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Journal Articles
- 2024
[j30]P. V. V. Kishore
, Dande Anil Kumar, Rama Chaithanya Tanguturi, K. Srinivasarao, P. Praveen Kumar, D. Srihari:
Joint Motion Affinity Maps (JMAM) and Their Impact on Deep Learning Models for 3D Sign Language Recognition. IEEE Access 12: 11258-11275 (2024)- [j29]P. V. V. Kishore, Dande Anil Kumar, P. Praveen Kumar, D. Srihari, N. Sasikala, L. Divyasree:
Machine Interpretation of Ballet Dance: Alternating Wavelet Spatial and Channel Attention Based Learning Model. IEEE Access 12: 55264-55280 (2024) - [j28]Dande Anil Kumar, P. V. V. Kishore, Rama Chaithanya Tanguturi, K. Sravani:
Multi frame multi-head attention learning on deep features for recognizing Indian classical dance poses. J. Vis. Commun. Image Represent. 99: 104091 (2024) - [j27]Dande Anil Kumar, P. V. V. Kishore, K. Sravani:
Deep Bharatanatyam pose recognition: a wavelet multi head progressive attention. Pattern Anal. Appl. 27(2): 53 (2024) - [j26]P. V. V. Kishore, Dande Anil Kumar, K. Srinivasa Rao:
Sign Language Recognition (SLR): A Brisk Paired Deep Metric Attention Learning (BPDMAL) Model for Video Data Applications. SN Comput. Sci. 5(4): 419 (2024) - 2023
- [j25]Suneetha Mopidevi, M. V. D. Prasad, Polurie Venkata Vijay Kishore:
Multiview meta-metric learning for sign language recognition using triplet loss embeddings. Pattern Anal. Appl. 26(3): 1125-1141 (2023) - 2022
- [j24]Dande Anil Kumar, A. S. C. S. Sastry, P. V. V. Kishore, Kiran Kumar Eepuri:
3D sign language recognition using spatio temporal graph kernels. J. King Saud Univ. Comput. Inf. Sci. 34(2): 143-152 (2022) - [j23]Suneetha M., Venkata Durga Prasad Mareedu, P. V. V. Kishore:
Sharable and unshareable within class multi view deep metric latent feature learning for video-based sign language recognition. Multim. Tools Appl. 81(19): 27247-27273 (2022) - 2021
- [j22]Maddala Teja Kiran Kumar, P. V. V. Kishore, Boddapati Taraka Phani Madhav, Dande Anil Kumar, N. Sasikala, K. Praveen Kumar Rao, B. Prasad:
Can Skeletal Joint Positional Ordering Influence Action Recognition on Spectrally Graded CNNs: A Perspective on Achieving Joint Order Independent Learning. IEEE Access 9: 139611-139626 (2021) - [j21]Ashraf Ali Shaik, Venkata Durga Prasad Mareedu, Polurie Venkata Vijay Kishore:
Learning multiview deep features from skeletal sign language videos for recognition. Turkish J. Electr. Eng. Comput. Sci. 29(2): 1061-1076 (2021) - [j20]Kiran Kumar Eepuri, P. V. V. Kishore, Dande Anil Kumar, Maddala Teja Kiran Kumar:
Early estimation model for 3D-discrete indian sign language recognition using graph matching. J. King Saud Univ. Comput. Inf. Sci. 33(7): 852-864 (2021) - [j19]Suneetha M., Venkata Durga Prasad Mareedu, P. V. V. Kishore:
Multi-view motion modelled deep attention networks (M2DA-Net) for video based sign language recognition. J. Vis. Commun. Image Represent. 78: 103161 (2021) - 2020
- [j18]Puvvadi Aparna, Polurie Venkata Vijay Kishore:
An iris biometric-based dual encryption technique for medical image in e-healthcare application. Int. J. Comput. Vis. Robotics 10(1): 1-20 (2020) - [j17]Kiran Kumar Eepuri, P. V. V. Kishore, Maddala Teja Kiran Kumar, Dande Anil Kumar:
3D sign language recognition with joint distance and angular coded color topographical descriptor on a 2 - stream CNN. Neurocomputing 372: 40-54 (2020) - [j16]N. Sasikala, P. V. V. Kishore:
Train bogie part recognition with multi-object multi-template matching adaptive algorithm. J. King Saud Univ. Comput. Inf. Sci. 32(5): 608-617 (2020) - [j15]Puvvadi Aparna, Polurie Venkata Vijay Kishore:
A Blind Medical Image Watermarking for Secure E-Healthcare Application Using Crypto-Watermarking System. J. Intell. Syst. 29(1): 1558-1575 (2020) - [j14]D. Srihari, P. V. V. Kishore, Kiran Kumar Eepuri, Dande Anil Kumar, Maddala Teja Kiran Kumar, M. V. D. Prasad, Ch. Raghava Prasad:
