Hongliang Jin
Computer Vision and Pattern Recognition · 2004–2005
A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 12 citations into it; #14,545 of 21,575 by trust here, #15,529 by citations
Whom Hongliang Jin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Hongliang Jin overall
Papers from Hongliang Jin's perspective
Ordered by how strongly the researchers Hongliang Jin 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- A nonlinear approach for face sketch synthesis and recognition (2005) — 393 citations
- Face detection using improved LBP under Bayesian framework (2004) — 391 citations