Qiang Wang
Computer Vision and Pattern Recognition · with Chu · 2016–2019
A researcher in the Science corpus: 2 papers; trusts 75 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 40 citations into it; #18,926 of 21,575 by trust here, #13,269 by citations
- Artificial Intelligence — 14 citations into it; #31,132 of 35,345 by trust here, #22,463 by citations
- Model Architectures — 12 citations into it
- Evaluation & Benchmarks — 7 citations into it
- Media Technology — 5 citations into it
Whom Qiang Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yann LeCun
- Daniel Scharstein
- Ilya Sutskever
- Alex Graves
- Kaiming He
- Yoshua Bengio
- Ross B. Girshick
- J. Urgen Schmidhuber
Who trusts Qiang Wang overall
Papers from Qiang Wang's perspective
Ordered by how strongly the researchers Qiang Wang 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- IRS: A Large Synthetic Indoor Robotics Stereo Dataset for Disparity and Surface Normal Estimation (2019) — 25 citations
- Benchmarking State-of-the-Art Deep Learning Software Tools (2016) — 343 citations