Lei Tian
Atomic and Molecular Physics, and Optics · 2014–2021
A researcher in the Science corpus: 8 papers; trusts 48 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Atomic and Molecular Physics, and Optics — 47 citations into it; #2,327 of 7,135 by trust here, #3,301 by citations
- Biomedical Engineering — 40 citations into it
- Radiation — 39 citations into it; #88 of 407 by trust here, #94 by citations
- Acoustics and Ultrasonics — 34 citations into it
- Computer Vision and Pattern Recognition — 33 citations into it; #21,269 of 21,575 by trust here, #14,151 by citations
- Biophysics — 26 citations into it
- Media Technology — 20 citations into it
- Structural Biology — 18 citations into it
Whom Lei Tian trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Rodenburg
- Laura Waller
- Xiaoze Ou
- Guoan Zheng
- A. Maiden
- Pierre Thibault
- Joseph W. Goodman
- E.J. Candes
- Changhuei Yang
- Roarke Horstmeyer
Who trusts Lei Tian overall
- Li-Hao Yeh
- Laura Waller
- Jonathan Dong
- E.J. Candes
- Morteza Hasani Shoreh
- Jingshan Zhong
- Chao Zuo
- M. Soltanolkotabi
- Yunzhe Li
- Tom Goldstein
Papers from Lei Tian's perspective
Ordered by how strongly the researchers Lei Tian trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Roadmap on wavefront shaping and deep imaging in complex media (2021) — 184 citations
- High-speed in vitro intensity diffraction tomography (2019) — 89 citations
- Deep speckle correlation: a deep learning approach toward scalable imaging through scattering media (2018) — 434 citations
- Experimental robustness of Fourier Ptychography phase retrieval algorithms (2015) — 341 citations
- Computational illumination for high-speed in vitro Fourier ptychographic microscopy (2015) — 309 citations
- Transport of intensity phase retrieval and computational imaging for partially coherent fields: The phase space perspective (2015) — 297 citations
- 3D intensity and phase imaging from light field measurements in an LED array microscope (2015) — 434 citations
- Multiplexed coded illumination for Fourier Ptychography with an LED array microscope. (2014) — 553 citations