Haisheng Su

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 419 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 62 citations into it; #11,046 of 21,575 by trust here, #12,689 by citations
• Artificial Intelligence — 41 citations into it
• Model Architectures — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Haisheng Su trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Andrew Zisserman
5. Alex Krizhevsky
6. Karen Simonyan
7. Limin Wang
8. Shaoqing Ren
9. Yann LeCun
10. Yoshua Bengio

Who trusts Haisheng Su overall

1. Jie Lei
2. Chen Zhao

Papers from Haisheng Su's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
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. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• BSN: Boundary Sensitive Network for Temporal Action Proposal Generation (2018) — 794 citations
• Collaborative Distillation in the Parameter and Spectrum Domains for Video Action Recognition (2020) — 8 citations