Tuong Khanh Long Do
Computer Vision and Pattern Recognition · 2019–2021
A researcher in the Science corpus: 2 papers; trusts 328 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 71 citations into it
- Artificial Intelligence — 65 citations into it
- Multimodal Learning — 47 citations into it
- Natural Language Processing — 15 citations into it
- Question Answering & Reading Comprehension — 13 citations into it
- Model Architectures — 6 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Tuong Khanh Long Do trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Damien Teney
- Ross B. Girshick
- Diederik P. Kingma
- Ilya Sutskever
- Yann LeCun
- Karen Simonyan
Who trusts Tuong Khanh Long Do overall
Papers from Tuong Khanh Long Do's perspective
Ordered by how strongly the researchers Tuong Khanh Long Do 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)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- 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
- Compact Trilinear Interaction for Visual Question Answering (2019) — 67 citations
- Coarse-to-Fine Reasoning for Visual Question Answering (2021) — 48 citations