P. V. V. Kishore

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 24

Top Topics

Soft Thresholding

Video Segmentation

Top Venues

Multim. Tools Appl.

IEEE Signal Process. Lett.

J. King Saud Univ. Comput. Inf. Sci.

Publications

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 (2024)
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 (2024)
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 (2024)
Dande Anil Kumar, P. V. V. Kishore, K. Sravani
Deep Bharatanatyam pose recognition: a wavelet multi head progressive attention. Pattern Anal. Appl. 27 (2) (2024)
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) (2024)
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) (2022)
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) (2022)
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) (2021)
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 (2021)
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 (2021)
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)
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 (2020)
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) (2020)
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) (2020)
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) (2019)
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)
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 (2019)
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) (2019)
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) (2019)
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) (2018)
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) (2018)
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 (2018)
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 (2018)
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) (2018)
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) (2015)
P. V. V. Kishore, R. Rahul, K. Sravya, A. S. C. S. Sastry
Crowd Density Analysis and tracking. ICACCI (2015)
P. V. V. Kishore, Ch. Raghava Prasad
Train rolling stock segmentation with morphological differential gradient active contours. ICACCI (2015)