Hongkai Yu

Computer Vision and Pattern Recognition · 2015–2023

A researcher in the Science corpus: 3 papers; trusts 45 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 50 citations into it
• Control and Systems Engineering — 5 citations into it

Whom Hongkai Yu trusts overall

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

1. Yuri Boykov
2. Pushmeet Kohli
3. Eran Borenstein
4. Geoffrey E. Hinton
5. Victor S. Lempitsky
6. Kaiming He
7. Alex Krizhevsky
8. Diederik P. Kingma
9. Radhakrishna Achanta
10. Robert Tibshirani

Who trusts Hongkai Yu overall

1. Sabarinath Mahadevan
2. Anna Khoreva
3. Paul Voigtlaender

Papers from Hongkai Yu's perspective

Ordered by how strongly the researchers Hongkai Yu 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. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
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

• Loosecut: Interactive image segmentation with loosely bounded boxes (2015) — 46 citations
• V2V4Real: A Real-World Large-Scale Dataset for Vehicle-to-Vehicle Cooperative Perception (2023) — 296 citations
• ScholarWorks @ UTRGV ScholarWorks @ UTRGV