Hamid Rezatofighi
Computer Vision and Pattern Recognition · with Reid · 2019–2020
A researcher in the Science corpus: 3 papers; trusts 149 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 72 citations into it
- Computational Mechanics — 28 citations into it
- Artificial Intelligence — 23 citations into it
- Aerospace Engineering — 11 citations into it
Whom Hamid Rezatofighi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- Shaoqing Ren
- Karen Simonyan
- Ross B. Girshick
- Ilya Sutskever
- Yoshua Bengio
- Joseph Redmon
- Andrew Zisserman
Who trusts Hamid Rezatofighi overall
Papers from Hamid Rezatofighi's perspective
Ordered by how strongly the researchers Hamid Rezatofighi 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)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- 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
- MOT20: A benchmark for multi object tracking in crowded scenes (2020) — 875 citations
- Learn to Predict Sets Using Feed-Forward Neural Networks (2020) — 21 citations
- TopNet: Structural Point Cloud Decoder (2019) — 522 citations