Bo Zhao
Computer Vision and Pattern Recognition · with Meng · 2018–2023
A researcher in the Science corpus: 3 papers; trusts 568 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 115 citations into it; #9,898 of 21,575 by trust here, #9,435 by citations
- Artificial Intelligence — 58 citations into it
- Generative Models — 54 citations into it; #1,120 of 1,956 by trust here, #1,287 by citations
- Multimodal Learning — 36 citations into it; #1,067 of 1,211 by trust here, #997 by citations
- Evaluation & Benchmarks — 18 citations into it
- Model Architectures — 13 citations into it
- Optimization & Training — 10 citations into it
- Representation & Self-Supervised Learning — 10 citations into it
Whom Bo Zhao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Karen Simonyan
- Yoshua Bengio
- Ilya Sutskever
- Andrew Zisserman
- Sergey Ioffe
- Yann LeCun
Who trusts Bo Zhao overall
- Tianfu Wu
- Tobias Hinz
- Haotian Liu
- Oron Ashual
- Zuopeng Yang
- Yuheng Li
- Zejian Li
- Stanislav Frolov
- Tristan Sylvain
- Lior Wolf
Papers from Bo Zhao's perspective
Ordered by how strongly the researchers Bo Zhao 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Image Generation From Layout (2018) — 241 citations
- SVIT: Scaling up Visual Instruction Tuning (2023) — 176 citations
- Layout2image: Image Generation from Layout (2020) — 45 citations