Kuo-Hao Zeng

Computer Vision and Pattern Recognition · 2016–2021

A researcher in the Science corpus: 4 papers; trusts 474 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 110 citations into it; #14,337 of 21,575 by trust here, #8,205 by citations
• Artificial Intelligence — 69 citations into it; #23,221 of 35,345 by trust here, #13,962 by citations
• Reinforcement Learning — 37 citations into it
• Multimodal Learning — 29 citations into it; #950 of 1,211 by trust here, #758 by citations
• Natural Language Processing — 28 citations into it
• Control and Systems Engineering — 23 citations into it
• Evaluation & Benchmarks — 21 citations into it
• Model Architectures — 7 citations into it

Whom Kuo-Hao Zeng trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Alex Krizhevsky
4. Yoshua Bengio
5. Karen Simonyan
6. Kaiming He
7. Ilya Sutskever
8. Yann LeCun
9. Oriol Vinyals
10. Sepp Hochreiter

Who trusts Kuo-Hao Zeng overall

1. Zhou Zhao
2. Thao Minh Le
3. Dejing Xu
4. Yueting Zhuang
5. Devshree Patel
6. Yangyu Chen
7. Hongyang Xue
8. Aman Chadha
9. Vuong Le
10. Evlampios Apostolidis

Papers from Kuo-Hao Zeng's perspective

Ordered by how strongly the researchers Kuo-Hao Zeng 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
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

• AllenAct: A Framework for Embodied AI Research (2020) — 80 citations
• Leveraging Video Descriptions to Learn Video Question Answering (2016) — 195 citations
• Pushing it out of the Way: Interactive Visual Navigation (2021) — 35 citations
• Title Generation for User Generated Videos (2016) — 73 citations