Hongxun Yao

Computer Vision and Pattern Recognition · 2013–2020

A researcher in the Science corpus: 10 papers; trusts 831 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 197 citations into it; #10,180 of 21,575 by trust here, #5,941 by citations
• Computational Mechanics — 60 citations into it
• Artificial Intelligence — 40 citations into it
• Media Technology — 37 citations into it; #1,476 of 3,621 by trust here, #2,280 by citations
• Aerospace Engineering — 31 citations into it
• Representation & Self-Supervised Learning — 20 citations into it
• Model Architectures — 16 citations into it
• Electrical and Electronic Engineering — 13 citations into it

Whom Hongxun Yao trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yoshua Bengio
4. David G. Lowe
5. Diederik P. Kingma
6. Kaiming He
7. Karen Simonyan
8. Yann LeCun
9. Ross B. Girshick
10. Ilya Sutskever

Who trusts Hongxun Yao overall

1. Gong Cheng
2. Qi Wang
3. Nantheera Anantrasirichai
4. Timothée Lesort
5. Jing Gao
6. Wan Zhu

Papers from Hongxun Yao's perspective

Ordered by how strongly the researchers Hongxun Yao trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Pix2Vox: Context-Aware 3D Reconstruction From Single and Multi-View Images (2019) — 386 citations
• Hedged Deep Tracking (2016) — 677 citations
• Exploring Principles-of-Art Features For Image Emotion Recognition (2014) — 358 citations
• Sparse coding based visual tracking: Review and experimental comparison (2013) — 295 citations
• Visualizing and Comparing Convolutional Neural Networks (2014) — 54 citations
• GRNet: Gridding Residual Network for Dense Point Cloud Completion (2020) — 449 citations
• Deep Feature Fusion for VHR Remote Sensing Scene Classification (2017) — 419 citations
• An Informative Feature Selection Method Based on Sparse PCA for VHR Scene Classification (2016) — 29 citations
• Auto-encoder based dimensionality reduction (2016) — 930 citations
• Dimensionality reduction strategy based on auto-encoder (2015) — 28 citations