Ferhat Sükrü Rende
Computer Vision and Pattern Recognition · 2016
A researcher in the Science corpus: 1 paper; trusts 6 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 Ferhat Sükrü Rende trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Ferhat Sükrü Rende's perspective
Ordered by how strongly the researchers Ferhat Sükrü Rende trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Going deeper with convolutions
- Caffe: Convolutional Architecture for Fast Feature Embedding
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments
- FaceNet: A unified embedding for face recognition and clustering
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Their papers
- How Image Degradations Affect Deep CNN-Based Face Recognition? (2016) — 134 citations