Faculty at School of Engineering

Snehasis Mukherjee

Snehasis Mukherjee

Associate Professor

School of Engineering


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

Machine Learning and Computer Vision

Link to lab webpage: https://sites.google.com/site/snehasisisi/home

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  1. Jaydeep Kishore and Snehasis Mukherjee, An ensemble of self-supervised teachers for minimal student model with auto-tuned hyperparameters via improved Bayesian optimization, Progress in Artificial Intelligence, Springer, DOI: 10.1007/s13748-024-00329-w, 2024. [code]
  2. S.H. Shabbeer Basha, Mahammad Farazuddin, P. Viswanath, Shiv Ram Dubey and Snehasis Mukherjee, Deep model compression based on the training history, Neurocomputing, Elsevier, Vol. 573, Article 127257, 2024.
  3. Jaydeep Kishore and Snehasis Mukherjee, Minimizing Parameter Overhead in Self-Supervised Models for Target Task, IEEE Transactions on Artificial Intelligence, Vol. 5(4), pp.- 1635-1646, 2024. [code]
  4. G. Viswanatha Reddy, BSNV Chaitanya, P. Prathyush, M. Sumanth, C. Mrinalini, P. Dileep Kumar and Snehasis Mukherjee, DFW-PP: dynamic feature weighting-based popularity prediction for social media content, Journal of Supercomputing, Springer, Vol. 80, pp.- 5708-5730, 2024. [code]
  5. 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, 2024.
  6. R.S. Jaisurya and Snehasis Mukherjee, AGLC-GAN: Attention-based global-local cycle-consistent generative adversarial networks for unpaired single image dehazing, Image and Vision Computing, Elsevier, Vol. 140, Article 104859, 2023. [code]
  7. Jaydeep Kishore and Snehasis Mukherjee, Auto CNN Classifier Based on Knowledge Transferred from Self-supervised Model, Applied Intelligence, Springer, Vol. 53, pp.- 22086-22104, 2023. [code]
  8. SH Shabbeer Basha, Viswanath Pulabaigari and Snehasis Mukherjee, An Information-rich Sampling Technique over Spatio-Temporal CNN for Classification of Human Actions in Videos, Multimedia Tools and Applications, Springer, Vol. 81, pp.- 40431-40449, 2022.
  9. BSNV Chaitanya and Snehasis Mukherjee, Single Image Dehazing Using Improved CycleGAN, Journal of Visual Communication and Image Representation, Elsevier, Vol. 74, Article 103014, 2021. [code]
  10. 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.
  11. 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. [code]
  12. 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.
  13. Aravind Babu, Santosh Kumar, Sunil Kumar, S. Mukherjee, Blind image quality assessment using a combination of statistical features and CNN, Multimedia Tools and Applications, Springer, Vol. 79, N0. 31, pp.- 23243-23260, 2020.
  14. 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.
  15. Kushal Borkar and Snehasis Mukherjee, Single Image Dehazing by Approximating and Eliminating the Additional Airlight Component, Neurocomputing, Elsevier, Vol. 400, pp.- 294-308, 2020.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. S.H.Shabbeer Basha, S.R.Dubey, P.Viswanath and S.Mukherjee, Impact of Fully Connected Layers on Performance of Convolutional Neural Networks for Image Classification, Neurocomputing, Elsevier, Vol. 378, pp.- 112-119, 2020. [code]
  21. S.R.Dubey, S.K.Roy, S.Chakraborty, S.Mukherjee and B.B.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.
  22. P.Makula, A.Kumar and S.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.
  23. S.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.
  24. S.Mukherjee and D.P.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.
  25. S.Mukherjee, S.K.Biswas and D.P.Mukherjee, Recognizing Interactions Between Human Performers at a Distance by 'Dominating Pose Doublet', Machine Vision and Applications, Springer, Vol. 25, No. 4, pp.- 1033-1052, 2014.
  26. S.Mukherjee and D.P.Mukherjee, A Design-of-Experiments Based Statistical Technique for Detection of Key-Frames, Multimedia Tools and Applications, Springer, Vol. 62, No. 3, pp.- 847-877, 2013. 
  27. S.Mukherjee, S.K.Biswas and D.P.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 .

