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Dr. Santosh Kumar Vipparthi

Associate Professor
Room 116, J C Bose Building
skvipparthi@iitrpr.ac.in
9549658135
Google Scholar Profile


Introduction

Dr. Santosh Kumar Vipparthi, a distinguished senior member of IEEE, brings over 13 years of experience spanning academia and industry. He is presently serving as an Assistant Professor at the Indian Institute of Technology Ropar (IIT Ropar), India. Prior to this, he held positions at the Mehta Family School of Data Science and Artificial Intelligence, Indian Institute of Technology, Guwahati (IIT Guwahati) and Malaviya National Institute of Technology (MNIT), Jaipur. Dr. Vipparthi earned his Ph.D. and MTech degrees with Honors from the Indian Institute of Technology Varanasi (IIT Varanasi), BHU, India. His research interests include computer vision, affective computing, deep learning, among others. He is actively involved in various sponsored and consultancy projects in the field of computer vision from both public and private sectors.

Research Highlights

19

Journal Publications

12

Conference Publications

11

Research Projects

0

Patents

0

Awards & Honours

Qualifications
  1. Ph.D
  2. M.Tech (Honors)
Research Interests
  • Computer vision
  • Affective Computing
  • Deep Learning
Brief Research Profile

Dr. Vipparthi specializes primarily in computer vision and deep learning techniques with a focus on all-weather surveillance, underwater exploration, and human emotion recognition.

  1. 1. Mandal M, Meedimale YR, Reddy MS, Vipparthi SK, "Neural architecture search for image dehazing", IEEE Transactions on Artificial Intelligence, 4(5),  1337-1347, 2022
  2. 2. Verma M, Vipparthi SK, Singh G, "Deep insights of learning based micro expression recognition: A perspective on promises, challenges and research needs", IEEE Transactions on Cognitive and Developmental Systems, 15 (3),  1051Ê- 1069, 2022
  3. 3. Satrawala A, Mazumdar AP, Vipparthi SK, "A multilane traffic and collision generator for IoV", Simulation Modelling Practice and Theory, 120,  102588, 2022
  4. 4. Verma M, Reddy MS, Meedimale YR, Mandal M, Vipparthi SK, "Automer: Spatiotemporal neural architecture search for microexpression recognition", IEEE Transactions on Neural Networks and Learning Systems, 33,  6116-6128, 2021
  5. 5. Mandal M, Vipparthi SK, "An empirical review of deep learning frameworks for change detection: Model design, experimental frameworks, challenges and research needs", IEEE Transactions on Intelligent Transportation Systems, 23,  6101-6122, 2021
  6. 6. Choudhary M, Chouhan SS, Pilli ES, Vipparthi SK, "BerConvoNet: A deep learning framework for fake news classification", Applied Soft Computing, 110,  107614, 2021
  7. 7. Mandal M, Dhar V, Mishra A, Vipparthi SK, Abdel-Mottaleb M, "3DCD: Scene Independent End-to-End Spatiotemporal Feature Learning Framework for Change Detection in Unseen Videos", IEEE Transactions on Image Processing, 30,  546-558, 2021
  8. 8. Mandal M, Vipparthi SK, "Scene independency matters: An empirical study of scene dependent and scene independent evaluation for CNN-based change detection", IEEE Transactions on Intelligent Transportation Systems, 23,  2031-2044, 2020
  9. 9. Verma M, Vipparthi SK, Singh G, "Affectivenet: Affective-motion feature learning for microexpression recognition", IEEE MultiMedia, 28,  17-27, 2020
  10. 10. Verma M, Vipparthi SK, Singh G, Murala S, "LEARNet: Dynamic imaging network for micro expression recognition", IEEE Transactions on Image Processing, 29,  1618-1627, 2019
  11. 11. Mandal M, Verma M, Mathur S, Vipparthi SK, Murala S, Kranthi Kumar D, "Regional adaptive affinitive patterns (RADAP) with logical operators for facial expression recognition", IET Image Processing, 13,  850-861, 2019
  12. 12. Mandal M, Chaudhary M, Vipparthi SK, Murala S, Gonde AB, Nagar SK, "ANTIC: ANTithetic isomeric cluster patterns for medical image retrieval and change detection", IET Computer Vision, 13,  31-43, 2019
  13. 13. Mandal M, Dhar V, Mishra A, Vipparthi SK, "3DFR: A swift 3D feature reductionist framework for scene independent change detection", IEEE Signal Processing Letters, 26,  1882-1886, 2019
  14. 14. Mandal M, Shah M, Meena P, Devi S, Vipparthi SK, "AVDNet: A small-sized vehicle detection network for aerial visual data", IEEE Geoscience and Remote Sensing Letters, 17,  494-498, 2019
  15. 15. Verma M, Vipparthi SK, Singh G, "Hinet: Hybrid inherited feature learning network for facial expression recognition", IEEE Letters of the Computer Society, 2,  36-39, 2019
  16. 16. Singh M, Govil MC, Pilli ES, Vipparthi SK, "SOD-CED: salient object detection for noisy images using convolution encoder--decoder", IET Computer Vision, 13,  578-587, 2019
  17. 17. Vipparthi SK, Murala S, Gonde AB, Jonathan Wu QM, "Local directional mask maximum edge patterns for image retrieval and face recognition", IET Computer Vision, 10,  182-192, 2016
  18. 18. Vipparthi SK, Murala S, Nagar SK, "Dual directional multi-motif XOR patterns: A new feature descriptor for image indexing and retrieval", Optik, 126,  1467-1473, 2015
  19. 19. Vipparthi SK, Murala S, Nagar SK, Gonde AB, "Local Gabor maximum edge position octal patterns for image retrieval", Neurocomputing, 167,  336-345, 2015

