ProfessorsProfessors of Technische Universität MünchenSaptarshi Mitra

Saptarshi Mitra

Technische Universität München

H-index: 4

Europe-Germany

About Saptarshi Mitra

Saptarshi Mitra, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at Technische Universität München, specializes in the field of Computer Architecture, Hardware Accelerator, Embedded Systems, IOT.

His recent articles reflect a diverse array of research interests and contributions to the field:

DeepliteRT: Computer Vision at the Edge

YOLOBench: Benchmarking Efficient Object Detectors on Embedded Systems

DeepGEMM: Accelerated Ultra Low-Precision Inference on CPU Architectures using Lookup Tables

Accelerating and pruning cnns for semantic segmentation on fpga

Accelerating Semantic Image Segmentation on FPGA

Saptarshi Mitra Information

University	Technische Universität München
Position	___
Citations(all)	35
Citations(since 2020)	34
Cited By	17
hIndex(all)	4
hIndex(since 2020)	4
i10Index(all)	2
i10Index(since 2020)	2
Email	Access Email
University Profile Page	Technische Universität München
Google Scholar	View Google Scholar Profile

Saptarshi Mitra Skills & Research Interests

Computer Architecture

Hardware Accelerator

Embedded Systems

IOT

Top articles of Saptarshi Mitra

Title	Journal	Author(s)	Publication Date
DeepliteRT: Computer Vision at the Edge	arXiv preprint arXiv:2309.10878	Saad Ashfaq Alexander Hoffman Saptarshi Mitra Sudhakar Sah MohammadHossein AskariHemmat ...	2023/9/19
YOLOBench: Benchmarking Efficient Object Detectors on Embedded Systems		Ivan Lazarevich Matteo Grimaldi Ravish Kumar Saptarshi Mitra Shahrukh Khan ...	2023
DeepGEMM: Accelerated Ultra Low-Precision Inference on CPU Architectures using Lookup Tables		Darshan C Ganji Saad Ashfaq Ehsan Saboori Sudhakar Sah Saptarshi Mitra ...	2023
Accelerating and pruning cnns for semantic segmentation on fpga		Pierpaolo Morì Manoj-Rohit Vemparala Nael Fasfous Saptarshi Mitra Sreetama Sarkar ...	2022/7/10
Accelerating Semantic Image Segmentation on FPGA		Saptarshi Mitra	2021/7