Train rolling stock segmentation with morphological differential gradient active contours. - P. V. V. Kishore; Ch. Raghava Prasad (ICACCI, 2015)

Crowd Density Analysis and tracking. - P. V. V. Kishore; R. Rahul; K. Sravya; A. S. C. S. Sastry (ICACCI, 2015)

Denoising Ultrasound Medical Images: A Block based Hard and Soft thresholding in Wavelet Domain. - A. S. C. S. Sastry; P. V. V. Kishore; Ch. Raghava Prasad; M. V. D. Prasad (Int. J. Meas. Technol. Instrum. Eng., 2015)

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)

Sign language recognition with multi feature fusion and ANN classifier. - Sunitha Ravi; Maloji Suman; Polurie Venkata Vijay Kishore; Kiran Kumar Eepuri (Turkish J. Electr. Eng. Comput. Sci., 2018)

An Efficient Medical Image Watermarking Technique in E-healthcare Application Using Hybridization of Compression and Cryptography Algorithm. - Puvvadi Aparna; Polurie Venkata Vijay Kishore (J. Intell. Syst., 2018)

Indian sign language recognition using graph matching on 3D motion captured signs. - Dande Anil Kumar; A. S. C. S. Sastry; P. V. V. Kishore; Kiran Kumar Eepuri (Multim. Tools Appl., 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)

AUTOMATIC LOCALIZATION OF LANDMARKS IN CEPHALOMETRIC IMAGES Via MODIFIED U-Net. - E. N. D. Goutham; Srikanth Vasamsetti; P. V. V. Kishore; Harish Kumar Sardana (ICCCNT, 2019)

Biometric-based efficient medical image watermarking in E-healthcare application. - Puvvadi Aparna; Polurie Venkata Vijay Kishore (IET Image Process., 2019)

Localized region based active contours with a weakly supervised shape image for inhomogeneous video segmentation of train bogie parts in building an automated train rolling examination. - N. Sasikala; P. V. V. Kishore; Dande Anil Kumar; Ch. Raghava Prasad (Multim. Tools Appl., 2019)

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)

An iris biometric-based dual encryption technique for medical image in e-healthcare application. - Puvvadi Aparna; Polurie Venkata Vijay Kishore (Int. J. Comput. Vis. Robotics, 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)

Train bogie part recognition with multi-object multi-template matching adaptive algorithm. - N. Sasikala; P. V. V. Kishore (J. King Saud Univ. Comput. Inf. Sci., 2020)

A Blind Medical Image Watermarking for Secure E-Healthcare Application Using Crypto-Watermarking System. - Puvvadi Aparna; Polurie Venkata Vijay Kishore (J. Intell. Syst., 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)

Learning multiview deep features from skeletal sign language videos for recognition. - Ashraf Ali Shaik; Venkata Durga Prasad Mareedu; Polurie Venkata Vijay Kishore (Turkish J. Electr. Eng. Comput. Sci., 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)

Multi-view motion modelled deep attention networks (M2DA-Net) for video based sign language recognition. - Suneetha M.; Venkata Durga Prasad Mareedu; P. V. V. Kishore (J. Vis. Commun. Image Represent., 2021)

3D sign language recognition using spatio temporal graph kernels. - Dande Anil Kumar; A. S. C. S. Sastry; P. V. V. Kishore; Kiran Kumar Eepuri (J. King Saud Univ. Comput. Inf. Sci., 2022)

Sharable and unshareable within class multi view deep metric latent feature learning for video-based sign language recognition. - Suneetha M.; Venkata Durga Prasad Mareedu; P. V. V. Kishore (Multim. Tools Appl., 2022)

Multiview meta-metric learning for sign language recognition using triplet loss embeddings. - Suneetha Mopidevi; M. V. D. Prasad; Polurie Venkata Vijay Kishore (Pattern Anal. Appl., 2023)

Machine Interpretation of Ballet Dance: Alternating Wavelet Spatial and Channel Attention Based Learning Model. - P. V. V. Kishore; Dande Anil Kumar; P. Praveen Kumar; D. Srihari; N. Sasikala; L. Divyasree (IEEE Access, 2024)

Joint Motion Affinity Maps (JMAM) and Their Impact on Deep Learning Models for 3D Sign Language Recognition. - P. V. V. Kishore; Dande Anil Kumar; Rama Chaithanya Tanguturi; K. Srinivasarao; P. Praveen Kumar; D. Srihari (IEEE Access, 2024)

Corrections to "Joint Motion Affinity Maps (JMAM) and Their Impact on Deep Learning Models for 3D Sign Language Recognition". - P. V. V. Kishore; Dande Anil Kumar; Rama Chaithanya Tanguturi; K. Srinivasarao; P. Praveen Kumar; D. Srihari (IEEE Access, 2024)

Multi frame multi-head attention learning on deep features for recognizing Indian classical dance poses. - Dande Anil Kumar; P. V. V. Kishore; Rama Chaithanya Tanguturi; K. Sravani (J. Vis. Commun. Image Represent., 2024)

Sign Language Recognition (SLR): A Brisk Paired Deep Metric Attention Learning (BPDMAL) Model for Video Data Applications. - P. V. V. Kishore; Dande Anil Kumar; K. Srinivasa Rao (SN Comput. Sci., 2024)

Deep Bharatanatyam pose recognition: a wavelet multi head progressive attention. - Dande Anil Kumar; P. V. V. Kishore; K. Sravani (Pattern Anal. Appl., 2024)

Acute Respiratory Infections Identification With Cough Sounds and Overlapping Patch Modulated Vision Transformers. - P. V. V. Kishore; Dande Anil Kumar; Pasupuleti Sasikiran; Kaja Krishna Mohan; P. Praveen Kumar; Mogadala Vinod Kumar (IEEE Access, 2025)