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ORCIDDande Anil Kumar
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2020 – today
- 2024
[j20]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)- [j19]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) - [j18]P. V. V. Kishore, Dande Anil Kumar, Rama Chaithanya Tanguturi, K. Srinivasarao, P. Praveen Kumar, D. Srihari:
Corrections to "Joint Motion Affinity Maps (JMAM) and Their Impact on Deep Learning Models for 3D Sign Language Recognition". IEEE Access 12: 162929 (2024) - [j17]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) - [j16]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) - [j15]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) - 2022
- [j14]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) - 2021
- [j13]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) - [j12]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) - 2020
- [j11]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) - [j10]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) - [c1]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
2010 – 2019
- 2019
- [j9]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) - [j8]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) - [j7]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) - [j6]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
- [j5]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) - [j4]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) - [j3]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) - [j2]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) - [j1]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)
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