Cloud Classification
Pranav Kadam, Hardik Prajapati, Min Zhang +3
Many point cloud classification methods are developed under the assumption that all point clouds in the dataset are well aligned with the canonical axes so that the 3D Cartesian po…