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Sally Khaidem
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2020 – today
- 2023
- [c3]Joshitha Ravishankar, Sally Khaidem, Mansi Sharma:
A Data-Driven Approach based on Dynamic Mode Decomposition for Efficient Encoding of Dynamic Light Fields. CVPR Workshops 2023: 3447-3453 - [c2]Sally Khaidem, Abhipraay Nevatia, Mansi Sharma:
A Novel Approach for Neuromorphic Vision Data Compression based on Deep Belief Network. ICVGIP 2023: 24:1-24:7 - 2022
- [j1]Joshitha Ravishankar, Mansi Sharma, Sally Khaidem:
A Hybrid Tucker-VQ Tensor Sketch decomposition model for coding and streaming real world light fields using stack of differently focused images. Pattern Recognit. Lett. 159: 23-30 (2022) - [i3]Sally Khaidem, Mansi Sharma:
An Integrated Representation & Compression Scheme Based on Convolutional Autoencoders with 4D DCT Perceptual Encoding for High Dynamic Range Light Fields. CoRR abs/2206.10131 (2022) - [i2]Sally Khaidem, Mansi Sharma:
A Novel Light Field Coding Scheme Based on Deep Belief Network and Weighted Binary Images for Additive Layered Displays. CoRR abs/2210.01447 (2022) - [i1]Sally Khaidem, Mansi Sharma, Abhipraay Nevatia:
A Novel Approach for Neuromorphic Vision Data Compression based on Deep Belief Network. CoRR abs/2210.15362 (2022) - 2021
- [c1]Joshitha Ravishankar, Mansi Sharma, Sally Khaidem:
A Novel Compression Scheme Based on Hybrid Tucker-Vector Quantization Via Tensor Sketching for Dynamic Light Fields Acquired Through Coded Aperture Camera. IC3D 2021: 1-8
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