Runhao Zeng

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 5 papers; trusts 485 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 132 citations into it; #20,816 of 21,575 by trust here, #8,952 by citations
• Artificial Intelligence — 106 citations into it; #35,323 of 35,345 by trust here, #14,438 by citations
• Representation & Self-Supervised Learning — 30 citations into it
• Reinforcement Learning — 23 citations into it
• Model Architectures — 12 citations into it
• Optimization & Training — 8 citations into it
• Management Science and Operations Research — 7 citations into it
• Endocrinology, Diabetes and Metabolism — 6 citations into it

Whom Runhao Zeng trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Karen Simonyan
4. Diederik P. Kingma
5. Geoffrey E. Hinton
6. Andrew Zisserman
7. Alex Krizhevsky
8. Yoshua Bengio
9. Yann LeCun
10. Ilya Sutskever

Who trusts Runhao Zeng overall

1. Chen Zhao
2. Chen-Lin Zhang
3. Yong Guo
4. Jonghwan Mun
5. Hao Zhou
6. Mengmeng Xu
7. Peng Wu
8. Yixuan Su
9. Xiaolong Liu
10. Ali K. Thabet

Papers from Runhao Zeng's perspective

Ordered by how strongly the researchers Runhao Zeng 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
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

• Graph Convolutional Networks for Temporal Action Localization (2019) — 542 citations
• Location-Aware Graph Convolutional Networks for Video Question Answering (2020) — 191 citations
• RSPNet: Relative Speed Perception for Unsupervised Video Representation Learning (2020) — 143 citations
• Dense Regression Network for Video Grounding (2020) — 339 citations
• Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction (2019) — 3 citations