Bo Wang
Computer Vision and Pattern Recognition · arXiv.org · 2023–2024
A researcher in the Science corpus: 3 papers; trusts 172 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 60 citations into it; #12,465 of 21,575 by trust here, #11,286 by citations
- Artificial Intelligence — 36 citations into it; #19,963 of 35,345 by trust here, #16,771 by citations
- Model Architectures — 19 citations into it
- Biomedical Engineering — 10 citations into it
- Neurology — 8 citations into it
- Optimization & Training — 8 citations into it
- Biophysics — 6 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Bo Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Kaiming He
- Jimmy Ba
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Ashish Vaswani
- Ross B. Girshick
- Yann LeCun
- Ilya Sutskever
Who trusts Bo Wang overall
Papers from Bo Wang's perspective
Ordered by how strongly the researchers Bo Wang 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)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- 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)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Segment Anything in Medical Images (2023) — 1,770 citations
- U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation (2024) — 896 citations
- Segment anything in medical images (2023) — 1,437 citations