Li Zhang
Computer Vision and Pattern Recognition · with Brown · 2016–2021
A researcher in the Science corpus: 2 papers; trusts 297 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 96 citations into it; #15,831 of 21,575 by trust here, #5,333 by citations
- Artificial Intelligence — 67 citations into it; #28,542 of 35,345 by trust here, #8,525 by citations
- Model Architectures — 33 citations into it; #2,228 of 2,278 by trust here, #827 by citations
- Efficiency & Compression — 10 citations into it; #1,246 of 1,264 by trust here, #380 by citations
- Optimization & Training — 10 citations into it
Whom Li Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Karen Simonyan
- Andrew Zisserman
- Ross B. Girshick
- Yoshua Bengio
- Yann LeCun
- Alex Graves
- Shaoqing Ren
Who trusts Li Zhang overall
Papers from Li Zhang's perspective
Ordered by how strongly the researchers Li Zhang 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Spatially Adaptive Computation Time for Residual Networks (2016) — 382 citations
- MoViNets: Mobile Video Networks for Efficient Video Recognition (2021) — 299 citations