JK Lakshmipat University

Get the latest updates and JKLU’s response to COVID-19    
Dr. Arpan Gupta
Institute of Engineering and Technology


Dr. Arpan Gupta

Assistant Professor
Institute of Engineering and Technology

Area/ Specialisation

Video Analytics, Computer Vision and Deep Learning.



Member of JKLU faculty since

5th August 2022

Profile Links


  • PhD (CSE) from LNMIIT, Jaipur.
  • M.Tech. (CSE) from LNMIIT, Jaipur.
  • B.Tech. (IT) from SRMCEM, Lucknow (affiliated to UPTU).


Dr. Arpan Gupta is Assistant Professor in the Department of Computer Science at the Institute of Engineering and Technology, JKLU. He completed his B.Tech. in Information Technology from SRMCEM, Lucknow followed by M.Tech. In CSE from LNMIIT, Jaipur.


He obtained his PhD in Computer Science and Engineering from LNMIIT, Jaipur. Prior to joining JKLU, he also worked as a Senior Data Scientist at Algo8 AI Pvt. Ltd. His research interest lies in Computer Vision and Deep Learning, especially in activity understanding in sports videos.

Teaching Interests
  • Computer Programming
  • Data Structures and Algorithms
  • Computer Vision
Research Interests
  • Video Activity Recognition
  • Deep Neural Networks
  • Computer Vision
Honours, Awards, and Affiliations
  • GATE qualified. Rank 2526 in the year 2014.
  • Team secured 2nd place at the Xerox Research Mortality Prediction Challenge, 2015 conducted at Hackerrank. Internship of 15 days at Xerox Research Centre India and participation in the second round of the challenge.
  • Represented UP State in National Junior Chess Championship, 2004 at Chennai and National Sub-Junior Chess Championship, 2005 at Kozhikode.
  • Won numerous awards at the inter-school, inter-collegiate, district and state chess championships, and participated in national level chess tournaments.

Workshops / Conferences / Presentations:

  • Delivered a webinar on Recognition of Cricket Strokes in Telecast Videos. https://www.youtube.com/watch?v=HP39wqWhto4
  • Shortlisted for Doctoral Symposium at ICVGIP 2021. Presentated the PhD work at the Symposium.
  • Presented the paper titled “Temporal Cricket Stroke Localization from Untrimmed Highlight Videos” in ICVGIP 2018 at IIIT Hyderabad in December, 2018.
  • Presented the paper titled “Action Recognition from Optical Flow Visualizations” in CVIP-WM 2017 held at IIT Roorkee (GNEC) in September, 2017.
  • Attended two day workshop on Deep Learning and parallel architectures by NVIDIA at MNIT Jaipur in Oct, 2017.
  • Presented a paper titled “Song Prediction using Apache Spark” in ICACCI-2016, held at Fourth Author LNMIIT, Jaipur in September, 2016. Published in Proceedings of IEEE.
Selected Publications
  • Arpan Gupta and Sakthi Balan Muthiah. “Learning Cricket Strokes from Spatial and Motion Visual Word Sequences”, Multimedia Tools and Applications, 2022. ISSN 1573-7721, https://doi.org/10.1007/s11042-022-13307-y


  • – Arpan Gupta, Ashish Karel, and Sakthi Balan Muthiah, “Cricket Stroke Recognition Using Hard and Soft Assignment Based Bag of Visual Words”. In: Singh S.K., Roy P., Raman B., Nagabhushan P. (eds) Computer Vision and Image Processing. CVIP 2020. Communications in Computer and Information Science, vol 1377. Springer, Singapore. https://doi.org/10.1007/978-981-16-1092-9 3 / 3


  • – Arpan Gupta and Sakthi Balan Muthiah, “Viewpoint constrained and unconstrained Cricket stroke localization from untrimmed videos”, Image and Vision Computing, Volume 100, 2020, 103944, ISSN 0262-8856, https://doi.org/10.1016/j.imavis.2020.103944.


  • Arpan Gupta, Ashish Karel, and Sakthi Balan Muthiah, “Discovering Cricket Stroke Classes in Trimmed Telecast Videos”. In: Nain N., Vipparthi S., Raman B. (eds) Computer Vision and Image Processing. CVIP 2019. Communications in Computer and Information Science, vol 1148. Springer, Singapore. https://doi.org/10.1007/978-981-15-4018-9 45


  • Arpan Gupta and Sakthi Balan Muthiah, “Temporal Cricket Stroke Localization from Untrimmed Highlight Videos”. In Proceedings of the 11th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP 2018). Association for Computing Machinery, New York, NY, USA, Article 62, 1–9. https://doi.org/10.1145/3293353.3293415


  • Arpan Gupta and Sakthi Balan Muthiah, “Action Recognition from Optical Flow Visualizations”. In: Chaudhuri B., Kankanhalli M., Raman B. (eds) Proceedings of 2nd International Conference on Computer Vision & Image Processing. Advances in Intelligent Systems and Computing, vol 703. Springer, Singapore. https://doi.org/10.1007/978-981-10-7895-8_31


  • Prakhar Mishra, Ratika Garg, Akshat Kumar, Arpan Gupta and Praveen Kumar, “Song year prediction using Apache Spark”, 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2016, pp. 1590-1594, doi: 10.1109/ICACCI.2016.7732275.
Download Brochure
Connect with us