Kofi Boakye

Computer Vision and Pattern Recognition · 2015–2019

A researcher in the Science corpus: 3 papers; trusts 231 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 43 citations into it; #9,998 of 21,575 by trust here, #7,852 by citations
• Artificial Intelligence — 27 citations into it; #17,487 of 35,345 by trust here, #19,439 by citations
• Natural Language Processing — 16 citations into it
• Multimodal Learning — 13 citations into it; #603 of 1,211 by trust here, #909 by citations
• Evaluation & Benchmarks — 11 citations into it
• Model Architectures — 8 citations into it

Whom Kofi Boakye trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Ross B. Girshick
5. Shaoqing Ren
6. Christian Szegedy
7. Ilya Sutskever
8. Yoshua Bengio
9. Yann LeCun
10. Diederik P. Kingma

Who trusts Kofi Boakye overall

1. Marcella Cornia
2. Matteo Stefanini
3. Lorenzo Baraldi
4. Ron Mokady

Papers from Kofi Boakye's perspective

Ordered by how strongly the researchers Kofi Boakye trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Going deeper with convolutions
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Large-Scale Deep Learning on the YFCC100M Dataset (2015) — 32 citations
• A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning (2016) — 392 citations
• Image Captioning: Transforming Objects into Words (2019) — 581 citations