Zilei Wang

Computer Vision and Pattern Recognition · 2015–2023

A researcher in the Science corpus: 5 papers; trusts 416 researchers and is trusted by 85 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 101 citations into it; #11,105 of 21,575 by trust here, #4,286 by citations
• Artificial Intelligence — 77 citations into it; #2,928 of 35,345 by trust here, #2,839 by citations
• Representation & Self-Supervised Learning — 31 citations into it
• Media Technology — 23 citations into it
• Optimization & Training — 13 citations into it
• Evaluation & Benchmarks — 9 citations into it
• Computer Networks and Communications — 6 citations into it

Whom Zilei Wang trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Ross B. Girshick
4. Kaiming He
5. Yoshua Bengio
6. Yann LeCun
7. Ilya Sutskever
8. Diederik P. Kingma
9. Karen Simonyan
10. Jia Deng

Who trusts Zilei Wang overall

1. Tyler L. Hayes
2. Jiangpeng He
3. Da-Wei Zhou
4. Liyuan Wang
5. Yaoyao Liu
6. Arthur Douillard
7. Guile Wu
8. Ali Ayub
9. James Smith
10. Gyuhak Kim

Papers from Zilei Wang's perspective

Ordered by how strongly the researchers Zilei Wang 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
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

• Look and Think Twice: Capturing Top-Down Visual Attention with Feedback Convolutional Neural Networks (2015) — 398 citations
• Lifelong Learning via Progressive Distillation and Retrospection (2018) — 218 citations
• Meta-SR: A Magnification-Arbitrary Network for Super-Resolution (2019) — 519 citations
• Learning a Unified Classifier Incrementally via Rebalancing (2019) — 1,402 citations
• SimpleNet: A Simple Network for Image Anomaly Detection and Localization (2023) — 600 citations