Haibin Wang
Computer Vision and Pattern Recognition · 2018
A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 22 citations into it; #20,639 of 21,575 by trust here, #16,367 by citations
- Biomedical Engineering — 6 citations into it
Whom Haibin Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Haibin Wang overall
Papers from Haibin Wang's perspective
Ordered by how strongly the researchers Haibin Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- GENERATIVE ADVERSARIAL NETS
- Histograms of oriented gradients for human detection
- 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
- Going deeper with convolutions
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
Their papers
- Cross-Modality Person Re-Identification with Generative Adversarial Training (2018) — 459 citations