Ho Kei Cheng

Computer Vision and Pattern Recognition · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 651 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 63 citations into it; #18,160 of 21,575 by trust here, #14,822 by citations
• Artificial Intelligence — 19 citations into it
• Model Architectures — 12 citations into it
• Evaluation & Benchmarks — 8 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Optimization & Training — 5 citations into it

Whom Ho Kei Cheng trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Ross B. Girshick
6. Paul Voigtlaender
7. Yoshua Bengio
8. Federico Perazzi
9. Yann LeCun
10. Ilya Sutskever

Who trusts Ho Kei Cheng overall

1. Wenlong Huang
2. Lei Ke
3. Roya Firoozi
4. Alexander Gerhard Schwing
5. Ruohan Zhang
6. Xiangtai Li
7. Mingqiao Ye
8. Enxin Song

Papers from Ho Kei Cheng's perspective

Ordered by how strongly the researchers Ho Kei Cheng 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. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model (2022) — 669 citations
• Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation (2021) — 382 citations