Sidi Lu
Computer Vision and Pattern Recognition · 2017–2020
A researcher in the Science corpus: 3 papers; trusts 88 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 87 citations into it; #20,185 of 21,575 by trust here, #10,154 by citations
- Artificial Intelligence — 57 citations into it; #29,955 of 35,345 by trust here, #8,007 by citations
- Automotive Engineering — 36 citations into it
- Aerospace Engineering — 27 citations into it
- Natural Language Processing — 22 citations into it; #5,639 of 5,688 by trust here, #2,473 by citations
- Generative Models — 15 citations into it; #1,844 of 1,956 by trust here, #1,163 by citations
- Reinforcement Learning — 12 citations into it
- Signal Processing — 7 citations into it
Whom Sidi Lu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yann LeCun
- Ronald J. Williams
- Ross B. Girshick
- Geoffrey E. Hinton
- Kaiming He
- Alex Graves
- Yoshua Bengio
- Alex Krizhevsky
- Richard S. Sutton
- Ilya Sutskever
Who trusts Sidi Lu overall
- Sergey I. Nikolenko
- Thomas Scialom
- Wangchunshu Zhou
- Xingyuan Chen
- Md. Akmal Haidar
- Alex Wang
- Cyprien de Masson d'Autume
- Jiaqi Guan
- Sean Welleck
- Qingyang Wu
Papers from Sidi Lu's perspective
Ordered by how strongly the researchers Sidi Lu 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)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- 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
- Long Text Generation via Adversarial Training with Leaked Information (2017) — 532 citations
- Texygen: A Benchmarking Platform for Text Generation Models (2018) — 897 citations
- Computing Systems for Autonomous Driving: State of the Art and Challenges (2020) — 396 citations