Dhruv Parikh

Orcid: 0009-0000-6144-3858

According to our database1, Dhruv Parikh authored at least 22 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Can Graphs Help Vision SSMs See Better?
CoRR, May, 2026

Latent Denoising Improves Visual Alignment in Large Multimodal Models.
CoRR, April, 2026

EvoClaw: Evaluating AI Agents on Continuous Software Evolution.
CoRR, March, 2026

Ethical and Explainable AI in Reusable MLOps Pipelines.
CoRR, March, 2026

ConsensusDrop: Fusing Visual and Cross-Modal Saliency for Efficient Vision Language Models.
CoRR, February, 2026

NysX: An Accurate and Energy-Efficient FPGA Accelerator for Hyperdimensional Graph Classification at the Edge.
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.
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.
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.
CoRR, September, 2025

ScalableHD: Scalable and High-Throughput Hyperdimensional Computing Inference on Multi-Core CPUs.
CoRR, June, 2025

Domain Expansion: Parameter-Efficient Modules as Building Blocks for Composite Domains.
CoRR, January, 2025

ClusterViG: Efficient Globally Aware Vision GNNs via Image Partitioning.
CoRR, January, 2025

Vision Transformers for End-to-End Vision-Based Quadrotor Obstacle Avoidance.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Accelerating Dynamic Image Graph Construction on FPGA for Vision GNNs.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2025

Context-Driven Performance Modeling for Causal Inference Operators on Neural Processing Units.
Proceedings of the 32nd IEEE International Conference on High Performance Computing, 2025

Primitive-Driven Acceleration of Hyperdimensional Computing for Real-Time Image Classification.
Proceedings of the 59th Asilomar Conference on Signals, 2025

2024
Vision Transformers for End-to-End Vision-Based Quadrotor Obstacle Avoidance.
CoRR, 2024

VTR: An Optimized Vision Transformer for SAR ATR Acceleration on FPGA.
CoRR, 2024

Benchmarking the Performance of Large Language Models on the Cerebras Wafer Scale Engine.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2024

Accelerating ViT Inference on FPGA through Static and Dynamic Pruning.
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.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

2021
Comparison of Attitude Estimation Algorithms With IMU Under External Acceleration.
Proceedings of the IEEE International Symposium on Smart Electronic Systems, 2021


  Loading...