Chokri Mhiri
Computer Vision and Pattern Recognition · 2020
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 18 citations into it
Whom Chokri Mhiri trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrew Zisserman (in Computer Vision and Pattern Recognition)
- Karen Simonyan (in Computer Vision and Pattern Recognition)
- Alex Krizhevsky (in Computer Vision and Pattern Recognition)
- Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
- Ilya Sutskever (in Computer Vision and Pattern Recognition)
Papers from Chokri Mhiri's perspective
Ordered by how strongly the researchers Chokri Mhiri 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)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Improving neural networks by preventing co-adaptation of feature detectors
- Stochastic Pooling for Regularization of Deep Convolutional Neural Networks
- Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation
- The Effectiveness of Data Augmentation in Image Classification using Deep Learning
- Kernel Pooling for Convolutional Neural Networks
- Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval
- Max-pooling convolutional neural networks for vision-based hand gesture recognition (International Conference on Signal and Image Processing Applications)