  1. Kovvuri Sai Gopal Reddy, Bodduluri Saran, A. Mudit Adityaja, Saurabh J. Shigwan, Nitin Kumar, Snehasis Mukherjee, UnSeGArmaNet: Unsupervised Image Segmentation using Graph Neural Networks with Convolutional ARMA Filters, Proc. of BMVC 2024, Glasgow, UK.
  2. Tanishka Yagneshwar and Snehasis Mukherjee, STTGC-Net: Spatial-Temporal Transformer with Graph Convolution for Skeleton-Based Action Recognition, Proc. of ICVGIP 2023, IIT Ropar, ACM.
  3. R.S. Jaisurya and Snehasis Mukherjee, Image Dehazing based on Online Distillation, Proc. of CVIP 2023, Springer CCIS.
  4. Snehasis Mukherjee and Bhavay Chopra, Egocentric action prediction via knowledge distillation and subject-action relevance, Proc. of CVIP 2023, Springer CCIS.
  5. 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.
  6. Anshul Rustogi and Snehasis Mukherjee, Long-term Spatio-temporal Contrastive Learning framework for Skeleton Action Recognition, in IJCNN 2022, Padua, Italy, IEEE.
  7. R.S. Jaisurya and Snehasis Mukherjee, Attention-based Single Image Dehazing Using Improved CycleGAN, in IJCNN 2022, Padua, Italy, IEEE.
  8. Manav Prabhakar and Snehasis Mukherjee, First-person Activity Recognition by Modelling Subject-Action Relevance, in IJCNN 2022, Padua, Italy, IEEE.
  9. Viswanatha Reddy Gajjala, Sai Prasanna Teja Reddy, Snehasis Mukherjee, Shiv Ram Dubey, MERANet: Facial Micro-Expression Recognition using 3D Residual Attention Network, in ICVGIP 2021, IIT Jodhpur, ACM.
  10. Hareesh Devarakonda and Snehasis Mukherjee, Early Prediction of Human Action by Deep Reinforcement Learning, in NCC 2021, IIT Kanpur, IEEE.
  11. Snehasis Mukherjee and Chirumamilla Nagalakshmi, Human Action Recognition from 3D Landmark Points of the Performer, in CVIP 2020, Springer CCIS 1377, pp.- 39-49.
  12. Sri Girinadh Tanneru and Snehasis Mukherjee, Action Recognition in Haze Using an Efficient Fusion of Spatial and Temporal Features, in CVIP 2020, Springer CCIS 1377, pp.- 29-38.
  13. Yash Srivastava, Vaishnav Murali, Shiv Ram Dubey and Snehasis Mukherjee, Visual Question Answering Using Deep Learning: A Survey and Performance Analysis, in CVIP 2020, Springer CCIS 1377, pp.- 75-86.
  14. Ravi Kumar Thakur and Snehasis Mukherjee, A Conditional Adversarial Network for Scene Flow Estimation, in IEEE Ro-MAN 2019, New Delhi.
  15. 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, in IJCNN 2019, Budapest, Hungery, IEEE.
  16. Ch. Nagalakshmi and Snehasis Mukherjee, Classification of Yoga Asana from Single Image by Learning 3D View of Human Pose, in WDH@ICVGIP 2018, IIIT Hyderabad, Springer.
  17. Kushal Borkar and Snehasis Mukherjee, Video Dehazing Using LMNN with Respect to Augmented MRF, in ICVGIP 2018, Hyderabad, ACM.
  18. K. Sai Suma, Gedela Aditya and Snehasis Mukherjee, Activity Recognition in Egocentric Videos Using Bag of Key Action Units, in ICVGIP 2018, Hyderabad, ACM.
  19. Ravi Kumar Thakur and Snehasis Mukherjee, SceneEDNet: A Deep Learning Approach for Scene Flow Estimation, in ICARCV 2018, Singapore, IEEE, pp.- 394-399.
  20. Shiv Ram Dubey and Snehasis Mukherjee, A Multi-Face Challenging Dataset for Robust Face Recognition, in ICARCV 2018, Singapore, IEEE, pp.- 175-180.
  21. 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, in ICARCV 2018, Singapore, IEEE, pp.- 1222-1227.
  22. K. K. Singh and S. Mukherjee, Recognizing Human Activities in Videos Using Improved Dense Trajectories Over LSTM, in NCVPRIPG 2017, IIT Mandi, Springer.
  23. V.Buddubariki, S.G.Tulluri and S.Mukherjee, Event Recognition in Egocentric Videos Using a Novel Trajectory Based Feature, in ICVGIP, IIT Guwahati, ACM, pp.- 76:1 – 76:8, 2016.
  24. S. Mukherjee, B. Vamshi, K.V. S. Vineeth K. Reddy, R. Vamshi Krishna and S.V.S. Harish, Recognizing Facial Expressions Using Novel Motion Based Features in ICVGIP, IIT Guwahati, ACM, pp.- 32:1 – 32:8, 2016.
  25. V.Buddubariki, S.G.Tulluri and S.Mukherjee, Multiple Object Tracking by Improved KLT Tracker Over SURF Features, in NCVPRIPG, IIT Patna, IEEE, pp.- 1-4, 2015.
  26. S.Mukherjee, A.Mullik and D.P.Mukherjee, Human Action Recognition by Dominant Motion Pattern, in ICVS, Copenhagen, Denmark, LNCS 9163, pp.- 477-487, 2015.
  27. S.Mukherjee, Human Action Recognition by Dominant Pose Duplet, in ICVS, Copenhagen, Denmark, LNCS 9163, pp.- 488-497, 2015.
  28. S.Mukherjee, S.K.Biswas and D.P.Mukherjee, Recognizing Interaction Between Human Performers Using ‘Key Pose Doublet’, in ACM Multimedia, Scottsdale, Arizona, USA, pp: 1329-1332, 2011.
  29. S.Mukherjee, S.K.Biswas and D.P.Mukherjee, Human Action Recognition in Video by ‘Meaningful’ Poses, in ICVGIP (ORAL presentation), IIT Madras, ACM, pp: 9-16, 2010.
  30. S.Mukherjee, S.K.Biswas and D.P.Mukherjee, Modeling Sense Disambiguation of Human Pose: Recognizing Action at a Distance by Key Poses, in ACCV (ORAL presentation), Queenstown, New Zealand, LNCS 6492, pp: 244-255, 2010.
  31. S.Mukherjee and D.P.Mukherjee, Tracking Multiple Circular Objects in Video Using Helmholtz Principle, in ICAPR, ISI Calcutta, IEEE, pp: 290-293, 2009. 
  32. S.Mukherjee and D.P.Mukherjee, Segmentation of Circular and Rectangular Shapes in an Image Using Helmholtz Principle, in ICVGIP, Bhubaneswar, India, IEEE, pp: 657-664, 2008.

