Huy V. Vo

Computer Vision and Pattern Recognition · 2019–2025

A researcher in the Science corpus: 5 papers; trusts 448 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 168 citations into it
• Artificial Intelligence — 99 citations into it
• Representation & Self-Supervised Learning — 53 citations into it
• Model Architectures — 21 citations into it
• Aerospace Engineering — 18 citations into it
• Media Technology — 14 citations into it
• Optimization & Training — 8 citations into it
• Computational Theory and Mathematics — 7 citations into it

Whom Huy V. Vo trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Karen Simonyan
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Andrew Zisserman
7. Shaoqing Ren
8. Yann LeCun
9. Diederik P. Kingma
10. Jitendra Malik

Who trusts Huy V. Vo overall

1. Patrick Pérez

Papers from Huy V. Vo's perspective

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

Their papers

• DINOv2: Learning Robust Visual Features without Supervision (2023) — 9,372 citations
• Unsupervised Image Matching and Object Discovery as Optimization (2019) — 69 citations
• Toward unsupervised, multi-object discovery in large-scale image collections (2020) — 84 citations
• DINOv3 (2025) — 1,140 citations
• Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on aerial lidar (2023) — 333 citations