Mahfuzur R. Siddiquee
Computer Vision and Pattern Recognition · 2018–2019
A researcher in the Science corpus: 3 papers; trusts 223 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 58 citations into it; #6,332 of 21,575 by trust here, #4,067 by citations
- Artificial Intelligence — 41 citations into it
- Model Architectures — 15 citations into it
- Biophysics — 5 citations into it
- Media Technology — 5 citations into it
Whom Mahfuzur R. Siddiquee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Ross B. Girshick
- Yoshua Bengio
- Evan Shelhamer
- Yann LeCun
- X. Zhang
- Karen Simonyan
- Shaoqing Ren
Who trusts Mahfuzur R. Siddiquee overall
- Deng-Ping Fan
- Sheng Fang
- Ge-Peng Ji
- Tao Zhou
- Shunyi Zheng
- Jianlin Su
- Valerio Marsocci
- Kaiwen Zhang
- Zipeng Qi
- Hasib Zunair
Papers from Mahfuzur R. Siddiquee's perspective
Ordered by how strongly the researchers Mahfuzur R. Siddiquee 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
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- 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
- UNet++: A Nested U-Net Architecture for Medical Image Segmentation (2018) — 9,204 citations
- UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation (2019) — 3,790 citations
- Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis (2019) — 406 citations