Wei-Sheng Lai
Computer Vision and Pattern Recognition · 2016–2022
A researcher in the Science corpus: 7 papers; trusts 1,041 researchers and is trusted by 78 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 274 citations into it; #3,275 of 21,575 by trust here, #3,141 by citations
- Media Technology — 115 citations into it; #254 of 3,621 by trust here, #231 by citations
- Artificial Intelligence — 32 citations into it
- Generative Models — 30 citations into it; #371 of 1,956 by trust here, #513 by citations
- Evaluation & Benchmarks — 24 citations into it
- Model Architectures — 24 citations into it
- Computational Mechanics — 11 citations into it
- Optimization & Training — 10 citations into it
Whom Wei-Sheng Lai trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Diederik P. Kingma
- Geoffrey E. Hinton
- Karen Simonyan
- Alex Krizhevsky
- Ross B. Girshick
- Andrew Zisserman
- X. Zhang
- Yann LeCun
- Yoshua Bengio
Who trusts Wei-Sheng Lai overall
- Yulun Zhang
- Saeed Anwar
- Kai Zhang
- Xintao Wang
- Namhyuk Ahn
- Radu Timofte
- Zheng Hui
- Jinjin Gu
- Chao Dong
- Yochai Blau
Papers from Wei-Sheng Lai's perspective
Ordered by how strongly the researchers Wei-Sheng Lai trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution (2017) — 2,816 citations
- A Comparative Study for Single Image Blind Deblurring (2016) — 418 citations
- Depth-Aware Video Frame Interpolation (2019) — 579 citations
- Learning Blind Video Temporal Consistency (2018) — 486 citations
- MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and Enhancement (2018) — 363 citations
- Fast and Accurate Image Super-Resolution with Deep Laplacian Pyramid Networks (2017) — 908 citations
- Deep Image Deblurring: A Survey (2022) — 385 citations