Kejian Li
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 24 citations into it
- Model Architectures — 5 citations into it
Whom Kejian Li trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Kunihiko Fukushima (in Computer Vision and Pattern Recognition)
Papers from Kejian Li's perspective
Ordered by how strongly the researchers Kejian Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Object recognition from local scale-invariant features
- Histograms of oriented gradients for human detection
- This PDF file includes: Materials and Methods
- Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
- Textural Features for Image Classification
- A Dataset for Breast Cancer Histopathological Image Classification
- Breast cancer histopathological image classification using Convolutional Neural Networks (IEEE International Joint Conference on Neural Network)
- Deep learning for magnification independent breast cancer histopathology image classification (International Conference on Pattern Recognition)
- Receptive fields of single neurones in the cat's striate cortex
- Learning Fine-Grained Image Similarity with Deep Ranking