Snehasis Mukherjee

Snehasis Mukherjee

Shiv Nadar University

H-index: 17

Asia-India

About Snehasis Mukherjee

Snehasis Mukherjee, With an exceptional h-index of 17 and a recent h-index of 15 (since 2020), a distinguished researcher at Shiv Nadar University, specializes in the field of Computer Vision, Image/ Video Processing, Machine Learning and Graphics.

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

An information-rich sampling technique over spatio-temporal CNN for classification of human actions in videos

Autotune: Automatically tuning convolutional neural networks for improved transfer learning

Visual question answering using deep learning: A survey and performance analysis

Autofcl: automatically tuning fully connected layers for handling small dataset

MERANet: Facial micro-expression recognition using 3D residual attention network

Local bit-plane decoded convolutional neural network features for biomedical image retrieval

Measuring photography aesthetics with deep CNNs

Facial expression recognition in the wild, by fusion of deep learnt and hand-crafted features

Snehasis Mukherjee Information

University

Position

India

Citations(all)

1275

Citations(since 2020)

1162

Cited By

363

hIndex(all)

17

hIndex(since 2020)

15

i10Index(all)

23

i10Index(since 2020)

19

Email

University Profile Page

Shiv Nadar University

Google Scholar

View Google Scholar Profile

Snehasis Mukherjee Skills & Research Interests

Computer Vision

Image/ Video Processing

Machine Learning and Graphics

Top articles of Snehasis Mukherjee

Title

Journal

Author(s)

Publication Date

An information-rich sampling technique over spatio-temporal CNN for classification of human actions in videos

Multimedia Tools and Applications

SH Shabbeer Basha

Viswanath Pulabaigari

Snehasis Mukherjee

2022/11

Autotune: Automatically tuning convolutional neural networks for improved transfer learning

Neural Networks

SH Shabbeer Basha

Sravan Kumar Vinakota

Viswanath Pulabaigari

Snehasis Mukherjee

Shiv Ram Dubey

2021/1/1

Visual question answering using deep learning: A survey and performance analysis

Yash Srivastava

Vaishnav Murali

Shiv Ram Dubey

Snehasis Mukherjee

2021

Autofcl: automatically tuning fully connected layers for handling small dataset

Neural Computing and Applications

SH Shabbeer Basha

Sravan Kumar Vinakota

Shiv Ram Dubey

Viswanath Pulabaigari

Snehasis Mukherjee

2021/7

MERANet: Facial micro-expression recognition using 3D residual attention network

Viswanatha Reddy Gajjala

Sai Prasanna Teja Reddy

Snehasis Mukherjee

Shiv Ram Dubey

2021/12/19

Local bit-plane decoded convolutional neural network features for biomedical image retrieval

Neural Computing and Applications

Shiv Ram Dubey

Swalpa Kumar Roy

Soumendu Chakraborty

Snehasis Mukherjee

Bidyut Baran Chaudhuri

2020/6

Measuring photography aesthetics with deep CNNs

IET Image Processing

Gajjala Viswanatha Reddy

Snehasis Mukherjee

Mainak Thakur

2020/6

Facial expression recognition in the wild, by fusion of deep learnt and hand-crafted features

Cognitive Systems Research

G Viswanatha Reddy

CVR Dharma Savarni

Snehasis Mukherjee

2020/8/1

See List of Professors in Snehasis Mukherjee University(Shiv Nadar University)