Xiaoqi Zhao
Computer Vision and Pattern Recognition · 2020–2022
A researcher in the Science corpus: 4 papers; trusts 825 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 159 citations into it; #11,069 of 21,575 by trust here, #14,822 by citations
- Cognitive Neuroscience — 37 citations into it
- Artificial Intelligence — 24 citations into it
- Sensory Systems — 19 citations into it
- Model Architectures — 17 citations into it
- Media Technology — 13 citations into it
- Human-Computer Interaction — 12 citations into it
- Oncology — 9 citations into it
Whom Xiaoqi Zhao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Karen Simonyan
- Ross B. Girshick
- Geoffrey E. Hinton
- Alex Krizhevsky
- Deng-Ping Fan
- Andrew Zisserman
- Diederik P. Kingma
- Yoshua Bengio
- Yann LeCun
Who trusts Xiaoqi Zhao overall
- Youwei Pang
- Deng-Ping Fan
- Nian Liu
- B. Dong
- Ling Shao
- Ni Zhang
- Mingchen Zhuge
- Tian-Zhu Xiang
- Wenhai Wang
Papers from Xiaoqi Zhao's perspective
Ordered by how strongly the researchers Xiaoqi 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)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (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
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection (2022) — 399 citations
- Automatic Polyp Segmentation via Multi-scale Subtraction Network (2021) — 355 citations
- Multi-Scale Interactive Network for Salient Object Detection (2020) — 759 citations
- Suppress and Balance: A Simple Gated Network for Salient Object Detection (2020) — 518 citations