Sheng Liu
Computer Vision and Pattern Recognition · with Ren · 2018
A researcher in the Science corpus: 1 paper; trusts 310 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 50 citations into it; #16,925 of 21,575 by trust here, #18,782 by citations
- Artificial Intelligence — 28 citations into it
- Natural Language Processing — 26 citations into it
- Multimodal Learning — 20 citations into it
- Model Architectures — 14 citations into it; #1,817 of 2,278 by trust here, #2,111 by citations
- Evaluation & Benchmarks — 8 citations into it
- Representation & Self-Supervised Learning — 6 citations into it
- Optimization & Training — 5 citations into it
Whom Sheng Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Kaiming He
- Alex Krizhevsky
- Ilya Sutskever
- Christian Szegedy
- Sepp Hochreiter
- Yann LeCun
- Oriol Vinyals
Who trusts Sheng Liu overall
Papers from Sheng Liu's perspective
Ordered by how strongly the researchers Sheng Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- SibNet: Sibling Convolutional Encoder for Video Captioning (2018) — 148 citations