Faculty at School of Engineering

Snehasis Mukherjee

Snehasis Mukherjee

Associate Professor


Contact Information

  • 05/20-Present, Assistant Professor, Department of Computer Science and Engineering, School of Natural Sciences, Shiv Nadar Institute of Eminence, Delhi-NCR
  • 08/14 - 04/20, Assistant Professor, IIIT SriCity
  • 03/14 - 08/14, Visiting Scientist, Indian Statistical Institute, Calcutta
  • 09/12 - 03/14, Guest Researcher, NIST, Gaithersburg, USA

  • Jaydeep Kishore and Snehasis Mukherjee, Auto CNN Classifier Based on Knowledge Transferred from Self-supervised Model, Applied Intelligence, Springer, DOI: 10.1007/s10489-023-04598-1, 2023.
  • Jaydeep Kishore and Snehasis Mukherjee, Impact of Autotuned Fully Connected Layers on Performance of Self-supervised Models for Image Classification, Machine Intelligence Research, Springer, DOI: 10.1007/s11633-023-1435-7, 2023.
  • SH Shabbeer Basha, Viswanath Pulabaigari and Snehasis Mukherjee, An Information-rich Sampling Technique over Spatio-Temporal CNN for Classification of Human Actions in Videos, Accepted in Multimedia Tools and Applications, Springer, Doi: 10.1007/s11042-022-12856-6, 2022.
  • BSNV Chaitanya and Snehasis Mukherjee, Single Image Dehazing Using Improved CycleGAN, Journal of Visual Communication and Image Representation, Elsevier, Vol. 74, Article 103014, 2021.
  • Shabbeer Basha, Sravan Kumar Vinakota, Shiv Ram Dubey, Viswanath Pulabaigari and Snehasis Mukherjee , AutoFCL: Automatically Tuning Fully Connected Layers for Handling Small Dataset, Neural Computing and Applications, Springer, Vol. 33, No. 13, pp.- 8055-8065, 2021.
  • S.H. Shabbeer Basha, Sravan Kumar Vinakota, Viswanath Pulabaigari, Snehasis Mukherjee and Shiv Ram Dubey, AutoTune: Automatically Tuning Convolutional Neural Networks for Improved Transfer Learning, Neural Network, Elsevier, Vol. 133, pp.- 112-122, 2021.
  • Laisha Wadhwa and Snehasis Mukherjee, Learnable Spatio-Temporal Feature Pyramid for Prediction of Future Optical Flow in Videos, Machine Vision and Applications, Springer, Vol. 32, No. 1, Article 18, 2021.
  • Aravind Babu Jeripothula, Santosh Kumar Velamala, Sunil Kumar Banoth and Snehasis Mukherjee, Blind image quality assessment using a combination of statistical features and CNN, Multimedia Tools and Applications, Springer, Vol. 79, No. 31, pp.- 23243-23260, 2020.
  • G. Viswanatha Reddy, CVR Dharma Savarni and Snehasis Mukherjee, Facial Expression Recognition in the wild, by Fusion of Deep Learnt and Hand-crafted Features, Cognitive Systems Research, Elsevier, Vol. 62, pp.- 23-34, 2020.
  • Kushal Borkar and Snehasis Mukherjee, Single Image Dehazing by Approximating and Eliminating the Additional Airlight Component, Neurocomputing, Elsevier, Vol. 400, pp.- 294-308, 2020.
  • G. Viswanatha Reddy, Snehasis Mukherjee and Mainak Thakur, Measuring Photography Aesthetics with Deep CNNs, IET Image Processing, Vol. 14, No. 8, pp.- 1561-1570, 2020.
  • Snehasis Mukherjee, L. Anvitha and T. Mohana Lahari, Human Activity Recognition in RGB-D Videos by Dynamic Images, Multimedia Tools and Applications, Springer, Vol. 79, No. 27, pp.- 19787-19801, 2020.
  • Shiv Ram Dubey, Soumendu Chakraborty, Swalpa K. Roy, Snehasis Mukherjee, Satish K. Singh, Bidyut B. Chaudhuri, diffGrad: An Optimization Method for Convolutional Neural Networks, IEEE Transactions on Neural Networks and Learning Systems, Vol. 31, No. 11, pp.- 4500-4511, 2020.
  • Shiv Ram Dubey and Snehasis Mukherjee, Ldop: local directional order pattern for robust face retrieval, Multimedia Tools and Applications, Springer, Vol. 79, No. 9, pp.- 6363-6382, 2020.
  • SH Shabbeer Basha, Shiv Ram Dubey, P. Viswanath and Snehasis Mukherjee, Impact of Fully Connected Layers on Performance of Convolutional Neural Networks for Image Classification, Neurocomputing, Elsevier, Vol. 378, pp.- 112-119, 2020.
  • Shiv Ram Dubey, Swalpa Kumar Roy, Soumendu Chakraborty, Snehasis Mukherjee and Bidyut Baran Chaudhuri, Local Bit-plane Decoded Convolutional Neural Network Features for Biomedical Image Retrieval, Neural Computing and Applications, Springer, Vol. 32, No. 11, pp.- 7539-7551, 2020.
  • Pooja Makula, Akshay Kumar and Snehasis Mukherjee, "Measuring Level of Cuteness of Baby Images: A Supervised Learning Scheme", Multimedia Tools and Applications, Springer, Vol. 77, No. 13, pp.- 16867-16885, 2018.
  • Snehasis Mukherjee and Krit Karan Singh, "Human Action and Event Recognition Using A Novel Descriptor Based on Improved Dense Trajectories", Multimedia Tools and Applications, Springer, Vol. 77, No. 11, pp.- 13661-13678, 2018.
  • Snehasis Mukherjee and Dipti Prasad Mukherjee, "A Motion-Based Approach to Detect Persons in Low-Resolution Video", Multimedia Tools and Applications, Springer, Vol. 74, No. 21, pp.- 9475-9490, 2015.
  • Snehasis Mukherjee, Sujoy Kumar Biswas and Dipti Prasad Mukherjee, "Recognizing Interactions Between Human Performers by 'Dominating Pose Doublet'", Machine Vision and Applications, Springer, Vol. 25, No. 4, pp.- 1033-1052, 2014.
  • Snehasis Mukherjee and Dipti Prasad Mukherjee, "A Design-of-experiment Based Statistical Technique for Detection of Key-Frames", Multimedia Tools and Applications, Springer, Vol. 62, No. 3, pp.- 847-877, 2013.
  • Snehasis Mukherjee, Sujoy Kumar Biswas and Dipti Prasad Mukherjee, "Recognizing Human Action at a Distance in Video by Key Poses", IEEE Transactions on Circuits and Systems for Video Technology, Vol. 21, No. 9, pp.- 1228-1241, 2011.

