Dhruv Parikh

According to our database, Dhruv Parikh authored at least 22 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Can Graphs Help Vision SSMs See Better?

Dhruv Parikh, Anvitha Ramachandran, Haoyang Fan, Mustafa Munir, Rajgopal Kannan, Viktor K. Prasanna

CoRR, May, 2026

Latent Denoising Improves Visual Alignment in Large Multimodal Models.

Dhruv Parikh, Jacob Fein-Ashley, Rajgopal Kannan, Viktor K. Prasanna

CoRR, April, 2026

EvoClaw: Evaluating AI Agents on Continuous Software Evolution.

Gangda Deng, Zhaoling Chen, Zhongming Yu, Haoyang Fan, Yuhong Liu, Yuxin Yang, Dhruv Parikh, Rajgopal Kannan, Le Cong, Mengdi Wang, Qian Zhang, Viktor K. Prasanna, Xiangru Tang, Xingyao Wang

CoRR, March, 2026

Ethical and Explainable AI in Reusable MLOps Pipelines.

Rakib Hossain, Mahmood Menon Khan, Lisan Al Amin, Dhruv Parikh, Farhana Afroz, Bestoun S. Ahmed

CoRR, March, 2026

ConsensusDrop: Fusing Visual and Cross-Modal Saliency for Efficient Vision Language Models.

Dhruv Parikh, Haoyang Fan, Rajgopal Kannan, Viktor K. Prasanna

CoRR, February, 2026

NysX: An Accurate and Energy-Efficient FPGA Accelerator for Hyperdimensional Graph Classification at the Edge.

Jebacyril Arockiaraj, Dhruv Parikh, Viktor K. Prasanna

Proceedings of the 2026 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2026

GraphLeap: Decoupling Graph Construction and Convolution for Vision GNN Acceleration on FPGA.

Anvitha Ramachandran, Dhruv Parikh, Viktor K. Prasanna

Proceedings of the 34th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2026

ImageHD: Energy-Efficient On-Device Continual Learning of Visual Representations via Hyperdimensional Computing.

Jebacyril Arockiaraj, Dhruv Parikh, Viktor K. Prasanna

Proceedings of the 34th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2026

2025

Mixture of Thoughts: Learning to Aggregate What Experts Think, Not Just What They Say.

Jacob Fein-Ashley, Dhruv Parikh, Rajgopal Kannan, Viktor K. Prasanna

CoRR, September, 2025

ScalableHD: Scalable and High-Throughput Hyperdimensional Computing Inference on Multi-Core CPUs.

Dhruv Parikh, Viktor K. Prasanna

CoRR, June, 2025

Domain Expansion: Parameter-Efficient Modules as Building Blocks for Composite Domains.

Mann Patel, Divyajyoti Panda, Hilay Mehta, Parth Patel, Dhruv Parikh

CoRR, January, 2025

ClusterViG: Efficient Globally Aware Vision GNNs via Image Partitioning.

Dhruv Parikh, Jacob Fein-Ashley, Tian Ye, Rajgopal Kannan, Viktor K. Prasanna

CoRR, January, 2025

Vision Transformers for End-to-End Vision-Based Quadrotor Obstacle Avoidance.

Anish Bhattacharya, Nishanth Rao, Dhruv Parikh, Pratik Kunapuli, Yuwei Wu, Yuezhan Tao, Nikolai Matni, Vijay Kumar

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Accelerating Dynamic Image Graph Construction on FPGA for Vision GNNs.

Anvitha Ramachandran, Dhruv Parikh, Viktor K. Prasanna

Proceedings of the IEEE High Performance Extreme Computing Conference, 2025

Context-Driven Performance Modeling for Causal Inference Operators on Neural Processing Units.

Neelesh Gupta, Rakshith Jayanth, Dhruv Parikh, Viktor K. Prasanna

Proceedings of the 32nd IEEE International Conference on High Performance Computing, 2025

Primitive-Driven Acceleration of Hyperdimensional Computing for Real-Time Image Classification.

Dhruv Parikh, Jebacyril Arockiaraj, Viktor K. Prasanna

Proceedings of the 59th Asilomar Conference on Signals, 2025

2024

Vision Transformers for End-to-End Vision-Based Quadrotor Obstacle Avoidance.

Anish Bhattacharya, Nishanth Rao, Dhruv Parikh, Pratik Kunapuli, Nikolai Matni, Vijay Kumar

CoRR, 2024

VTR: An Optimized Vision Transformer for SAR ATR Acceleration on FPGA.

Sachini Wickramasinghe, Dhruv Parikh, Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart

CoRR, 2024

Benchmarking the Performance of Large Language Models on the Cerebras Wafer Scale Engine.

Zuoning Zhang, Dhruv Parikh, Youning Zhang, Viktor K. Prasanna

Proceedings of the IEEE High Performance Extreme Computing Conference, 2024

Accelerating ViT Inference on FPGA through Static and Dynamic Pruning.

Dhruv Parikh, Shouyi Li, Bingyi Zhang, Rajgopal Kannan, Carl E. Busart, Viktor K. Prasanna

Proceedings of the 32nd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2024

2023

Performance of Graph Neural Networks for Point Cloud Applications.

Dhruv Parikh, Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart

Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

2021

Comparison of Attitude Estimation Algorithms With IMU Under External Acceleration.

Dhruv Parikh, Sajil Vohra, Maryam Kaveshgar

Proceedings of the IEEE International Symposium on Smart Electronic Systems, 2021