M. Teja Kiran Kumar - Concepedia

Author

M. Teja Kiran Kumar

Koneru Lakshmaiah Education Foundation

Also Known As

M. Teja Kiran, M. Teja Kiran Kumar, Maddala Teja Kiran Kumar, Teja Kiran Kumar M, Teja Kiran Kumar Maddala

Publications

520

Citations

H-Index

Concepts

All Affiliations

Koneru Lakshmaiah Education Foundation

About

M. Teja Kiran Kumar is an author at Koneru Lakshmaiah Education Foundation specializing in computer vision, engineering, and image analysis.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	8	8	440
2	American Sign Language	4	4	220
3	Health Sciences	3	3	109
4	Language Studies	2	2	138
5	Arts	1	1	77

M. Teja Kiran Kumar

Publications

492

Citations

H-Index

Page 1

	Year	Citations
Training CNNs for 3-D Sign Language Recognition With Color Texture Coded Joint Angular Displacement Maps E. Kiran Kumar, P. V. V. Kishore, Ananth Sastry, IEEE Signal Processing Letters EngineeringMachine LearningHuman Pose EstimationColor Texture ImageBiometrics	2018	86
Indian Classical Dance Action Identification and Classification with Convolutional Neural Networks P. V. V. Kishore, K. V. V. Kumar, E. Kiran Kumar, Advances in Multimedia MusicEngineeringMachine LearningHuman Pose EstimationVideo Interpretation	2018	77
3D sign language recognition with joint distance and angular coded color topographical descriptor on a 2 – stream CNN E. Kiran Kumar, P. V. V. Kishore, M. Teja Kiran Kumar, Neurocomputing Sign LanguageMachine VisionImage AnalysisEngineeringGesture Recognition	2019	63
YogaNet: 3-D Yoga Asana Recognition Using Joint Angular Displacement Maps With ConvNets M. Teja Kiran Kumar, P. V. V. Kishore, E. Kiran Kumar, IEEE Transactions on Multimedia Geometric LearningEngineeringMachine LearningHuman Pose Estimation3D Pose Estimation	2019	53
Multi modal spatio temporal co-trained CNNs with single modal testing on RGB–D based sign language gesture recognition Sunitha Ravi, Suman Maloji, P. V. V. Kishore, Journal of Computer Languages Gesture StudiesSingle ModalSign LanguageImage AnalysisComputer Vision	2019	53
Three-Dimensional Sign Language Recognition With Angular Velocity Maps and Connived Feature ResNet E. Kiran Kumar, P. V. V. Kishore, M. Teja Kiran Kumar, IEEE Signal Processing Letters Convolutional Neural NetworkEngineeringMachine LearningHuman Pose Estimation3D Pose Estimation	2018	52
Selfie Sign Language Recognition with Convolutional Neural Networks P. V. V. Kishore, G. Anantha Rao, E. Kiran Kumar, International Journal of Intelligent Systems and Applications	2018	31
S3DRGF: Spatial 3-D Relational Geometric Features for 3-D Sign Language Representation and Recognition D. Anil Kumar, Ananth Sastry, P. V. V. Kishore, IEEE Signal Processing Letters EngineeringHuman Pose Estimation3D Pose EstimationBiometricsVideo Interpretation	2018	29
A four-stream ConvNet based on spatial and depth flow for human action classification using RGB-D data D. Srihari, P. V. V. Kishore, E. Kiran Kumar, Multimedia Tools and Applications Human Action ClassificationImage AnalysisKinesiologyEngineeringHealth Sciences	2020	27
Early estimation model for 3D-discrete indian sign language recognition using graph matching E. Kiran Kumar, P. V. V. Kishore, D. Anil Kumar, Journal of King Saud University - Computer and Information Sciences	2018	21

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