A review on deep convolutional neural networks N Aloysius, M Geetha 2017 international conference on communication and signal processing (ICCSP …, 2017 | 680 | 2017 |
Understanding vision-based continuous sign language recognition N Aloysius, M Geetha Multimedia Tools and Applications 79 (31), 22177-22209, 2020 | 71 | 2020 |
A vision based dynamic gesture recognition of indian sign language on kinect based depth images M Geetha, C Manjusha, P Unnikrishnan, R Harikrishnan 2013 international conference on emerging trends in communication, control …, 2013 | 59 | 2013 |
Sign language translator for mobile platforms M Mahesh, A Jayaprakash, M Geetha 2017 International Conference on Advances in Computing, Communications and …, 2017 | 39 | 2017 |
Mudra: convolutional neural network based Indian sign language translator for banks G Jayadeep, NV Vishnupriya, V Venugopal, S Vishnu, M Geetha 2020 4th International Conference on Intelligent Computing and Control …, 2020 | 38 | 2020 |
Gesture recognition for american sign language with polygon approximation M Geetha, R Menon, S Jayan, R James, GVV Janardhan 2011 IEEE International Conference on Technology for Education, 241-245, 2011 | 37 | 2011 |
Image classification using an ensemble-based deep CNN A Neena, M Geetha Recent Findings in Intelligent Computing Techniques: Proceedings of the 5th …, 2018 | 28 | 2018 |
Detection and estimation of the extent of flood from crowd sourced images M Geetha, M Manoj, AS Sarika, M Mohan, SN Rao 2017 international conference on communication and signal processing (ICCSP …, 2017 | 27 | 2017 |
CNN and stacked LSTM model for Indian sign language recognition C Aparna, M Geetha Machine Learning and Metaheuristics Algorithms, and Applications: First …, 2020 | 24 | 2020 |
Incorporating relative position information in transformer-based sign language recognition and translation N Aloysius, M Geetha, P Nedungadi IEEE Access 9, 145929-145942, 2021 | 21 | 2021 |
Dynamic gesture recognition of Indian sign language considering local motion of hand using spatial location of Key Maximum Curvature Points M Geetha, PV Aswathi 2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS), 86-91, 2013 | 21 | 2013 |
A scale space model of weighted average CNN ensemble for ASL fingerspelling recognition N Aloysius, M Geetha International Journal of Computational Science and Engineering 22 (1), 154-161, 2020 | 18 | 2020 |
An improved method for segmentation of point cloud using minimum spanning tree M Geetha, R Rakendu 2014 International Conference on Communication and Signal Processing, 833-837, 2014 | 16 | 2014 |
Interactive visualization-based surveillance video synopsis K Namitha, A Narayanan, M Geetha Applied Intelligence 52 (4), 3954-3975, 2022 | 15 | 2022 |
Animation system for Indian Sign Language communication using LOTS notation RJ Raghavan, KA Prasad, R Muraleedharan, M Geetha 2013 International Conference on Emerging Trends in Communication, Control …, 2013 | 15 | 2013 |
Machine vision based flood monitoring system using deep learning techniques and fuzzy logic on crowdsourced image data B B Nair, S Krishnamoorthy, S N Rao Intelligent Decision Technologies 15 (3), 357-370, 2021 | 10 | 2021 |
An ensembled scale-space model of deep convolutional neural networks for sign language recognition N Aloysius, M Geetha International Conference on Artificial Intelligence and Data Engineering …, 2019 | 9 | 2019 |
An FSM based methodology for interleaved and concurrent activity recognition J Kavya, M Geetha 2016 International Conference on Advances in Computing, Communications and …, 2016 | 7 | 2016 |
A 3D stroke based representation of sign language signs using key maximum curvature points and 3D chain codes M Geetha, MR Kaimal Multimedia Tools and Applications 77, 7097-7130, 2018 | 6 | 2018 |
Automated screening for trisomy 21 by measuring nuchal translucency and frontomaxillary facial angle PS Lakshmi, M Geetha, NR Menon, V Krishnan, P Nedungadi 2018 International Conference on Advances in Computing, Communications and …, 2018 | 5 | 2018 |