Anhong Guo
Computer Vision and Pattern Recognition · 2018–2021
A researcher in the Science corpus: 3 papers; trusts 64 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 65 citations into it
- Artificial Intelligence — 36 citations into it
- Safety, Robustness & Interpretability — 26 citations into it
- Multimodal Learning — 17 citations into it
Whom Anhong Guo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Joy Buolamwini
- Alex Krizhevsky
- Timnit Gebru
- Kaiming He
- Yoshua Bengio
- Ilya Sutskever
- Yann LeCun
- Sergey Ioffe
Who trusts Anhong Guo overall
Papers from Anhong Guo's perspective
Ordered by how strongly the researchers Anhong Guo 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)
- 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Microsoft COCO: Common Objects in Context
- Et al
Their papers
- VizWiz Grand Challenge: Answering Visual Questions from Blind People (2018) — 1,264 citations
- Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs (2021) — 98 citations
- “It’s Complicated”: Negotiating Accessibility and (Mis)Representation in Image Descriptions of Race, Gender, and Disability (2021) — 146 citations