Xiao Tan
Computer Vision and Pattern Recognition · with Wen · 2019–2020
A researcher in the Science corpus: 3 papers; trusts 427 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 88 citations into it; #20,764 of 21,575 by trust here, #12,419 by citations
- Artificial Intelligence — 45 citations into it
- Model Architectures — 18 citations into it
- Endocrinology, Diabetes and Metabolism — 6 citations into it
- Optimization & Training — 6 citations into it
Whom Xiao Tan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Karen Simonyan
- Andrew Zisserman
- Alex Krizhevsky
- Ross B. Girshick
- Christian Szegedy
- Yoshua Bengio
- Yann LeCun
- Diederik P. Kingma
Who trusts Xiao Tan overall
Papers from Xiao Tan's perspective
Ordered by how strongly the researchers Xiao Tan 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition (2019) — 135 citations
- Dynamic Inference: A New Approach Toward Efficient Video Action Recognition (2020) — 37 citations
- Segment as Points for Efficient Online Multi-Object Tracking and Segmentation (2020) — 83 citations