Cheng Li
Computer Vision and Pattern Recognition · with Wang · 2015–2019
A researcher in the Science corpus: 4 papers; trusts 464 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 126 citations into it; #9,302 of 21,575 by trust here, #2,814 by citations
- Artificial Intelligence — 63 citations into it; #32,154 of 35,345 by trust here, #5,120 by citations
- Representation & Self-Supervised Learning — 29 citations into it
- Model Architectures — 17 citations into it
- Signal Processing — 17 citations into it
- Media Technology — 5 citations into it
Whom Cheng Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- David G. Lowe
- Kaiming He
- Yoshua Bengio
- Ross B. Girshick
- Yann LeCun
- Christian Szegedy
- Shaoqing Ren
- Diederik P. Kingma
Who trusts Cheng Li overall
- Xuanyi Dong
- Bjoern Browatzki
- Yue Wu
- Jordan Yaniv
- Marek Kowalski
- Wenguan Wang
- Ke Sun
- Sina Honari
- George Trigeorgis
- Xiangyu Zhu
Papers from Cheng Li's perspective
Ordered by how strongly the researchers Cheng Li 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)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Residual Attention Network for Image Classification (2017) — 3,644 citations
- Face alignment by coarse-to-fine shape searching (2015) — 540 citations
- The Devil of Face Recognition is in the Noise (2018) — 215 citations
- Deep Comprehensive Correlation Mining for Image Clustering (2019) — 196 citations