Dalin Zhang

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 52 citations into it
• Artificial Intelligence — 38 citations into it
• Signal Processing — 19 citations into it
• Cognitive Neuroscience — 14 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Dalin Zhang trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Yu Guan
5. Ronald J. Williams
6. Alex Krizhevsky
7. Nils Y. Hammerla
8. Jimmy Ba
9. Abdulhamit Subasi
10. Hugo Larochelle

Papers from Dalin Zhang's perspective

Ordered by how strongly the researchers Dalin Zhang 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
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. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition (2020) — 300 citations
• Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognition (2020) — 326 citations
• Deep Learning for Sensor-based Human Activity Recognition (2020) — 862 citations