1 citations · 1 across the 4 of their papers we have counts for
4 papers
Impact of Iterative Fine-Tuning on Transcription Accuracy in Complex Historical Sanskrit Manuscripts
Kartik Chincholikar, Kaushik Gopalan, Mihir Hasabnis
Digitizing the text from handwritten historical manuscripts is required to make them easily accessible, preservable, and to enable historical scholars to study them in new ways. Hi…
Computationally-efficient deep learning models for nowcasting of precipitation: A solution for the Weather4cast 2025 challenge
Anushree Bhuskute, Kaushik Gopalan, Jeet Shah
This study presents a transfer-learning framework based on Convolutional Gated Recurrent Units (ConvGRU) for short-term rainfall prediction in the Weather4Cast 2025 competition. A…
A Comparison of Lightweight Deep Learning Models for Particulate-Matter Nowcasting in the Indian Subcontinent & Surrounding Regions
Ansh Kushwaha, Kaushik Gopalan
This paper is a submission for the Weather4Cast~2025 complementary Pollution Task and presents an efficient framework for 6-hour lead-time nowcasting of PM, PM, and PM$…
A conditional Generative Adversarial network model for the Weather4Cast 2024 Challenge
Atharva Deshpande, Kaushik Gopalan, Jeet Shah +1
This study explores the application of deep learning for rainfall prediction, leveraging the Spinning Enhanced Visible and Infrared Imager (SEVIRI) High rate information transmissi…