Mahyar Najibi
Computer Vision and Pattern Recognition · 2015–2019
A researcher in the Science corpus: 8 papers; trusts 1,127 researchers and is trusted by 86 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 194 citations into it; #3,424 of 21,575 by trust here, #5,422 by citations
- Artificial Intelligence — 155 citations into it; #7,553 of 35,345 by trust here, #8,283 by citations
- Safety, Robustness & Interpretability — 78 citations into it; #2,103 of 2,251 by trust here, #495 by citations
- Model Architectures — 26 citations into it
- Optimization & Training — 15 citations into it
- Aerospace Engineering — 9 citations into it; #2,501 of 6,421 by trust here, #3,388 by citations
- Efficiency & Compression — 7 citations into it; #286 of 1,264 by trust here, #532 by citations
- Media Technology — 6 citations into it
Whom Mahyar Najibi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick
- Kaiming He
- Alex Krizhevsky
- David G. Lowe
- Geoffrey E. Hinton
- Christian Szegedy
- Piotr Doll'ar
- Karen Simonyan
- Yann LeCun
- Ilya Sutskever
Who trusts Mahyar Najibi overall
- Bharat Singh
- Yongqiang Zhang
- Larry S. Davis
- Dimitrios Kollias
- Shifeng Zhang
- Zhengxia Zou
- Gong Cheng
- Zhaowei Cai
- Yancheng Bai
- Hengduo Li
Papers from Mahyar Najibi's perspective
Ordered by how strongly the researchers Mahyar Najibi 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
- SNIPER: Efficient Multi-Scale Training (2018) — 550 citations
- AutoFocus: Efficient Multi-Scale Inference (2018) — 145 citations
- G-CNN: An Iterative Grid Based Object Detector (2015) — 199 citations
- Soft Sampling for Robust Object Detection (2018) — 78 citations
- Universal Adversarial Training (2018) — 211 citations
- Adversarial Training for Free! (2019) — 1,469 citations
- Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks (2018) — 1,286 citations
- SSH: Single Stage Headless Face Detector (2017) — 444 citations