Xibin Zhao
Computer Vision and Pattern Recognition · 2018–2021
A researcher in the Science corpus: 7 papers; trusts 299 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 93 citations into it; #16,077 of 21,575 by trust here, #9,187 by citations
- Artificial Intelligence — 51 citations into it
- Computational Mechanics — 24 citations into it; #7,446 of 10,001 by trust here, #4,600 by citations
- Geology — 13 citations into it; #513 of 687 by trust here, #474 by citations
- Aerospace Engineering — 12 citations into it
- Meta & Continual Learning — 9 citations into it
- Model Architectures — 9 citations into it
- Optimization & Training — 9 citations into it
Whom Xibin Zhao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Karen Simonyan
- Diederik P. Kingma
- Alex Krizhevsky
- Yoshua Bengio
- Ross B. Girshick
- Shaoqing Ren
- Yann LeCun
- Andrew Zisserman
Who trusts Xibin Zhao overall
Papers from Xibin Zhao's perspective
Ordered by how strongly the researchers Xibin 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Divide and Conquer: Question-Guided Spatio-Temporal Contextual Attention for Video Question Answering (2020) — 131 citations
- GVCNN: Group-View Convolutional Neural Networks for 3D Shape Recognition (2018) — 623 citations
- Survey on Facial Expression Recognition: History, Applications, and Challenges (2021) — 18 citations
- IExpressNet: Facial Expression Recognition with Incremental Classes (2020) — 22 citations
- Hypergraph Learning: Methods and Practices (2020) — 378 citations
- Physiological Signals-based Emotion Recognition via High-order Correlation Learning (2019) — 17 citations
- MeshNet: Mesh Neural Network for 3D Shape Representation (2018) — 367 citations