Jiali Duan

Computer Vision and Pattern Recognition · 2016–2022

A researcher in the Science corpus: 5 papers; trusts 451 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 140 citations into it
• Artificial Intelligence — 81 citations into it
• Human-Computer Interaction — 26 citations into it
• Model Architectures — 20 citations into it
• Biomedical Engineering — 15 citations into it
• Evaluation & Benchmarks — 11 citations into it
• Safety, Robustness & Interpretability — 11 citations into it
• Optimization & Training — 9 citations into it

Whom Jiali Duan trusts overall

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

1. Karen Simonyan
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Christian Szegedy
5. Andrew Zisserman
6. Yoshua Bengio
7. Yann LeCun
8. Sergey Ioffe
9. Kaiming He
10. Ilya Sutskever

Who trusts Jiali Duan overall

1. Pichao Wang
2. Wanqing Li
3. Philip O. Ogunbona

Papers from Jiali Duan's perspective

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

• Vision-Language Pre-Training with Triple Contrastive Learning (2022) — 392 citations
• Multi-Modality Fusion based on Consensus-Voting and 3D Convolution for Isolated Gesture Recognition (2016) — 39 citations
• An Interpretable Generative Model for Handwritten Digits Synthesis (2019) — 4 citations
• Interpretable Convolutional Neural Networks via Feedforward Design (2018) — 177 citations
• A Unified Framework for Multi-Modal Isolated Gesture Recognition (2018) — 79 citations