Processor Pipelining Method for Efficient Deep Neural Network Inference on Embedded Devices. - Akshay Parashar; Arun Abraham; Deepak Chaudhary; Vikram Nelvoy Rajendiran (HiPC, 2020)

Receptive Field Reliant Zero-Cost Proxies for Neural Architecture Search. - Prateek Keserwani; Srinivas Soumitri Miriyala; Vikram Nelvoy Rajendiran; Pradeep N. Shivamurthappa (ICASSP, 2023)

Post Training Mixed Precision Quantization of Neural Networks using First-Order Information. - Arun Chauhan 004; Utsav Tiwari; Vikram N. R (ICCV (Workshops), 2023)

A Generalized Zero-Shot Quantization of Deep Convolutional Neural Networks Via Learned Weights Statistics. - Prasen Kumar Sharma; Arun Abraham; Vikram Nelvoy Rajendiran (IEEE Trans. Multim., 2023)

Mixed Precision Neural Quantization with Multi-Objective Bayesian Optimization for on-Device Deployment. - Srinivas Soumitri Miriyala; P. K. Suhas; Utsav Tiwari; Vikram Nelvoy Rajendiran (ICASSP, 2024)

Learning Representations from Explainable and Connectionist Approaches for Visual Question Answering. - Aakansha Mishra; Srinivas Soumitri Miriyala; Vikram Nelvoy Rajendiran (ICASSP, 2024)

Edge Deployable Distributed Evolutionary Optimization based Calibration method for Neural Quantization. - Utsav Tiwari; Srinivas Soumitri Miriyala; Vikram Nelvoy Rajendiran (ICASSP, 2024)

Efficient Visual Question Answering on Embedded Devices: Cross-Modality Attention With Evolutionary Quantization. - Aakansha Mishra; Aditya Agarwala; Utsav Tiwari; Vikram Nelvoy Rajendiran; Srinivas Soumitri Miriyala (ICIP, 2024)

Efficient Adapter on Pre-trained Visual Feature Reliance in Medical Visual Question Answering. - Aakansha Mishra; Prateek Keserwani; Vikram Nelvoy Rajendiran; Ashok K. Senapati (ICPR (28), 2024)

Mobile-friendly Image de-noising: Hardware Conscious Optimization for Edge Application. - Srinivas Soumitri Miriyala; Sowmya Vajrala; Hitesh Kumar; Sravanth Kodavanti; Vikram Nelvoy Rajendiran (ICASSP, 2025)