Vikram Nelvoy Rajendiran

According to our database, Vikram Nelvoy Rajendiran authored at least 10 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Mobile-friendly Image de-noising: Hardware Conscious Optimization for Edge Application.

Srinivas Soumitri Miriyala, Sowmya Vajrala, Hitesh Kumar, Sravanth Kodavanti, Vikram Nelvoy Rajendiran

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Efficient Adapter on Pre-trained Visual Feature Reliance in Medical Visual Question Answering.

Aakansha Mishra, Prateek Keserwani, Vikram Nelvoy Rajendiran, Ashok K. Senapati

Proceedings of the Pattern Recognition - 27th International Conference, 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

Proceedings of the IEEE International Conference on Image Processing, 2024

Edge Deployable Distributed Evolutionary Optimization based Calibration method for Neural Quantization.

Utsav Tiwari, Srinivas Soumitri Miriyala, Vikram Nelvoy Rajendiran

Proceedings of the IEEE International Conference on Acoustics, 2024

Learning Representations from Explainable and Connectionist Approaches for Visual Question Answering.

Aakansha Mishra, Srinivas Soumitri Miriyala, Vikram Nelvoy Rajendiran

Proceedings of the IEEE International Conference on Acoustics, 2024

Mixed Precision Neural Quantization with Multi-Objective Bayesian Optimization for on-Device Deployment.

Srinivas Soumitri Miriyala, P. K. Suhas, Utsav Tiwari, Vikram Nelvoy Rajendiran

Proceedings of the IEEE International Conference on Acoustics, 2024

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

Post Training Mixed Precision Quantization of Neural Networks using First-Order Information.

Arun Chauhan, Utsav Tiwari, Vikram N. R

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Receptive Field Reliant Zero-Cost Proxies for Neural Architecture Search.

Prateek Keserwani, Srinivas Soumitri Miriyala, Vikram Nelvoy Rajendiran, Pradeep N. Shivamurthappa

Proceedings of the IEEE International Conference on Acoustics, 2023

2020

Processor Pipelining Method for Efficient Deep Neural Network Inference on Embedded Devices.

Akshay Parashar, Arun Abraham, Deepak Chaudhary, Vikram Nelvoy Rajendiran

Proceedings of the 27th IEEE International Conference on High Performance Computing, 2020