Kevin Dela Rosa
Computer Vision and Pattern Recognition · 2020
A researcher in the Science corpus: 1 paper; trusts 176 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 29 citations into it; #10,020 of 21,575 by trust here, #11,286 by citations
- Artificial Intelligence — 18 citations into it; #15,700 of 35,345 by trust here, #16,771 by citations
- Multimodal Learning — 10 citations into it; #560 of 1,211 by trust here, #821 by citations
- Representation & Self-Supervised Learning — 6 citations into it
Whom Kevin Dela Rosa trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Ross B. Girshick
- Alex Krizhevsky
- Shaoqing Ren
- Yoshua Bengio
- Yann LeCun
- Diederik P. Kingma
- Ilya Sutskever
- Piotr Doll'ar
Who trusts Kevin Dela Rosa overall
- Xiuye Gu
- Golnaz Ghiasi
- Yiwu Zhong
- Zheng Ding
- Yin Cui
- Weicheng Kuo
- Tsung-Yi Lin
- Jian Ding
- Yuhang Zang
- Xingyi Zhou
Papers from Kevin Dela Rosa's perspective
Ordered by how strongly the researchers Kevin Dela Rosa 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- Open-Vocabulary Object Detection Using Captions (2020) — 613 citations