Chenxi Duan
Computer Vision and Pattern Recognition · 2019–2021
A researcher in the Science corpus: 5 papers; trusts 796 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 158 citations into it; #8,583 of 21,575 by trust here, #14,151 by citations
- Artificial Intelligence — 86 citations into it
- Model Architectures — 54 citations into it
- Media Technology — 49 citations into it; #1,119 of 3,621 by trust here, #1,859 by citations
- Atmospheric Science — 19 citations into it
- Natural Language Processing — 14 citations into it
- Ecology — 11 citations into it
- Radiology, Nuclear Medicine and Imaging — 11 citations into it
Whom Chenxi Duan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Ross B. Girshick
- Alex Krizhevsky
- Yoshua Bengio
- Yann LeCun
- Diederik P. Kingma
- Ilya Sutskever
- Christian Szegedy
- Liang-Chieh Chen
Who trusts Chenxi Duan overall
Papers from Chenxi Duan's perspective
Ordered by how strongly the researchers Chenxi Duan 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)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- 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
- UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery (2021) — 1,269 citations
- A Novel Transformer Based Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images (2021) — 416 citations
- Multiattention Network for Semantic Segmentation of Fine-Resolution Remote Sensing Images (2020) — 578 citations
- Multistage Attention ResU-Net for Semantic Segmentation of Fine-Resolution Remote Sensing Images (2020) — 302 citations
- Classification of Hyperspectral Image Based on Double-Branch Dual-Attention Mechanism Network (2019) — 409 citations