Fei Sun
Computer Vision and Pattern Recognition · with Wu · 2018–2023
A researcher in the Science corpus: 4 papers; trusts 145 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 124 citations into it; #16,969 of 21,575 by trust here, #3,445 by citations
- Artificial Intelligence — 87 citations into it
- Efficiency & Compression — 56 citations into it; #1,130 of 1,264 by trust here, #222 by citations
- Model Architectures — 32 citations into it
Whom Fei Sun trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Diederik P. Kingma
- Karen Simonyan
- Yoshua Bengio
- Ross B. Girshick
- Jia Deng
- Yann LeCun
- Christian Szegedy
Who trusts Fei Sun overall
Papers from Fei Sun's perspective
Ordered by how strongly the researchers Fei Sun 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
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search (2018) — 1,467 citations
- ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation (2018) — 294 citations
- EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything (2023) — 303 citations
- Machine Learning at Facebook: Understanding Inference at the Edge (2019) — 490 citations