Shugao Ma

Computer Vision and Pattern Recognition · 2014–2018

A researcher in the Science corpus: 4 papers; trusts 725 researchers and is trusted by 336 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 142 citations into it; #2,166 of 21,575 by trust here, #3,955 by citations
• Artificial Intelligence — 43 citations into it; #3,188 of 35,345 by trust here, #7,112 by citations
• Evaluation & Benchmarks — 14 citations into it
• Generative Models — 14 citations into it
• Aerospace Engineering — 11 citations into it
• Media Technology — 6 citations into it
• Model Architectures — 6 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Shugao Ma trusts overall

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

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

Who trusts Shugao Ma overall

1. Antonino Furnari
2. Martin Danelljan
3. Yu Kong
4. Jiyang Gao
5. Qiuhong Ke
6. Giovanni Maria Farinella
7. Jun Liu
8. Chao Ma
9. Hyeonseob Nam
10. Fahad Shahbaz Khan

Papers from Shugao Ma's perspective

Ordered by how strongly the researchers Shugao Ma 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Learning Activity Progression in LSTMs for Activity Detection and Early Detection (2016) — 392 citations
• MEEM: Robust Tracking via Multiple Experts Using Entropy Minimization (2014) — 1,129 citations
• Recycle-GAN: Unsupervised Video Retargeting (2018) — 319 citations
• Salient Object Subitizing (2015) — 119 citations