Wenmin Wang
Computer Vision and Pattern Recognition · 2019
A researcher in the Science corpus: 1 paper; trusts 229 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 41 citations into it; #15,882 of 21,575 by trust here, #8,502 by citations
- Artificial Intelligence — 25 citations into it
- Multimodal Learning — 23 citations into it; #847 of 1,211 by trust here, #702 by citations
- Natural Language Processing — 16 citations into it
- Evaluation & Benchmarks — 9 citations into it
- Model Architectures — 5 citations into it
Whom Wenmin Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Diederik P. Kingma
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Ross B. Girshick
- Shaoqing Ren
- Richard Socher
- Jimmy Ba
- Li Fei-Fei
Who trusts Wenmin Wang overall
- Marcella Cornia
- Ali Furkan Biten
- Dora Zhao
- Maitreya Suin
- Jaemin Cho
- Ziyang Luo
- Riccardo Del Chiaro
- Lorenzo Baraldi
- Oleksii Sidorov
- Danna Gurari
Papers from Wenmin Wang's perspective
Ordered by how strongly the researchers Wenmin Wang 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)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- 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
- Attention on Attention for Image Captioning (2019) — 1,012 citations