Aixuan Li
Computer Vision and Pattern Recognition · 2020–2021
A researcher in the Science corpus: 3 papers; trusts 382 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 116 citations into it
- Cognitive Neuroscience — 27 citations into it
- Artificial Intelligence — 25 citations into it
Whom Aixuan Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Deng-Ping Fan
- Kaiming He
- Ming-Ming Cheng
- Geoffrey E. Hinton
- Alex Krizhevsky
- Ross B. Girshick
- Karen Simonyan
- Andrew Zisserman
- Yoshua Bengio
- Diederik P. Kingma
Who trusts Aixuan Li overall
Papers from Aixuan Li's perspective
Ordered by how strongly the researchers Aixuan Li 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)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Uncertainty-aware Joint Salient Object and Camouflaged Object Detection (2021) — 300 citations
- Simultaneously Localize, Segment and Rank the Camouflaged Objects (2021) — 555 citations
- Weakly-Supervised Salient Object Detection via Scribble Annotations (2020) — 314 citations