Check the list of all publications in GoogleScholar, DBLP
Book Chapters
N. Perveen, C.K. Mohan, Y.W. Chen, Expression Modeling Using Dynamic Kernels for Quantitative Assessment of Facial Paralysis, in: K. Bouatouch, A.A. de Sousa, M. Chessa, A. Paljic, A. Kerren, C. Hurter, G.M. Farinella, P. Radeva, J. Braz (Eds.), Computer Vision, Imaging and Computer Graphics Theory and Applications, Springer International Publishing, Cham, 2022: pp. 372–393.
Journals
Rajeshreddy Datla, Nazil Perveen, Krishna Mohan C., “Learning scene-vectors for remote sensing image
scene classification”, Neurocomputing, Volume 587, 2024, 127679, ISSN 0925-2312, https://doi.org/10.1016/j.neucom.2024.127679.
S. Yenduri, N. Perveen, V. Chalavadi, and K. M. C, “Fine-grained action recognition using dynamic kernels,” Pattern Recognition, vol. 122, p. 108282, 2022, doi: https://doi.org/10.1016/j.patcog.2021.108282.
N. Perveen, D. Roy, and C. K. Mohan, “Facial Expression Recognition in Videos Using Dynamic Kernels,” in IEEE Transactions on Image Processing, vol. 29, pp. 8316-8325, 2020, DOI: 10.1109/TIP.2020.3011846
N. Perveen, D. Roy and C. K. Mohan, “Spontaneous Expression Recognition Using Universal Attribute Model,” in IEEE Transactions on Image Processing, vol. 27, no. 11, pp 5575-5584, Nov. 2018
Conference
S. Yenduri, N. Perveen, V. Chalavadi, and C. Mohan, “Fine-grained Action Recognition using Attribute Vectors,” in Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, 2022, pp. 134–143. doi: 10.5220/0010828700003124
N. Perveen, C. Mohan, Y. Chen, Quantitative Analysis of Facial Paralysis using GMM and Dynamic Kernels, in: Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, SciTePress, 2020: pp. 173–184.
Nazil Perveen, and C. K. Mohan (2020). “Configural representation of facial action units for spontaneous facial expression recognition in the wild,” In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, ISBN 978-989-758-402-2, pages 93-102. DOI: 10.5220/0009099700930102
Nazil Perveen, C. K. Mohan and Chen, Y. (2020). “Quantitative analysis of facial paralysis using GMM and dynamic kernels,” In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, ISBN 978-989-758-402-2, ISSN 2184-4321, pages 173-184. DOI: 10.5220/0009104801730184
Nazil Perveen, D. Singh, and C. K. Mohan, “Spontaneous facial expression recognition: A part-based approach,” 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA), Anaheim, CA, 2016, pp. 819-824. DOI: 0.1109/ICMLA.2016.0147