2 citations · 4 across the 4 of their papers we have counts for
5 papers
MAgSeg: Segmentation of Agricultural Landscapes in High-Resolution Satellite Imagery using Multimodal Large Language Models
Piyush Tiwary, Utkarsh Ahuja, Depanshu Sani +5
Agricultural landscape segmentation in the Global South is challenging as it is characterized by fragmented plots, high intra-class variance, and a scarcity of labeled training dat…
Farm-Level, In-Season Crop Identification for India
Ishan Deshpande, Amandeep Kaur Reehal, Chandan Nath +20
Accurate, timely, and farm-level crop type information is paramount for national food security, agricultural policy formulation, and economic planning, particularly in agricultural…
WISER: Weak supervISion and supErvised Representation learning to improve drug response prediction in cancer
Kumar Shubham, Aishwarya Jayagopal, Syed Mohammed Danish +2
Cancer, a leading cause of death globally, occurs due to genomic changes and manifests heterogeneously across patients. To advance research on personalized treatment strategies, th…
Personalised Drug Identifier for Cancer Treatment with Transformers using Auxiliary Information
Aishwarya Jayagopal, Hansheng Xue, Ziyang He +7
Cancer remains a global challenge due to its growing clinical and economic burden. Its uniquely personal manifestation, which makes treatment difficult, has fuelled the quest for p…
Multimodal Representation Learning With Text and Images
Aishwarya Jayagopal, Ankireddy Monica Aiswarya, Ankita Garg +1
In recent years, multimodal AI has seen an upward trend as researchers are integrating data of different types such as text, images, speech into modelling to get the best results.…