Minhyuk Sung

Computer Vision and Pattern Recognition · 2015–2018

A researcher in the Science corpus: 2 papers; trusts 244 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 67 citations into it; #16,626 of 21,575 by trust here, #12,419 by citations
• Computational Mechanics — 28 citations into it; #4,579 of 10,001 by trust here, #2,361 by citations
• Aerospace Engineering — 22 citations into it
• 3D Vision & Pose — 16 citations into it
• Geology — 15 citations into it; #320 of 687 by trust here, #245 by citations
• Artificial Intelligence — 12 citations into it

Whom Minhyuk Sung trusts overall

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

1. Ross B. Girshick
2. Vladimir Kolmogorov
3. Vladimir G. Kim
4. Niloy J. Mitra
5. Leonidas J. Guibas
6. Pedro F. Felzenszwalb
7. Kaiming He
8. Alex Krizhevsky
9. Geoffrey E. Hinton
10. Qi-Xing Huang

Who trusts Minhyuk Sung overall

1. Angela Dai
2. Charles Ruizhongtai Qi
3. Lequan Yu
4. Panos Achlioptas
5. Binh-Son Hua
6. Wentao Yuan
7. Minghua Liu
8. Xiaoguang Han
9. Matthias Nießner
10. Shubham Tulsiani

Papers from Minhyuk Sung's perspective

Ordered by how strongly the researchers Minhyuk Sung 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

• GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud (2018) — 370 citations
• Data-driven structural priors for shape completion (2015) — 194 citations