  • Laxman Kumarapu, Shiv Ram Dubey, Snehasis Mukherjee, Parkhi Mohan, Sree Pragna Vinnakoti, Subhash Karthikeya, WSD: Wild Selfie Dataset for Face Recognition in Selfie Images, Proc. of CVIP 2023, Springer CCIS.
  • Anshul Rustogi and Snehasis Mukherjee, Long-term Spatio-temporal Contrastive Learning framework for Skeleton Action Recognition, Proc. of IJCNN(ORAL) 2022, IEEE, Padua, Italy.
  • R.S. Jaisurya and Snehasis Mukherjee, Attention-based Single Image Dehazing Using Improved CycleGAN, Proc. of IJCNN(ORAL) 2022, IEEE, Padua, Italy.
  • Manav Prabhakar and Snehasis Mukherjee, First-person Activity Recognition by Modelling Subject-Action Relevance, Proc. of IJCNN(ORAL) 2022, IEEE, Padua, Italy.
  • Viswanatha Reddy Gajjala, Sai Prasanna Teja Reddy, Snehasis Mukherjee, Shiv Ram Dubey, MERANet: Facial Micro-Expression Recognition using 3D Residual Attention Network, Proc. of ICVGIP(ORAL) 2021, ACM, IIT Jodhpur.
  • Hareesh Devarakonda and Snehasis Mukherjee, Early Prediction of Human Action by Deep Reinforcement Learning, Proc. of NCC 2021, IEEE, IIT Kanpur.
  • Snehasis Mukherjee and Chirumamilla Nagalakshmi, Human Action Recognition from 3D Landmark Points of the Performer, Proc. of CVIP 2020, Springer CCIS 1377, pp.- 39-49.
  • Sri Girinadh Tanneru and Snehasis Mukherjee, Action Recognition in Haze Using an Efficient Fusion of Spatial and Temporal Features, Proc. of CVIP 2020, Springer CCIS 1377, pp.- 29-38.
  • Yash Srivastava, Vaishnav Murali, Shiv Ram Dubey and Snehasis Mukherjee, Visual Question Answering Using Deep Learning: A Survey and Performance Analysis, Proc. of CVIP 2020, Springer CCIS 1377, pp.- 75-86.
  • Ravi Kumar Thakur and Snehasis Mukherjee, A Conditional Adversarial Network for Scene Flow Estimation, Proc. of IEEE RO-MAN 2019, New Delhi, India.
  • Sai Prasanna Teja Reddy Bogireddy, Karri Surya Teja, Shiv Ram Dubey and Snehasis Mukherjee, Spontaneous Facial Micro-Expression Recognition using 3D Spatiotemporal Convolutional Neural Networks, Proc. of IJCNN 2019, Budapest, Hungery, IEEE.
  • Ch. Nagalakshmi and Snehasis Mukherjee, Classification of Yoga Asana from Single Image by Learning 3D View of Human Pose, Proc. of WDH@ICVGIP 2018, IIIT Hyderabad, Springer LNCS.
  • Kushal Borkar and Snehasis Mukherjee, Video Dehazing Using LMNN with Respect to Augmented MRF, Proc. of ICVGIP 2018, IIIT Hyderabad, ACM, pp.- 42:1-42:9.
  • K. Sai Suma, Gedela Aditya and Snehasis Mukherjee, Activity Recognition in Egocentric Videos Using Bag of Key Action Units, Proc. of ICVGIP 2018, IIIT Hyderabad, ACM, pp.- 9:1-9:9.
  • Ravi Kumar Thakur and Snehasis Mukherjee, SceneEDNet: A Deep Learning Approach for Scene Flow Estimation, Proc. of ICARCV 2018, Singapore, IEEE, pp.- 394-399.
  • Shiv Ram Dubey and Snehasis Mukherjee, A Multi-Face Challenging Dataset for Robust Face Recognition, Proc. of ICARCV 2018, Singapore, IEEE, pp.- 175-180.
  • S.H. Shabbeer Basha, Soumen Ghosh, K. Kishan Babu, Shiv Ram Dubey, P. Viswanath and Snehasis Mukherjee, RCCNet: An Efficient Convolutional Neural Network for Histological Routine Colon Cancer Nuclei Classification, Proc. of ICARCV 2018, Singapore, IEEE, pp.- 1222-1227.
  • Krit Karan Singh and Snehasis Mukherjee, "Recognizing Human Activities in Videos Using Improved Dense Trajectories Over LSTM", Proc. of NCVPRIPG 2017, IIT Mandi, CCIS volume 841, pp.- 78-88.
  • Snehasis Mukherjee, Bandla Vamshi, K.V. Sai Vineeth Kumar Reddy, Repala Vamshi Krishna and S.V.S. Harish, "Recognizing Facial Expressions Using Novel Motion Based Features", Proc. of ICVGIP 2016, IIT Guwahati, ACM, pp.- 32:1-32:8.
  • Vinodh Buddubariki, Sunitha Gowd Tulluri and Snehasis Mukherjee, "Event Recognition in Egocentric Videos Using a Novel Trajectory Based Feature", Proc. of ICVGIP 2016, IIT Guwahati, ACM, pp.- 76:1-76:8.
  • Vinodh Buddubariki, Sunitha Gowd Tulluri and Snehasis Mukherjee, "Multiple Object Tracking by Improved KLT Tracker Over SURF Features", Proc. of NCVPRIPG 2015, IIT Patna, IEEE Computer Society.
  • Snehasis Mukherjee, Apurbaa  Mallik and Dipti Prasad Mukherjee, "Human Action Recognition Using Dominant Motion Pattern", Proc. of ICVS 2015, Copenhagen, Denmark, LNCS volume 9163, pp.- 477-487.
  • Snehasis Mukherjee, "Human Action Recognition Using Dominant Pose Duplet", Proc. of ICVS 2015, Copenhagen, Denmark, LNCS volume 9163, pp.- 488-497.
  • Snehasis Mukherjee, Sujoy Kumar Biswas and Dipti Prasad Mukherjee, "Recognizing Interaction Between Human Performers Using 'Key Pose Doublet'", Proc. of ACM Multimedia (ACM MM) 2011, Scottsdale, Arizona, USA, pp.- 1329-1332.
  • Snehasis Mukherjee, Sujoy Kumar Biswas and Dipti Prasad Mukherjee, "Human Action Recognition in Video by 'Meaningful' Poses", Proc. of ICVGIP(ORAL) 2010, Chennai, India, ACM Digital Library, pp.- 9-16.
  • Snehasis Mukherjee, Sujoy Kumar Biswas and Dipti Prasad Mukherjee, "Modeling Sense Disambiguation of Human Pose: Recognizing Action at a Distance by Key Poses", Proc. of ACCV(ORAL) 2010, Queenstown, New Zealand, LNCS volume 6492, pp.- 244-255.
  • Snehasis Mukherjee and Dipti Prasad Mukherjee, "Tracking Multiple Circular Objects in Video Using Helmholtz Principle", Proc. of ICAPR 2009, Kolkata (ISI), India, IEEE, pp.- 290-293.
  • Snehasis Mukherjee and Dipti Prasad Mukherjee, "Segmentation of Circular and Rectangular Shapes in an Image Using Helmholtz Principle", Proc. of ICVGIP 2008, Bhubaneswar, India, IEEE, pp.- 657-664.

