Saihui Hou

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 273 researchers and is trusted by 85 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 61 citations into it; #11,175 of 21,575 by trust here, #6,873 by citations
• Artificial Intelligence — 49 citations into it; #2,926 of 35,345 by trust here, #2,853 by citations
• Representation & Self-Supervised Learning — 26 citations into it
• Optimization & Training — 10 citations into it

Whom Saihui Hou trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Ross B. Girshick
4. Ilya Sutskever
5. Yoshua Bengio
6. Kaiming He
7. Oriol Vinyals
8. Jeff Donahue
9. Jia Deng
10. Yann LeCun

Who trusts Saihui Hou overall

1. Tyler L. Hayes
2. Jiangpeng He
3. Da-Wei Zhou
4. Liyuan Wang
5. Yaoyao Liu
6. Arthur Douillard
7. Guile Wu
8. Ali Ayub
9. Gyuhak Kim
10. Xiaoyu Tao

Papers from Saihui Hou's perspective

Ordered by how strongly the researchers Saihui Hou 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. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Lifelong Learning via Progressive Distillation and Retrospection (2018) — 218 citations
• Learning a Unified Classifier Incrementally via Rebalancing (2019) — 1,402 citations
• GaitPart: Temporal Part-Based Model for Gait Recognition (2020) — 552 citations