Pengcheng Wu
Computer Vision and Pattern Recognition · 2004–2017
A researcher in the Science corpus: 5 papers; trusts 374 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 81 citations into it; #5,545 of 21,575 by trust here, #5,053 by citations
- Artificial Intelligence — 35 citations into it
- Representation & Self-Supervised Learning — 21 citations into it
- Signal Processing — 17 citations into it
- Information Retrieval & Search — 13 citations into it
- Optimization & Training — 7 citations into it
- Probabilistic & Bayesian Methods — 7 citations into it
- Aerospace Engineering — 6 citations into it
Whom Pengcheng Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- David G. Lowe
- Alex Krizhevsky
- Ross B. Girshick
- Ruslan Salakhutdinov
- Kaiming He
- Yann LeCun
- Ilya Sutskever
- Pascal Vincent
Who trusts Pengcheng Wu overall
- Wenyuan Dai
- Lixin Duan
- Qiang Yang
- Gui-Rong Xue
- Yu Zhang
- Ivor Wai-Hung Tsang
- Dong Xu
- Wenpeng Yin
- John Blitzer
- Yong Yu
Papers from Pengcheng Wu's perspective
Ordered by how strongly the researchers Pengcheng Wu 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)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- 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
- Deep Learning for Content-Based Image Retrieval: A Comprehensive Study (2014) — 938 citations
- Online multimodal deep similarity learning with application to image retrieval (2013) — 173 citations
- Improving SVM accuracy by training on auxiliary data sources (2004) — 325 citations
- Face Detection using Deep Learning: An Improved Faster RCNN Approach (2017) — 661 citations
- Boosting multi-kernel locality-sensitive hashing for scalable image retrieval (2012) — 40 citations