The detailed PDF verison of my CV can be found here - Curriculum Vitae
Deep learning and its applications in computer vision, including but not limited to
Ghosal, P., Nandanwar, L., Kanchan, S., Bhadra, A., Chakraborty, J., & Nandi, D. (2019). Brain tumor classification using ResNet-101 based squeeze and excitation deep neural network. 2019 2nd International Conference on Advanced Computational and Communication Paradigms, ICACCP 2019. https://doi.org/10.1109/ICACCP.2019.8882973
Nandanwar, L., Shivakumara, P., Kumar, A., Lu, T., Pal, U., & Lopresti, D. (2020). A new common points detection method for classification of 2D and 3D texts in video/scene images. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). https://doi.org/10.1007/978-3-030-57058-3_36
Nandanwar, L., Shivakumara, P., Kanchan, S., Basavaraja, V., Guru, D. S., Pal, U., Lu, T., & Blumenstein, M. (2021). DCT-phase statistics for forged IMEI numbers and air ticket detection. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2020.114014
Nandanwar, L., Shivakumara, P., Pal, U., Lu, T., Lopresti, D., Seraogi, B., & Chaudhuri, B. B. (2020). A New Method for Detecting Altered Text in Document Images. https://doi.org/10.1007/978-3-030-59830-3_8
Nandanwar, L., Shivakumara, P., Manna, S., Pal, U., Lu, T., & Blumenstein, M. (2020). A New DCT-FFT Fusion Based Method for Caption and Scene Text Classification in Action Video Images. https://doi.org/10.1007/978-3-030-59830-3_7
Download pdf here for more details of my CV. - Curriculum Vitae