  • Invited talk (1 hour) on “Engineering on Supervised Network for Training with Less Data” at Indian Statistical Institute (ISI); 30th May, 2024.
  • Invited talk on “The effect of Generative AI in Entertainment Industry” at Amity University, Noida; 15th September, 2023. 
  • Invited talk (1 hour) on “Egocentric Activity Recognition by Subject-Action Relevance” at Indian Statistical Institute (ISI); as part of the 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.

    • Reviewer of the journals:
      • IEEE Transactions on Circuits and Systems for Video Technology
      • IEEE Transactions on Neural Network and Learning Systems
      • IEEE Transactions on Emerging Topics in Computational Intelligence
      • 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 Computational Imaging
      • IEEE Transactions on Network Science and Engineering
      • IEEE Computational Intelligence Magazine
      • IEEE Sensors Journal
      • IEEE Access
      • Computer Vision and Image Understanding (Elsevier)
      • Neural Networks (Elsevier)
      • Neurocomputing (Elsevier)
      • Pattern Recognition (Elsevier)
      • Image and Vision Computing (Elsevier)
      • Pattern Recognition Letters (Elsevier)
      • Computer Methods and Programs in Biomedicine (Elsevier)
      • Computers and Electronics in Agriculture (Elsevier)
      • Expert Systems with Applications (Elsevier)
      • Journal of Visual Communication and Image Representations (Elsevier)
      • Powder Technology (Elsevier)
      • Journal of Computational Science (Elsevier)
      • Artificial Intelligence Review (Springer)
      • Neural Processing Letters (springer)
      • Multimedia Tools and Applications (Springer)
      • Multimedia Systems Journal (Springer)
      • IET Computer Vision
      • IET Image Processing
      • IET Electronics Letters
      • PLOS One
      • ETRI Journal
      • SADHANA Journal (Springer)