Dande Anil Kumar

According to our database, Dande Anil Kumar authored at least 18 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., April, 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

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

2022

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

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

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

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

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 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

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

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

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

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

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

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

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

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

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

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