Zhifeng Gao

Computer Vision and Pattern Recognition · Neural Information Processing Systems · 2017–2021

A researcher in the Science corpus: 4 papers; trusts 271 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 85 citations into it
• Artificial Intelligence — 46 citations into it
• Generative Models — 40 citations into it
• Model Architectures — 27 citations into it
• Optimization & Training — 13 citations into it
• Reinforcement Learning — 12 citations into it
• Natural Language Processing — 11 citations into it
• Representation & Self-Supervised Learning — 11 citations into it

Whom Zhifeng Gao trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Ilya Sutskever
4. Alex Graves
5. Yoshua Bengio
6. Yann LeCun
7. Alex Krizhevsky
8. Sepp Hochreiter
9. J. Urgen Schmidhuber
10. Oriol Vinyals

Who trusts Zhifeng Gao overall

1. Yunbo Wang
2. Zhangyang Gao
3. Vincent Le Guen
4. Zhihui Lin
5. Sergiu Oprea

Papers from Zhifeng Gao's perspective

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

Their papers

• PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning (2021) — 647 citations
• PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning (2018) — 613 citations
• PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs (2017) — 1,007 citations
• North Atlantic Right Whale call detection with very deep convolutional neural networks (2017) — 15 citations