19 citations · 19 across the 6 of their papers we have counts for
6 papers
TOC-SR: Task-Optimal Compact diffusion for Image Super Resolution
Sowmya Vajrala, Akshay Bankar, Manjunath Arveti +5
Diffusion models have recently demonstrated strong performance for image restoration tasks, including super-resolution. However, their large model size and iterative sampling proce…
NanoSD: Edge Efficient Foundation Model for Real Time Image Restoration
Subhajit Sanyal, Srinivas Soumitri Miriyala, Akshay Janardan Bankar +7
Latent diffusion models such as Stable Diffusion 1.5 offer strong generative priors that are highly valuable for image restoration, yet their full pipelines remain too computationa…
Multi-Objective Optimization via Wasserstein-Fisher-Rao Gradient Flow
Yinuo Ren, Tesi Xiao, Tanmay Gangwani +4
Multi-objective optimization (MOO) aims to optimize multiple, possibly conflicting objectives with widespread applications. We introduce a novel interacting particle method for MOO…
Think out of the package: Recommending package types for e-commerce shipments
Karthik S. Gurumoorthy, Subhajit Sanyal, Vineet Chaoji
Multiple product attributes like dimensions, weight, fragility, liquid content etc. determine the package type used by e-commerce companies to ship products. Sub-optimal package ty…
eCommerceGAN : A Generative Adversarial Network for E-commerce
Ashutosh Kumar, Arijit Biswas, Subhajit Sanyal
E-commerce companies such as Amazon, Alibaba and Flipkart process billions of orders every year. However, these orders represent only a small fraction of all plausible orders. Expl…
MRNet-Product2Vec: A Multi-task Recurrent Neural Network for Product Embeddings
Arijit Biswas, Mukul Bhutani, Subhajit Sanyal
E-commerce websites such as Amazon, Alibaba, Flipkart, and Walmart sell billions of products. Machine learning (ML) algorithms involving products are often used to improve the cust…