Xiao-Ming Wu
Computer Vision and Pattern Recognition · with Chang · 2012–2013
A researcher in the Science corpus: 3 papers; trusts 89 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 18 citations into it; #12,290 of 21,575 by trust here, #19,310 by citations
- Representation & Self-Supervised Learning — 11 citations into it
- Artificial Intelligence — 8 citations into it
- Computational Theory and Mathematics — 7 citations into it
- Media Technology — 6 citations into it; #1,802 of 3,621 by trust here, #3,091 by citations
Whom Xiao-Ming Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jianbo Shi
- Dengyong Zhou
- Ulrike von Luxburg
- Olivier Chapelle
- Jitendra Malik
- Ronald R. Coifman
- Xiaojin Zhu
- Martin Szummer
- Marina Meila
- Olivier Bousquet
Who trusts Xiao-Ming Wu overall
- Qimai Li
- Jesper E. van Engelen
- Dong Huang
- Ke Sun
- Zhenguo Li
- Stefano Ermon
- Marion Neumann
- Xiao-Ming Wu
- Huifeng Guo
- Zhichao Han
Papers from Xiao-Ming Wu's perspective
Ordered by how strongly the researchers Xiao-Ming 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
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Analyzing the Harmonic Structure in Graph-Based Learning (2013) — 11 citations
- Segmentation using superpixels: A bipartite graph partitioning approach (2012) — 325 citations
- Learning with Partially Absorbing Random Walks (2012) — 145 citations