Minh-Triet Tran

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 4 papers; trusts 201 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 87 citations into it; #20,345 of 21,575 by trust here, #11,721 by citations
• Artificial Intelligence — 31 citations into it
• Model Architectures — 11 citations into it
• Media Technology — 7 citations into it

Whom Minh-Triet Tran trusts overall

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

1. Karen Simonyan
2. David G. Lowe
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Kaiming He
6. Andrew Zisserman
7. Ross B. Girshick
8. Evan Shelhamer
9. Ilya Sutskever
10. Li Fei-Fei

Who trusts Minh-Triet Tran overall

1. Deng-Ping Fan

Papers from Minh-Triet Tran's perspective

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

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

Their papers

• A Multi-Organ Nucleus Segmentation Challenge (2020) — 533 citations
• Anabranch network for camouflaged object segmentation (2019) — 730 citations
• RGB-D Object-to-CAD Retrieval (2018) — 18 citations
• RGB-D to CAD Retrieval with ObjectNN Dataset (2017) — 20 citations