Xinyu Pan
Computer Vision and Pattern Recognition · 2018–2019
A researcher in the Science corpus: 3 papers; trusts 492 researchers and is trusted by 85 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 75 citations into it; #11,165 of 21,575 by trust here, #6,485 by citations
- Artificial Intelligence — 63 citations into it; #2,927 of 35,345 by trust here, #2,853 by citations
- Representation & Self-Supervised Learning — 26 citations into it
- Efficiency & Compression — 20 citations into it; #652 of 1,264 by trust here, #553 by citations
- Optimization & Training — 10 citations into it
- Model Architectures — 9 citations into it
- Evaluation & Benchmarks — 6 citations into it
Whom Xinyu Pan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick
- Alex Krizhevsky
- Geoffrey E. Hinton
- Kaiming He
- Yoshua Bengio
- Yann LeCun
- Ilya Sutskever
- Jia Deng
- Diederik P. Kingma
- Andrew Zisserman
Who trusts Xinyu Pan overall
- Tyler L. Hayes
- Jiangpeng He
- Da-Wei Zhou
- Liyuan Wang
- Yaoyao Liu
- Arthur Douillard
- Guile Wu
- Ali Ayub
- Gyuhak Kim
- James Smith
Papers from Xinyu Pan's perspective
Ordered by how strongly the researchers Xinyu Pan trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Lifelong Learning via Progressive Distillation and Retrospection (2018) — 218 citations
- Quantization Mimic: Towards Very Tiny CNN for Object Detection (2018) — 101 citations
- Learning a Unified Classifier Incrementally via Rebalancing (2019) — 1,402 citations