6 citations · 8 across the 7 of their papers we have counts for
7 papers
Two eyes, Two views, and finally, One summary! Towards Multi-modal Multi-tasking Knowledge-Infused Medical Dialogue Summarization
Anisha Saha, Abhisek Tiwari, Sai Ruthvik +1
We often summarize a multi-party conversation in two stages: chunking with homogeneous units and summarizing the chunks. Thus, we hypothesize that there exists a correlation betwee…
FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging
Pranab Sahoo, Ashutosh Tripathi, Sriparna Saha +1
Despite recent advancements in federated learning (FL) for medical image diagnosis, addressing data heterogeneity among clients remains a significant challenge for practical implem…
An EcoSage Assistant: Towards Building A Multimodal Plant Care Dialogue Assistant
Mohit Tomar, Abhisek Tiwari, Tulika Saha +2
In recent times, there has been an increasing awareness about imminent environmental challenges, resulting in people showing a stronger dedication to taking care of the environment…
Experience and Evidence are the eyes of an excellent summarizer! Towards Knowledge Infused Multi-modal Clinical Conversation Summarization
Abhisek Tiwari, Anisha Saha, Sriparna Saha +2
With the advancement of telemedicine, both researchers and medical practitioners are working hand-in-hand to develop various techniques to automate various medical operations, such…
Few-shot Anomaly Detection in Text with Deviation Learning
Anindya Sundar Das, Aravind Ajay, Sriparna Saha +1
Most current methods for detecting anomalies in text concentrate on constructing models solely relying on unlabeled data. These models operate on the presumption that no labeled an…
Large Scale Multi-Lingual Multi-Modal Summarization Dataset
Yash Verma, Anubhav Jangra, Raghvendra Kumar +1
Significant developments in techniques such as encoder-decoder models have enabled us to represent information comprising multiple modalities. This information can further enhance…