Wei He
Computer Vision and Pattern Recognition · with Liang · 2020–2021
A researcher in the Science corpus: 3 papers; trusts 503 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 97 citations into it
- Artificial Intelligence — 71 citations into it
- Model Architectures — 24 citations into it
- Efficiency & Compression — 16 citations into it
- Optimization & Training — 12 citations into it
- Meta & Continual Learning — 11 citations into it
- Media Technology — 5 citations into it
- Reinforcement Learning — 5 citations into it
Whom Wei He trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- Sergey Ioffe
- Ross B. Girshick
- Christian Szegedy
- Liang-Chieh Chen
- Yann LeCun
- Yoshua Bengio
- Diederik P. Kingma
Papers from Wei He's perspective
Ordered by how strongly the researchers Wei He 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
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Long Short-Term Memory
- Going deeper with convolutions
Their papers
- AlterSGD: Finding Flat Minima for Continual Learning by Alternative Training (2021) — 8 citations
- CAP: Context-Aware Pruning for Semantic Segmentation (2021) — 42 citations
- Efficient Attention Network: Accelerate Attention by Searching Where to Plug (2020) — 12 citations