9 citations · 9 across the 4 of their papers we have counts for
4 papers
Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models
Srinivas Soumitri Miriyala, Sowmya Vajrala, Sravanth Kodavanti +2
We propose a modular framework for hybrid image restoration that integrates transformer and state-space model (SSM) blocks with a focus on improving runtime efficiency on edge hard…
Unlocking the Edge deployment and ondevice acceleration of multi-LoRA enabled one-for-all foundational LLM
Sravanth Kodavanti, Sowmya Vajrala, Srinivas Miriyala +13
Deploying large language models (LLMs) on smartphones poses significant engineering challenges due to stringent constraints on memory, latency, and runtime flexibility. In this wor…
Mobile-friendly Image de-noising: Hardware Conscious Optimization for Edge Application
Srinivas Miriyala, Sowmya Vajrala, Hitesh Kumar +2
Image enhancement is a critical task in computer vision and photography that is often entangled with noise. This renders the traditional Image Signal Processing (ISP) ineffective c…
A Generalized Zero-Shot Quantization of Deep Convolutional Neural Networks via Learned Weights Statistics
Prasen Kumar Sharma, Arun Abraham, Vikram Nelvoy Rajendiran
Quantizing the floating-point weights and activations of deep convolutional neural networks to fixed-point representation yields reduced memory footprints and inference time. Recen…