Thao Minh Le

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 409 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 87 citations into it; #14,896 of 21,575 by trust here, #10,905 by citations
• Artificial Intelligence — 74 citations into it; #24,197 of 35,345 by trust here, #16,166 by citations
• Question Answering & Reading Comprehension — 38 citations into it; #176 of 335 by trust here, #150 by citations
• Multimodal Learning — 26 citations into it
• Model Architectures — 14 citations into it
• Natural Language Processing — 11 citations into it
• Optimization & Training — 6 citations into it

Whom Thao Minh Le trusts overall

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

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

Who trusts Thao Minh Le overall

1. Junbin Xiao
2. Li Xu
3. Zhenfang Chen
4. Madeleine Grunde-McLaughlin
5. Devshree Patel
6. Mingyu Ding
7. Yiwei Ma
8. Jun Liu
9. Antoine Yang
10. Tat-seng Chua

Papers from Thao Minh Le's perspective

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

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

Their papers

• Hierarchical Conditional Relation Networks for Video Question Answering (2020) — 301 citations
• Hierarchical Conditional Relation Networks for Multimodal Video Question Answering (2020) — 30 citations
• Neural Reasoning, Fast and Slow, for Video Question Answering (2019) — 14 citations