A Novel Compression Scheme Based on Hybrid Tucker-Vector Quantization Via Tensor Sketching for Dynamic Light Fields Acquired Through Coded Aperture Camera. - Joshitha Ravishankar; Mansi Sharma; Sally Khaidem (IC3D, 2021)

A Hierarchical Coding Scheme for Glasses-free 3D Displays Based on Scalable Hybrid Layered Representation of Real-World Light Fields. - Joshitha Ravishankar; Mansi Sharma (SMC, 2021)

A Flexible Coding Scheme Based on Block Krylov Subspace Approximation for Light Field Displays with Stacked Multiplicative Layers. - Joshitha Ravishankar; Mansi Sharma; Pradeep Gopalakrishnan (Sensors, 2021)

A Hierarchical Approach for Lossy Light Field Compression With Multiple Bit Rates Based on Tucker Decomposition via Random Sketching. - Joshitha Ravishankar; Mansi Sharma (IEEE Access, 2022)

An integrated learning and approximation scheme for coding of static or dynamic light fields based on hybrid Tucker-Karhunen-Loève transform-singular value decomposition via tensor double sketching. - Joshitha Ravishankar; Mansi Sharma (IET Signal Process., 2022)

A Hybrid Tucker-VQ Tensor Sketch decomposition model for coding and streaming real world light fields using stack of differently focused images. - Joshitha Ravishankar; Mansi Sharma; Sally Khaidem (Pattern Recognit. Lett., 2022)

A novel hierarchical light field coding scheme based on hybrid stacked multiplicative layers and Fourier disparity layers for glasses-free 3D displays. - Joshitha Ravishankar; Mansi Sharma (Signal Process. Image Commun., 2022)

A Data-Driven Approach based on Dynamic Mode Decomposition for Efficient Encoding of Dynamic Light Fields. - Joshitha Ravishankar; Sally Khaidem; Mansi Sharma (CVPR Workshops, 2023)