A four-stream ConvNet based on spatial and depth flow for human action classification using RGB-D data. Multim. Tools Appl. 79(17-18): 11723-11746 (2020) - 2019
- [j13]Puvvadi Aparna, Polurie Venkata Vijay Kishore:
Biometric-based efficient medical image watermarking in E-healthcare application. IET Image Process. 13(3): 421-428 (2019) - [j12]N. Sasikala, P. V. V. Kishore, Dande Anil Kumar, Ch. Raghava Prasad:
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. Multim. Tools Appl. 78(11): 14917-14946 (2019) - [j11]Dande Anil Kumar, A. S. C. S. Sastry, P. V. V. Kishore, Kiran Kumar Eepuri, Maddala Teja Kiran Kumar:
S3DRGF: Spatial 3-D Relational Geometric Features for 3-D Sign Language Representation and Recognition. IEEE Signal Process. Lett. 26(1): 169-173 (2019) - [j10]Maddala Teja Kiran Kumar, P. V. V. Kishore, Kiran Kumar Eepuri, Dande Anil Kumar:
YogaNet: 3-D Yoga Asana Recognition Using Joint Angular Displacement Maps With ConvNets. IEEE Trans. Multim. 21(10): 2492-2503 (2019) - [j9]Sunitha Ravi, Maloji Suman, P. V. V. Kishore, Kiran Kumar Eepuri, Maddala Teja Kiran Kumar, Dande Anil Kumar:
Multi modal spatio temporal co-trained CNNs with single modal testing on RGB-D based sign language gesture recognition. J. Comput. Lang. 52: 88-102 (2019) - 2018
- [j8]N. Sasikala, P. V. V. Kishore, Ch. Raghava Prasad, Kiran Kumar Eepuri, Dande Anil Kumar, Maddala Teja Kiran Kumar, M. V. D. Prasad:
Unifying Boundary, Region, Shape into Level Sets for Touching Object Segmentation in Train Rolling Stock High Speed Video. IEEE Access 6: 70368-70377 (2018) - [j7]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:
Indian Classical Dance Action Identification and Classification with Convolutional Neural Networks. Adv. Multim. 2018: 5141402:1-5141402:10 (2018) - [j6]Sunitha Ravi, Maloji Suman, Polurie Venkata Vijay Kishore, Kiran Kumar Eepuri:
Sign language recognition with multi feature fusion and ANN classifier. Turkish J. Electr. Eng. Comput. Sci. 26(6): 2872-2886 (2018) - [j5]Puvvadi Aparna, Polurie Venkata Vijay Kishore:
An Efficient Medical Image Watermarking Technique in E-healthcare Application Using Hybridization of Compression and Cryptography Algorithm. J. Intell. Syst. 27(1): 115-133 (2018) - [j4]Dande Anil Kumar, A. S. C. S. Sastry, P. V. V. Kishore, Kiran Kumar Eepuri:
Indian sign language recognition using graph matching on 3D motion captured signs. Multim. Tools Appl. 77(24): 32063-32091 (2018) - [j3]Kiran Kumar Eepuri, P. V. V. Kishore, A. S. C. S. Sastry, Maddala Teja Kiran Kumar, Dande Anil Kumar:
Training CNNs for 3-D Sign Language Recognition With Color Texture Coded Joint Angular Displacement Maps. IEEE Signal Process. Lett. 25(5): 645-649 (2018) - [j2]Kiran Kumar Eepuri, P. V. V. Kishore, Maddala Teja Kiran Kumar, Dande Anil Kumar, A. S. C. S. Sastry:
Three-Dimensional Sign Language Recognition With Angular Velocity Maps and Connived Feature ResNet. IEEE Signal Process. Lett. 25(12): 1860-1864 (2018) - 2015
- [j1]A. S. C. S. Sastry, P. V. V. Kishore, Ch. Raghava Prasad, M. V. D. Prasad:
Denoising Ultrasound Medical Images: A Block based Hard and Soft thresholding in Wavelet Domain. Int. J. Meas. Technol. Instrum. Eng. 5(1): 1-14 (2015)
Conference and Workshop Papers
- 2020
- [c4]P. V. V. Kishore, Darshika G. Perera, Maddala Teja Kiran Kumar, Dande Anil Kumar, Kiran Kumar Eepuri:
A Quad Joint Relational Feature for 3D Skeletal Action Recognition with Circular CNNs. ISCAS 2020: 1-5 - 2019
- [c3]E. N. D. Goutham, Srikanth Vasamsetti, P. V. V. Kishore, Harish Kumar Sardana:
AUTOMATIC LOCALIZATION OF LANDMARKS IN CEPHALOMETRIC IMAGES Via MODIFIED U-Net. ICCCNT 2019: 1-6 - 2015
- [c2]P. V. V. Kishore, Ch. Raghava Prasad:
Train rolling stock segmentation with morphological differential gradient active contours. ICACCI 2015: 1174-1178 - [c1]P. V. V. Kishore, R. Rahul, K. Sravya, A. S. C. S. Sastry:
Crowd Density Analysis and tracking. ICACCI 2015: 1209-1213
Coauthor Index
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