Jian Lian

Computer Vision and Pattern Recognition · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 54 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it
• Artificial Intelligence — 33 citations into it
• Model Architectures — 16 citations into it
• Signal Processing — 13 citations into it
• Analytical Chemistry — 6 citations into it
• Representation & Self-Supervised Learning — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Jian Lian trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Yoshua Bengio
4. Robert Tibshirani
5. Alex Krizhevsky
6. Yann LeCun
7. Ross B. Girshick
8. Ilya Sutskever
9. Shaoqing Ren
10. Aapo Hyvärinen

Papers from Jian Lian's perspective

Ordered by how strongly the researchers Jian Lian 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. 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. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Feature dimensionality reduction: a review (2022) — 678 citations
• Detection and segmentation of overlapped fruits based on optimized mask R-CNN application in apple harvesting robot (2020) — 306 citations