Snehasis Mukherjee | Department of Computer Science and Engineering

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Snehasis
Mukherjee
Assistant Professor
Department of Computer Science and Engineering
School of Engineering (SoE)
snehasis.mukherjee@snu.edu.in
Shiv Nadar University
Gautam Budh Nagar Uttar Pradesh
India
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Profile Summary 

Prior to joining Shiv Nadar University, I worked as an Assistant Professor at IIIT SriCity, Chittoor for 6 years. I did my PhD in Computer Science from the Indian Statistical Institute (ISI) in 2012, followed by a Post Doctoral research work at the National Institute of Standards and Technology (NIST), Gaithersburg, USA. I am a researcher in Computer Vision, Image Processing, Machine Learning and Graphics. I am an active reviewer of several reputed international journals such as IEEE TIP, IEEE TCSVT, IEEE TCYB, IEEE THMS, PRL, IET-IP, IET-CV and many more. I serve as a member of technical program committee in several reputed conferences.

For more details please visit my personal webpage

Educational Qualifications 
2012
PhD
Indian Statistical Institute
2004
MCA
Vidyasagar University
2001
BSc (Honours in Mathematics)
University of Calcutta
Work Experience 
05/20 – Present
Assistant Professor,
Shiv Nadar University,
Greater Noida
I currently work here
08/14
04/20
Assistant Professor,
IIIT SriCity, Chittoor,
SriCity
03/14
08/14
Visiting Scientist,
Indian Statistical Institute,
Calcutta
09/12
03/14
Guest Researcher,
National Institute of Standards and Technology (NIST), Gaithersburg,
Maryland, USA
Teaching & Research Interests: 

Research Area: Computer Vision, Image/ Video Processing, Machine Learning and Graphics

Courses Taught:

  • Programming Language C
  • Discrete Mathematics
  • Abstract Algebra and Linear Algebra
  • Probability and Stochastic Process
  • Database Management Systems
  • Web Application Development
  • Probabilistic Graphical Models
  • Digital Image Processing (Advanced level)
  • Deep Learning (Advanced level)
Awards(Selected): 
2016

Early Career Research Award from DST-SERB, Government of India

2018

Received the NVIDIA GPU grant in November 2018, for research in Computer Vision. (International).

Scholarly Activity

Journal Publications (accepted or published)

  1. 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, DOI: 10.1016/j.cogsys.2020.03.002, 2020 (Accepted).
  2. Kushal Borkar and Snehasis Mukherjee, Single Image Dehazing by Approximating and Eliminating the Additional Airlight Component, Neurocomputing, Elsevier, DOI: 10.1016/j.neucom.2020.03.027, 2020 (Accepted).
  3. G. Viswanatha Reddy, Snehasis Mukherjee and Mainak Thakur, Measuring Photography Aesthetics with Deep CNNs, IET Image Processing, DOI: 10.1049/iet-ipr.2019.1300, 2020 (Accepted).
  4. Snehasis Mukherjee, L. Anvitha and T. Mohana Lahari, Human Activity Recognition in RGB-D Videos by Dynamic Images, Multimedia Tools and Applications, Springer, DOI: 10.1007/s11042-020-08747-3, 2020 (Accepted).
  5. 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, DOI: 10.1109/TNNLS.2019.2955777, 2019. (Accepted)
  6. 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.
  7. 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.
  8. 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, DOI: 10.1007/s00521-019-04279-6, 2019. (Accepted)
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.

Conference Publications

  1. Ravi Kumar Thakur and Snehasis Mukherjee, A Conditional Adversarial Network for Scene Flow Estimation, Proc. of IEEE Ro-MAN 2019, New Delhi, India (Accepted). [code]
  2. 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 Computer Society, Doi: 10.1109/IJCNN.2019.8852419.
  3. 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 (Accepted).
  4. 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.
  5. 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.
  6. Ravi Kumar Thakur and Snehasis Mukherjee, SceneEDNet: A Deep Learning Approach for Scene Flow Estimation, Proc. of ICARCV 2018, Singapore, IEEE Computer Society, pp.- 394-399. [code]
  7. Shiv Ram Dubey and Snehasis Mukherjee, A Multi-Face Challenging Dataset for Robust Face Recognition, Proc. of ICARCV 2018, Singapore, IEEE Computer Society, pp.- 175-180.
  8. 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 Computer Society, pp.- 1222-1227.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. Snehasis Mukherjee, "Human Action Recognition Using Dominant Pose Duplet", Proc. of ICVS 2015, Copenhagen, Denmark, LNCS volume 9163, pp.- 488-497.
  15. 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.
  16. 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.
  17. 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.
  18. Snehasis Mukherjee and Dipti Prasad Mukherjee, "Tracking Multiple Circular Objects in Video Using Helmholtz Principle", Proc. of ICAPR 2009, Kolkata (ISI), India, IEEE Computer Society, pp.- 290-293.
  19. 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 Computer Society, pp.- 657-664.

Books & Book Chapters

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.