Junlong Gao
Computer Vision and Pattern Recognition · 2019
A researcher in the Science corpus: 1 paper; trusts 47 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 22 citations into it; #20,045 of 21,575 by trust here, #18,266 by citations
- Artificial Intelligence — 20 citations into it; #32,689 of 35,345 by trust here, #28,481 by citations
- Natural Language Processing — 15 citations into it; #5,265 of 5,688 by trust here, #4,983 by citations
- Multimodal Learning — 10 citations into it
Whom Junlong Gao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Ronald J. Williams
- Kaiming He
- Geoffrey E. Hinton
- Oriol Vinyals
- Yoshua Bengio
- Alex Krizhevsky
- Jimmy Ba
- Ilya Sutskever
- Yann LeCun
Who trusts Junlong Gao overall
- Ruotian Luo
- Matteo Stefanini
- Ron Mokady
- Chuan Guo
- Marcella Cornia
- Amir Hertz
- Lorenzo Baraldi
- Xinxin Zuo
Papers from Junlong Gao's perspective
Ordered by how strongly the researchers Junlong Gao 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
- Self-Critical N-Step Training for Image Captioning (2019) — 63 citations