Nitish Padmanaban

Media Technology · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Media Technology — 9 citations into it
• Atomic and Molecular Physics, and Optics — 5 citations into it

Whom Nitish Padmanaban trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. George Barbastathis
2. Diederik P. Kingma
3. Stephen A. Benton

Papers from Nitish Padmanaban's perspective

Ordered by how strongly the researchers Nitish Padmanaban trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
3. Phase recovery and holographic image reconstruction using deep learning in neural networks (Light: Science & Applications)
4. Phase Retrieval with Application to Optical Imaging: A contemporary overview (IEEE Signal Processing Magazine)
5. On the use of deep learning for computational imaging (NanoScience + Engineering)
6. Holographic Imaging
7. State of the Art in Holographic Displays: A Survey (Journal of Display Technology)
8. A 3D integral imaging optical see-through head-mounted display. (Optics Express)
9. Holographic near-eye displays for virtual and augmented reality (ACM Transactions on Graphics)
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• Neural holography with camera-in-the-loop training (2020) — 412 citations