Thang Vu

Computer Vision and Pattern Recognition · 2019–2022

A researcher in the Science corpus: 2 papers; trusts 243 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 63 citations into it
• Computational Mechanics — 27 citations into it
• Geology — 22 citations into it
• Aerospace Engineering — 17 citations into it
• Artificial Intelligence — 17 citations into it

Whom Thang Vu trusts overall

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

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

Who trusts Thang Vu overall

1. Xingyi Zhou
2. Dahun Kim
3. Chandan Yeshwanth
4. Vladlen Koltun
5. Tsung-Yi Lin
6. Yueh-Cheng Liu

Papers from Thang Vu's perspective

Ordered by how strongly the researchers Thang Vu 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution (2019) — 209 citations
• SoftGroup for 3D Instance Segmentation on Point Clouds (2022) — 350 citations