Hayder M. S. Radha
Computer Vision and Pattern Recognition · 2001–2020
A researcher in the Science corpus: 3 papers; trusts 153 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 31 citations into it; #10,220 of 21,575 by trust here, #12,172 by citations
- Aerospace Engineering — 18 citations into it; #4,730 of 6,421 by trust here, #4,570 by citations
- Geology — 8 citations into it
- Computational Mechanics — 6 citations into it
- Environmental Engineering — 6 citations into it
Whom Hayder M. S. Radha trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Ross B. Girshick
- Shaoshuai Shi
- Tsung-Yi Lin
- Alex Krizhevsky
- Ming Liang
- Vinod Nair
- Charles Ruizhongtai Qi
- Yann LeCun
Who trusts Hayder M. S. Radha overall
Papers from Hayder M. S. Radha's perspective
Ordered by how strongly the researchers Hayder M. S. Radha 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)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Deep learning algorithm for autonomous driving using GoogLeNet (2017) — 239 citations
- CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection (2020) — 514 citations
- The MPEG-4 fine-grained scalable video coding method for multimedia streaming over IP (2001) — 451 citations