Unifying Boundary, Region, Shape into Level Sets for Touching Object Segmentation in Train Rolling Stock High Speed Video. - N. Sasikala; P. V. V. Kishore; Ch. Raghava Prasad; Kiran Kumar Eepuri; Dande Anil Kumar; Maddala Teja Kiran Kumar; M. V. D. Prasad (IEEE Access, 2018)

Indian Classical Dance Action Identification and Classification with Convolutional Neural Networks. - P. V. V. Kishore; K. V. V. Kumar; Kiran Kumar Eepuri; A. S. C. S. Sastry; Maddala Teja Kiran Kumar; Dande Anil Kumar; M. V. D. Prasad (Adv. Multim., 2018)

Three-Dimensional Sign Language Recognition With Angular Velocity Maps and Connived Feature ResNet. - Kiran Kumar Eepuri; P. V. V. Kishore; Maddala Teja Kiran Kumar; Dande Anil Kumar; A. S. C. S. Sastry (IEEE Signal Process. Lett., 2018)

Training CNNs for 3-D Sign Language Recognition With Color Texture Coded Joint Angular Displacement Maps. - Kiran Kumar Eepuri; P. V. V. Kishore; A. S. C. S. Sastry; Maddala Teja Kiran Kumar; Dande Anil Kumar (IEEE Signal Process. Lett., 2018)

S3DRGF: Spatial 3-D Relational Geometric Features for 3-D Sign Language Representation and Recognition. - Dande Anil Kumar; A. S. C. S. Sastry; P. V. V. Kishore; Kiran Kumar Eepuri; Maddala Teja Kiran Kumar (IEEE Signal Process. Lett., 2019)

YogaNet: 3-D Yoga Asana Recognition Using Joint Angular Displacement Maps With ConvNets. - Maddala Teja Kiran Kumar; P. V. V. Kishore; Kiran Kumar Eepuri; Dande Anil Kumar (IEEE Trans. Multim., 2019)

Multi modal spatio temporal co-trained CNNs with single modal testing on RGB-D based sign language gesture recognition. - Sunitha Ravi; Maloji Suman; P. V. V. Kishore; Kiran Kumar Eepuri; Maddala Teja Kiran Kumar; Dande Anil Kumar (J. Comput. Lang., 2019)

A Quad Joint Relational Feature for 3D Skeletal Action Recognition with Circular CNNs. - P. V. V. Kishore; Darshika G. Perera; Maddala Teja Kiran Kumar; Dande Anil Kumar; Kiran Kumar Eepuri (ISCAS, 2020)

3D sign language recognition with joint distance and angular coded color topographical descriptor on a 2 - stream CNN. - Kiran Kumar Eepuri; P. V. V. Kishore; Maddala Teja Kiran Kumar; Dande Anil Kumar (Neurocomputing, 2020)

A four-stream ConvNet based on spatial and depth flow for human action classification using RGB-D data. - D. Srihari; P. V. V. Kishore; Kiran Kumar Eepuri; Dande Anil Kumar; Maddala Teja Kiran Kumar; M. V. D. Prasad; Ch. Raghava Prasad (Multim. Tools Appl., 2020)

Can Skeletal Joint Positional Ordering Influence Action Recognition on Spectrally Graded CNNs: A Perspective on Achieving Joint Order Independent Learning. - Maddala Teja Kiran Kumar; P. V. V. Kishore; Boddapati Taraka Phani Madhav; Dande Anil Kumar; N. Sasikala; K. Praveen Kumar Rao; B. Prasad (IEEE Access, 2021)

Early estimation model for 3D-discrete indian sign language recognition using graph matching. - Kiran Kumar Eepuri; P. V. V. Kishore; Dande Anil Kumar; Maddala Teja Kiran Kumar (J. King Saud Univ. Comput. Inf. Sci., 2021)