Anil M. Cheriyadat
Computer Vision and Pattern Recognition · 2014–2015
A researcher in the Science corpus: 2 papers; trusts 456 researchers and is trusted by 81 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 23 citations into it; #2,753 of 21,575 by trust here, #7,176 by citations
- Media Technology — 9 citations into it; #85 of 3,621 by trust here, #594 by citations
- Representation & Self-Supervised Learning — 7 citations into it; #234 of 3,145 by trust here, #1,338 by citations
Whom Anil M. Cheriyadat trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yi Yang
- David G. Lowe
- Patrik O. Hoyer
- Aapo Hyvärinen
- Svetlana Lazebnik
- Thomas K. Leung
- Geoffrey E. Hinton
- Andrew Zisserman
- Jitendra Malik
- Shawn D. Newsam
Who trusts Anil M. Cheriyadat overall
- Liangpei Zhang
- Fan Hu
- Gui-Song Xia
- Fan Zhang
- Gong Cheng
- Yanfei Zhong
- Jingwen Hu
- Souleyman Chaib
- Bo Du
- Lionel Gueguen
Papers from Anil M. Cheriyadat's perspective
Ordered by how strongly the researchers Anil M. Cheriyadat trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Bag of Lines (BoL) for Improved Aerial Scene Representation (2015) — 24 citations
- Unsupervised Feature Learning for Aerial Scene Classification (2014) — 413 citations