Author

Partha Sarathi Mukherjee

Observed names: Mukherjee, Partha Sarathi, Partha Mukherjee

Institution: Indian Statistical Institute

Observed institutions: University of Calcutta, Kolkata Municipal Corporation, Antara, ITC (India), Indian Statistical Institute

ORCID: 0000-0003-1655-3534

Observed ORCIDs: 0000-0003-1655-3534, 0000-0002-9254-5416

OpenAlex ID: A5101478043

ClueNet : A Deep Framework for Occluded Pedestrian Pose Estimation.

2019 · Perla Sai Raj Kishore, Sudip Das, et al. · British Machine Vision Conference (BMVC) · 33

A Hybrid Deep Architecture for Robust Recognition of Text Lines of Degraded Printed Documents

2018 · Chandan Biswas, Partha Sarathi Mukherjee, et al. · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · 22

A Hybrid Model for End to End Online Handwriting Recognition

2017 · Partha Sarathi Mukherjee, Bappaditya Chakraborty, et al. · IAPR International Conference on Document Analysis and Recognition (ICDAR) · 20

Bangla online handwriting recognition using recurrent neural network architecture

2016 · Bappaditya Chakraborty, Partha Sarathi Mukherjee, et al. · Indian Conference on Computer Vision, Graphics and Image Processing · 15

A Deep OCR for Degraded Bangla Documents

2022 · Ayan Chaudhury, Partha Sarathi Mukherjee, et al. · ACM Transactions on Asian and Low-Resource Language Information Processing · 10

Upper quantile-based CUSUM-type control chart for detecting small changes in image data

2025 · Anik Roy, Partha Sarathi Mukherjee · Journal of Applied Statistics · 5

Cost‐Effective Voice‐Controlled Real‐Time Smart Informative Interface Design With Google Assistance Technology

2021 · Soumen Santra, Partha Mukherjee, et al. · 5

An Efficient Feature Vector for Segmentation-Free Recognition of Online Cursive Handwriting Based on a Hybrid Deep Neural Network

2018 · Partha Sarathi Mukherjee, Ujjwal Bhattacharya, et al. · IAPR International Workshop on Document Analysis Systems (DAS) · 2

A landmark-based framework for image comparison in the presence of various geometric misalignments

2026 · Anik Roy, Sagar Ghosh, et al. · Computational Statistics & Data Analysis

Seek and You Will Find: A New Optimized Framework for Efficient Detection of Pedestrian

2019 · Das, Sudip, Mukherjee, Partha Sarathi, et al. · arXiv (Cornell University)

PDF

Seek and You Will Find

2018 · Sudip Das, Partha Sarathi Mukherjee, et al. · Indian Conference on Computer Vision, Graphics and Image Processing

Works count: 11

Citation count: 112

H-index: 5

I10-index: 5