5 citations · 9 across the 4 of their papers we have counts for
9 papers
Scalable Pathogen Detection from Next Generation DNA Sequencing with Deep Learning
Sai Narayanan, Sathyanarayanan N. Aakur, Priyadharsini Ramamurthy +3
Next-generation sequencing technologies have enhanced the scope of Internet-of-Things (IoT) to include genomics for personalized medicine through the increased availability of an a…
Iterative Scene Graph Generation with Generative Transformers
Sanjoy Kundu, Sathyanarayanan N. Aakur
Scene graphs provide a rich, structured representation of a scene by encoding the entities (objects) and their spatial relationships in a graphical format. This representation has…
A Rich Recipe Representation as Plan to Support Expressive Multi Modal Queries on Recipe Content and Preparation Process
Vishal Pallagani, Priyadharsini Ramamurthy, Vedant Khandelwal +4
Food is not only a basic human necessity but also a key factor driving a society's health and economic well-being. As a result, the cooking domain is a popular use-case to demonstr…
MG-NET: Leveraging Pseudo-Imaging for Multi-Modal Metagenome Analysis
Sathyanarayanan N. Aakur, Sai Narayanan, Vineela Indla +3
The emergence of novel pathogens and zoonotic diseases like the SARS-CoV-2 have underlined the need for developing novel diagnosis and intervention pipelines that can learn rapidly…
Genome Sequence Classification for Animal Diagnostics with Graph Representations and Deep Neural Networks
Sai Narayanan, Akhilesh Ramachandran, Sathyanarayanan N. Aakur +1
Bovine Respiratory Disease Complex (BRDC) is a complex respiratory disease in cattle with multiple etiologies, including bacterial and viral. It is estimated that mortality, morbid…
Action Localization through Continual Predictive Learning
Sathyanarayanan N. Aakur, Sudeep Sarkar
The problem of action recognition involves locating the action in the video, both over time and spatially in the image. The dominant current approaches use supervised learning to s…