  • Invited Talk (1 hour) on “Egocentric Activity Recognition using Subject Action Relevance” at Indian Statistical Institute, Calcutta, as part of Eighth Summer School on Computational Intelligence; 15th June, 2023.
  • Invited talk (1 hour) on “Engineering on Supervised Network for Training with Less Data” at Indian Institute of Technology Madras (IIT Madras), Department of Mathematics; 13th April, 2023.
  • Invited talk (1 hour) on “Egocentric Activity Recognition” at Chennai Mathematical Institute (CMI); 3rd March, 2023.
  • Invited talk (1 and half hour) on "Basics of Machine Learning: A Possible Tool for Agriculture" at SERB funded Workshop on Agricultural Water Management in the Backdrop of Climate Change using Remote Sensing, GIS, and IoT Techniques, held in Shiv Nadar University, Delhi NCR; 26th July, 2022.
  • Invited talk (1 hour) on "Egocentric Activity Recognition" at Vehant Technologies Noida; 10th December, 2021.
  • AICTE Training and Learning (ATAL) Academy Sponsored Online Faculty Development Program (FDP) on Principles of Artificial Intelligence, Machine Learning, and Deep Learning; Organized by University of Mysore; Title: Motion Analysis and Prediction (2 hours), 28th November, 2021.
  • Invited talk (1 hour) on “Human Action Recognition and Prediction” at Chennai Mathematical Institute (CMI); 6th March, 2020.

