4 citations · 12 across the 14 of their papers we have counts for
9 papers · 1 filter
Semi-supervised and Deep learning Frameworks for Video Classification and Key-frame Identification
Sohini Roychowdhury
Automating video-based data and machine learning pipelines poses several challenges including metadata generation for efficient storage and retrieval and isolation of key-frames fo…
Video-Data Pipelines for Machine Learning Applications
Sohini Roychowdhury, James Y. Sato
Data pipelines are an essential component for end-to-end solutions that take machine learning algorithms to production. Engineering data pipelines for video-sequences poses several…
SISE-PC: Semi-supervised Image Subsampling for Explainable Pathology
Sohini Roychowdhury, Kwok Sun Tang, Mohith Ashok +1
Although automated pathology classification using deep learning (DL) has proved to be predictively efficient, DL methods are found to be data and compute cost intensive. In this wo…
Cirrus: A Long-range Bi-pattern LiDAR Dataset
Ze Wang, Sihao Ding, Ying Li +7
In this paper, we introduce Cirrus, a new long-range bi-pattern LiDAR public dataset for autonomous driving tasks such as 3D object detection, critical to highway driving and timel…
Few Shot Learning Framework to Reduce Inter-observer Variability in Medical Images
Sohini Roychowdhury
Most computer aided pathology detection systems rely on large volumes of quality annotated data to aid diagnostics and follow up procedures. However, quality assuring large volumes…
FuSSI-Net: Fusion of Spatio-temporal Skeletons for Intention Prediction Network
Francesco Piccoli, Rajarathnam Balakrishnan, Maria Jesus Perez +13
Pedestrian intention recognition is very important to develop robust and safe autonomous driving (AD) and advanced driver assistance systems (ADAS) functionalities for urban drivin…