Tan Wang
Computer Vision and Pattern Recognition · with Huang · 2020
A researcher in the Science corpus: 1 paper; trusts 252 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 56 citations into it; #18,026 of 21,575 by trust here, #16,367 by citations
- Artificial Intelligence — 46 citations into it
- Multimodal Learning — 23 citations into it
- Natural Language Processing — 14 citations into it
- Evaluation & Benchmarks — 11 citations into it
- Representation & Self-Supervised Learning — 11 citations into it
- Causal Inference & Discovery — 7 citations into it
Whom Tan Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Yoshua Bengio
- Alex Krizhevsky
- Ross B. Girshick
- Ilya Sutskever
- Diederik P. Kingma
- Yann LeCun
- Shaoqing Ren
- Oriol Vinyals
Who trusts Tan Wang overall
- Hanwang Zhang
- Aman Chadha
- Alireza Zareian
- Xinting Hu
- Dong Zhang
- Kaihua Tang
- Xiansheng Hua
- Gurneet Arora
- Haoxuan You
- Yulei Niu
Papers from Tan Wang's perspective
Ordered by how strongly the researchers Tan 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)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Visual Commonsense R-CNN (2020) — 296 citations