You can also find my papers on Google Scholar
S. N. Sridhara et al. Graph-based scalable Sampling and Reconstruction of 3D point cloud color attributes (Under review -submitted to IEEE Iransactions on Image Processing)
R. Watanabe, S. N. Sridhara, H. Hong, E. Pavez, K. Nonaka, T. Kobayashi and A. Ortega, Full-reference point cloud quality assessment using support vector regression Elsevier Signal Processing: Image Communication
E Vasudevan, S N. Sridhara, E. Pavez, A. Ortega, R Singh, S Kalluri
Color-guided flying pixel correction in depth images
2024 IEEE Multimedia signal procession (MMSP).
R Watanabe, S N. Sridhara, H. Hong, E. Pavez, A. Ortega
Full-Reference and Non-Reference Point Cloud Quality Assessment Methods With Support Vector Regression
2023 IEEE International Conference on Image Processing (ICIP), Grand Challenge.
S. N. Sridhara, E. Pavez, R. Watanabe, K. Nonaka, A. Ortega
Point cloud attribute compression via chroma subsampling
2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
S. N. Sridhara, E. Pavez, A. Ortega.
Cylindrical Coordinates for Lidar Point Cloud Compression
2021 IEEE International Conference on Image Processing (ICIP).
arxiv preprint video presentation
S.N. Sridhara, Haleh Akrami, Vaishnavi Krishnamurthy, Anand A. Joshi.
Bias Field correction in 3D MRIs using convolutional autoencoders
2021 SPIE Medical Imaging Conference.
M. B. Punith Kumar, T. Shreekanth, M. R. Prajwal & N. S. Shashank.
An Image Processing Approach for Compression of ECG Signals Based on 2D RLE and SPIHT
Emerging Research in Electronics, Computer Science and Technology: Proceedings of International Conference, ICERECT 2018.