Vuong Le

Computer Vision and Pattern Recognition · 2012–2020

A researcher in the Science corpus: 6 papers; trusts 566 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 136 citations into it; #6,028 of 21,575 by trust here, #5,565 by citations
• Artificial Intelligence — 118 citations into it; #24,170 of 35,345 by trust here, #10,319 by citations
• Question Answering & Reading Comprehension — 38 citations into it; #175 of 335 by trust here, #150 by citations
• Multimodal Learning — 26 citations into it
• Model Architectures — 22 citations into it
• Natural Language Processing — 14 citations into it
• Optimization & Training — 10 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Vuong Le trusts overall

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

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

Who trusts Vuong Le overall

1. Tadas Baltrusaitis
2. Adrian Bulat
3. Georgios Tzimiropoulos
4. Xudong Cao
5. Stefanos P. Zafeiriou
6. Bjoern Browatzki
7. Avishek Joey Bose
8. Vahid Kazemi
9. Heng Yang
10. Yisu Zhou

Papers from Vuong Le's perspective

Ordered by how strongly the researchers Vuong 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
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

• Interactive Facial Feature Localization (2012) — 1,008 citations
• 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
• Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection (2019) — 1,733 citations
• Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos (2019) — 321 citations