Sally Khaidem

Orcid: 0000-0001-5262-6724

According to our database1, Sally Khaidem authored at least 10 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Lightweight and high-speed contextual intensity image reconstruction from event-based sensors with adaptive FastDynamicNet.
J. Electronic Imaging, 2025

Blur to Brilliance: Neuromorphic Data Guided Deblurring and HDR Novel View Synthesis.
IEEE Access, 2025

Towards Efficient Neuromorphic Data Processing: A Novel Representation with Lossless Spatio-Temporal Compression.
Proceedings of the International Conference on Visual Communications and Image Processing, 2025

2024
A Deep Belief Network Approach to Scalable Compression of Light Field Data for Auto-Stereoscopic Displays.
Proceedings of the 35th British Machine Vision Conference, 2024

2023
A Novel Approach for Neuromorphic Vision Data Compression based on Deep Belief Network.
Proceedings of the Fourteenth Indian Conference on Computer Vision, 2023

A Data-Driven Approach based on Dynamic Mode Decomposition for Efficient Encoding of Dynamic Light Fields.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
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., 2022

A Novel Light Field Coding Scheme Based on Deep Belief Network and Weighted Binary Images for Additive Layered Displays.
CoRR, 2022

An Integrated Representation & Compression Scheme Based on Convolutional Autoencoders with 4D DCT Perceptual Encoding for High Dynamic Range Light Fields.
CoRR, 2022

2021
A Novel Compression Scheme Based on Hybrid Tucker-Vector Quantization Via Tensor Sketching for Dynamic Light Fields Acquired Through Coded Aperture Camera.
Proceedings of the International Conference on 3D Immersion, 2021


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