4 citations · 8 across the 8 of their papers we have counts for
11 papers
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…
OPAM: Online Purchasing-behavior Analysis using Machine learning
Sohini Roychowdhury, Ebrahim Alareqi, Wenxi Li
Customer purchasing behavior analysis plays a key role in developing insightful communication strategies between online vendors and their customers. To support the recent increase…
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…
Categorizing Online Shopping Behavior from Cosmetics to Electronics: An Analytical Framework
Sohini Roychowdhury, Wenxi Li, Ebrahim Alareqi +3
A success factor for modern companies in the age of Digital Marketing is to understand how customers think and behave based on their online shopping patterns. While the conventiona…