Hui Liu
Computer Vision and Pattern Recognition · with Iqbal · 2018
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 12 citations into it
Whom Hui Liu trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Yann LeCun (in Computer Vision and Pattern Recognition)
- Yoshua Bengio (in Computer Vision and Pattern Recognition)
Papers from Hui Liu's perspective
Ordered by how strongly the researchers Hui Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Backpropagation Applied to Handwritten Zip Code Recognition
- Rectified Linear Units Improve Restricted Boltzmann Machines
- Fully convolutional networks for semantic segmentation
- U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
- Learning Deconvolution Network for Semantic Segmentation
- Object Recognition with Gradient-Based Learning
- Max-pooling convolutional neural networks for vision-based hand gesture recognition (International Conference on Signal and Image Processing Applications)
- H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes (IEEE Transactions on Medical Imaging)