  • 1. Kulkarni A, Phutke SS, Vipparthi SK, Murala S, "C2AIR: Consolidated Compact Aerial Image Haze Removal", IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), ,  749-758, 2024
  • 2. Khan R, Mishra P, Mehta N, Phutke SS, Vipparthi SK, Nandi S, Murala S, "Spectroformer: Multi-Domain Query Cascaded Transformer Network for Underwater Image Enhancement", IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), ,  1454-1463, 2024
  • 3. Verma M, Lubal P, Vipparthi SK, Abdel-Mottaleb M, "RNAS-MER: A Refined Neural Architecture Search with Hybrid Spatiotemporal Operations for Micro-Expression Recognition", IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), ,  4770-4779, 2023
  • 4. Phutke SS, Kulkarni A, Vipparthi SK, Murala S, "Blind Image Inpainting via Omni-Dimensional Gated Attention and Wavelet Queries", IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), ,  1251-1260, 2023
  • 5. Saxena P, Biradar K, Tyagi DK, Vipparthi SK, "RIChEx: A Robust Inter-Frame Change Exposure for Segmenting Moving Objects", IEEE International Conference on Image Processing (ICIP), ,  2172-2176, 2022
  • 6. Sharma D, Biradar KM, Vipparthi SK, Battula RB, "HYPE: CNN Based HYbrid PrEcoding Framework for 5G and Beyond", 36th International Conference on Advanced Information Networking and Applications (AINA), ,  43-54, 2022
  • 7. Verma M, Gupta A, Vipparthi SK, "One for all: An end-to-end compact solution for hand gesture recognition", International Joint Conference on Neural Networks (IJCNN), ,  01-Aug, 2021
  • 8. Mandal M, Kumar LK, Vipparthi SK, "Mor-uav: A benchmark dataset and baselines for moving object recognition in uav videos", 28th ACM international conference on multimedia (ACMMM), ,  2626-2635, 2020
  • 9. Verma M, Vipparthi SK, Singh G, "Non-linearities improve originet based on active imaging for micro expression recognition", International Joint Conference on Neural Networks (IJCNN), ,  01-Aug, 2020
  • 10. Mandal M, Shah M, Meena P, Vipparthi SK, "SSSDET: Simple short and shallow network for resource efficient vehicle detection in aerial scenes", IEEE international conference on image processing (ICIP), ,  3098-3102, 2019
  • 11. Mandal M, Saxena P, Vipparthi SK, Murala S, "CANDID: Robust change dynamics and deterministic update policy for dynamic background subtraction", ICPR, ,  2468-2473, 2018
  • 12. Verma M, Bhui JK, Vipparthi SK, Singh G, "Expertnet: exigent features preservative network for facial expression recognition", 11th Indian conference on computer vision, graphics and image processing (ICVGIP), ,  01-Aug, 2018

  • 1. IEEE SM (Senior Member)
  • 2. ACM Member

S. No. Title Funding Agency Role Start Year - End Year Amount (In Lacs) Details
1 Al based Technology for Underwater Varicoloured Video Restoration and Object Detection MoES, Govt. of India PI 2023 - 2025 45.477
2 Intelligent Transportation System: AI based Deep Learning Technology for Multi-Weather Video Restoration SERB, Govt. of India CO-PI 2023 - 2026 43.373
3 Autonomous Underwater Vehicle Assistance with Video Quality Enhancement and Restoration SERB-ICPC, Govt. of India PI 2023 - 2025 11.800
4 Timestamp-aware Aberrant Detection and Analysis in Big Visual Data using Deep Learning Architecture SERB, Govt. of India PI 2018 - 2022 19.880
5 Data Driven Approaches for Dehazing of High-Resolution Multispectral Remote Sensing Images ISRO, Govt. of India PI 2023 - 2025 17.690
6 iSelecT: Multifaceted comprehensive framework for Referred instance selection and segmentation in a visual data SERB, Govt. of India PI 2023 - 2026 41.120

S. No. Title Funding Agency Start Year - End Year Amount (In Lacs) Details
1 Tool Development for Improvement in quality of images captured offshore Oceaneering India Pvt. Ltd, India 2023 - 2024 19.500
2 Inspection of ICT Material for Jaipur Smart City Limited Jaipur Smart City Limited - Municipal Corporation Jaipur 2018 - 2019 8.705
3 Inspection of Integrated City Operation Centre in existing JSCL Building Jaipur Smart City 2018 - 2019 3.480
4 Inspection of Supplied materials and testing and commissioning of the equipment at RIICO RIICO, Neemrana, Distt. Alwar 2018 - 2019 2.030
5 Inspection under Smart Raj Project (Phase I) Jaipur Smart City 2017 - 2019 3.800

Code Title L-T-P-S-C Type Degree Year Semester

  • 1. Mr. Ashutosh Kulkarni (TCS Research Scholar)
  • 2. Ms. Priyanka Mishra
  • 3. Ms. Sania Bano
  • 4. Mr. Ranjit Katta
  • 5. Mr. Amitab Tripathi
  • 6. Mr. Sunil Kumar Bansal- Parttime
  • 7. Mr. Sanket Laxman Waghmare - Parttime

  • 1. Head, School of AIDE 2024-
  • 2. Faculty Incharge for First Batch MSDSM 2023-25 (Joint program between IIT Ropar and IIM Amritsar)
  • 3. Faculty Advisor for M.Tech SPCOM 2023-25