Zhong Ji

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 124 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 36 citations into it
• Signal Processing — 19 citations into it
• Model Architectures — 10 citations into it
• Natural Language Processing — 8 citations into it
• Artificial Intelligence — 7 citations into it

Whom Zhong Ji trusts overall

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

1. Michael Gygli
2. Alex Graves
3. Christian Szegedy
4. Geoffrey E. Hinton
5. J. Urgen Schmidhuber
6. Yoshua Bengio
7. Sepp Hochreiter
8. Thang Luong
9. Alex Krizhevsky
10. Kaiming He

Who trusts Zhong Ji overall

1. Evlampios Apostolidis

Papers from Zhong Ji's perspective

Ordered by how strongly the researchers Zhong Ji 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. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Going deeper with convolutions
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Deep Attentive Video Summarization With Distribution Consistency Learning (2020) — 83 citations
• Video Summarization With Attention-Based Encoder–Decoder Networks (2017) — 373 citations