Chaoxu Guo
Computer Vision and Pattern Recognition · 2019–2021
A researcher in the Science corpus: 3 papers; trusts 503 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 149 citations into it
- Aerospace Engineering — 71 citations into it
- Computational Mechanics — 43 citations into it
- Geology — 34 citations into it
- Artificial Intelligence — 29 citations into it
Whom Chaoxu Guo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- Shaoqing Ren
- Tsung-Yi Lin
- Yann LeCun
- Yoshua Bengio
- Karen Simonyan
- Diederik P. Kingma
Who trusts Chaoxu Guo overall
- Chien-Yao Wang
- Tianwei Yin
- Jiageng Mao
- Wu Zheng
- Runsheng Xu
- Shaoshuai Shi
- I-Hau Yeh
- Ishan Misra
- Yujing Xue
- Xingyi Zhou
Papers from Chaoxu Guo's perspective
Ordered by how strongly the researchers Chaoxu Guo 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
- 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)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection (2021) — 601 citations
- PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection (2019) — 2,288 citations
- AugFPN: Improving Multi-Scale Feature Learning for Object Detection (2019) — 495 citations