Publications
2023
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RNAS-MER: A Refined Neural Architecture Search with Hybrid Spatiotemporal Operations for Micro-Expression Recognition
Monu Verma, Priyanka Lubal, Santosh Kumar Vipparthi, Mohamed Abdel-Mottaleb
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023 [CORE A]
[Paper],
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Efficient Neural Architecture Search for Emotion Recognition
Monu Verma, Murari Mandal, Satish Kumar Reddy, Yashwanth Reddy Meedimale, Santosh Kumar Vipparthi
Expert Systems with Applications, Elsevier 2023 [IF: 8.67]
[Paper]
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Hyfinet: hybrid feature attention network for hand gesture recognition
Gopa Bhaumik, Monu Verma, Mahesh Chandra Govil, Santosh Kumar Vipparthi
Multimedia Tools and Applications [IF: 3.6]
[Paper],
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Multimodal Spatiotemporal Deep Learning Framework to Predict Response of Breast Cancer to Neoadjuvant Systemic Therapy
Monu Verma, Leila Abdelrahman, Fernando Collado-Mesa, Mohamed Abdel-Mottaleb
Diagnostics [IF: 3.6]
[Paper],
2022
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Deep insights of learning based micro expression recognition: A perspective on promises, challenges and research needs
Monu Verma, Santosh Kumar Vipparthi, Girdhari Singh
IEEE Transactions on Computational Social Systems, 2022 [IF: 5]
[Paper],
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ExtriDeNet: an intensive feature extrication deep network for hand gesture recognition
Gopa Bhaumik, Monu Verma, Mahesh Chandra Govil, Santosh Kumar Vipparthi
The Visual Computer [IF: 2.9]
[Paper]
2021
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Automer: Spatiotemporal neural architecture search for microexpression recognition
Monu Verma, M Satish Kumar Reddy, Yashwanth Reddy Meedimale, Murari Mandal, Santosh Kumar Vipparthi
IEEE Transactions on Neural Networks and Learning Systems [IF: 10.4]
[Paper]
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One for all: An end-to-end compact solution for hand gesture recognition
Monu Verma, Ayushi Gupta, Santosh K Vipparthi
2021 International Joint Conference on Neural Networks (IJCNN) [CORE B]
[Paper]
2020
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Affectivenet: Affective-motion feature learning for microexpression recognition
Monu Verma, Santosh Kumar Vipparthi, Girdhari Singh
IEEE MultiMedia [IF: 3.2]
[Paper]
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Non-linearities improve originet based on active imaging for micro expression recognition
Monu Verma, Santosh Kumar Vipparthi, Girdhari Singh
2020 International Joint Conference on Neural Networks (IJCNN) [CORE A]
[Paper]
2019
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LEARNet: Dynamic imaging network for micro expression recognition
Monu Verma, Santosh Kumar Vipparthi, Girdhari Singh, Subrahmanyam Murala
IEEE Transactions on Image Processing [IF:10.6]
[Paper]
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Hinet: Hybrid inherited feature learning network for facial expression recognition
Monu Verma, Santosh Kumar Vipparthi, Girdhari Singh
IEEE Letters of the Computer Society
[Paper]
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Regional adaptive affinitive patterns (RADAP) with logical operators for facial expression recognition
Murari Mandal, Monu Verma, Sonakshi Mathur, Santosh Kumar Vipparthi, Subrahmanyam Murala, Deveerasetty Kranthi Kumar
IET Image Processing [IF 1.14]
[Paper]
2018
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QUEST: Quadriletral senary bit pattern for facial expression recognition
Monu Verma, Prafulla Sexena, Santosh Vipparthi, Girdhari Singh
2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC) [CORE B]
[Paper]
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Expertnet: exigent features preservative network for facial expression recognition
Monu Verma, Jaspreet Kaur Bhui, Santosh Vipparthi, Girdhari Singh
Proceedings of the 11th Indian conference on computer vision, graphics and image processing
[Paper]
Doctoral Dissertation
HUMAN FACIAL EXPRESSION ANALYSIS FOR AFFECTIVE STATE RECOGNITION
The research in this thesis is focused on analyzing the different modalities of facial expression recognition (FER) including both MaEs and MEs, which are computationally efficient, suitable for online/real-time applications and robust to challenging scenarios.