  • “Smart Surveillance Based Recognition and Prediction of Ongoing Events in Videos Using Depth Information”, Funded by: DST-SERB, Govt. of India; Duration: 3 years; Budget: 15.5 lacs
  • Consultancy with HCL from 01/23 to 05/23.

  • Associate Editor for the Journal SN Computer Science
  • Edited: Snehasis Mukherjee, Suvadip Mukherjee, Dipti Prasad Mukherjee, Jayanthi Sivaswamy, Suyash P. Awate, Srirangaraj Setlur, Anoop M. Namboodiri, Santanu Chaudhury: Computer Vision, Graphics, and Image Processing - ICVGIP 2016 Satellite Workshops, WCVA, DAR, and MedImage, Guwahati, December 19, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10481, Springer 2017, ISBN 978-3-319-68123-8.
  • Reviewer of the following journals:
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Neural Network and Learning Systems
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Cybernatics
  • IEEE Transactions on Human-Machine Systems
  • IEEE Transactions on Emerging Topics in Computational Intelligence
  • IEEE Transactions on Network Science and Engineering
  • IEEE Computational Intelligence Magazine
  • IEEE Sensors Journal
  • IEEE Access
  • Pattern Recognition (Elsevier)
  • Neural Network (Elsevier)
  • Computer Vision and Image Understanding (Elsevier)
  • Neurocomputing (Elsevier)
  • Image and Vision Computing (Elsevier)
  • Journal of Visual Communication and Image Representation (Elsevier)
  • Expert Systems With Applications (Elsevier)
  • Pattern Recognition Letters (Elsevier)
  • Computer Methods and Programs in Biomedicine (Elsevier)
  • Journal of Computational Science (Elsevier)
  • Computers and Electronics in Agriculture (Elsevier)
  • Powder Technology (Elsevier)
  • Artificial Intelligence Review (Springer)
  • Neural Processing Letters (Springer)
  • Multimedia Tools and Applications (Springer)
  • Multimedia Systems (Springer)
  • IET Computer Vision
  • IET Image Processing
  • IET Electronics Letters
  • PLOS One
  • ETRI Journal
  • SADHANA Journal (Springer)
  • Reviewer of several prestigious international conferences like WACV, ICARCV, ICIP, ICPR, ACPR, ACCV, ICVGIP and many other
  • Program Co-chair of the second Workshop on Computer Vision Applications (WCVA) 2016 held in conjunction with ICVGIP 2016 in IIT Guwahati.
  • Program Committee Member at HADCV 2019, 2020, 2021, 2022 Workshops associated with the WACV 2019, 2020, 2021, 2022 Conferences organized by NIST, USA.
  • Session Chair at ICVGIP 2018 held in IIIT Hyderabad.
  • Session Chair at NCVPRIPG 2017 held in IIT Mandi.
  • Session Chair at ICARCV 2018 held in Singapore.
  • Session Chair at CVIP 2021 held in IIT Ropar.
  • Senior Member, IEEE