Mohammad Javad Saberian
Computer Vision and Pattern Recognition · 2012–2015
A researcher in the Science corpus: 3 papers; trusts 699 researchers and is trusted by 48 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 71 citations into it; #4,093 of 21,575 by trust here, #6,795 by citations
- Artificial Intelligence — 29 citations into it; #8,999 of 35,345 by trust here, #13,544 by citations
- Aerospace Engineering — 8 citations into it
- Media Technology — 7 citations into it
- Model Architectures — 5 citations into it; #1,447 of 2,278 by trust here, #2,215 by citations
- Optimization & Training — 5 citations into it
Whom Mohammad Javad Saberian trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Piotr Doll'ar
- Ross B. Girshick
- Alex Krizhevsky
- Geoffrey E. Hinton
- Pedro F. Felzenszwalb
- Kaiming He
- David G. Lowe
- Rob Fergus
- Andrew Zisserman
- Yann LeCun
Who trusts Mohammad Javad Saberian overall
- Zhaowei Cai
- Nuno Vasconcelos
- Zhong-Qiu Zhao
- Longyin Wen
- Yancheng Bai
- Xiaodan Liang
- Lingjiao Chen
- Mason McGill
- Shifeng Zhang
- Shanshan Zhang
Papers from Mohammad Javad Saberian's perspective
Ordered by how strongly the researchers Mohammad Javad Saberian 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- 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
- Learning Complexity-Aware Cascades for Deep Pedestrian Detection (2015) — 347 citations
- Multi-view Face Detection Using Deep Convolutional Neural Networks (2015) — 593 citations
- Learning Optimal Embedded Cascades (2012) — 29 citations