Minh Hoai

Computer Vision and Pattern Recognition · 2014–2020

A researcher in the Science corpus: 6 papers; trusts 991 researchers and is trusted by 319 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 132 citations into it; #2,268 of 21,575 by trust here, #12,172 by citations
• Artificial Intelligence — 59 citations into it; #6,931 of 35,345 by trust here, #25,040 by citations
• Human-Computer Interaction — 31 citations into it
• Evaluation & Benchmarks — 16 citations into it
• Control and Systems Engineering — 13 citations into it
• Model Architectures — 13 citations into it
• Safety, Risk, Reliability and Quality — 9 citations into it
• 3D Vision & Pose — 6 citations into it

Whom Minh Hoai trusts overall

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

1. Ross B. Girshick
2. David G. Lowe
3. Alex Krizhevsky
4. Andrew Zisserman
5. Yann LeCun
6. Geoffrey E. Hinton
7. Kaiming He
8. Pedro F. Felzenszwalb
9. Ilya Sutskever
10. Rohan Shah

Who trusts Minh Hoai overall

1. Georgia Gkioxari
2. Fahad Shahbaz Khan
3. Ross B. Girshick
4. Yu Zhang
5. Jitendra Malik
6. Li Cheng
7. Jiaolong Xu
8. Joost van de Weijer
9. Jianxin Wu
10. Jianfei Cai

Papers from Minh Hoai's perspective

Ordered by how strongly the researchers Minh Hoai 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. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
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

• Regularized Max Pooling for Image Categorization (2014) — 56 citations
• Detecting Hands and Recognizing Physical Contact in the Wild (2020) — 55 citations
• Contextual Attention for Hand Detection in the Wild (2019) — 65 citations
• Iterative Crowd Counting (2018) — 297 citations
• Distribution Matching for Crowd Counting (2020) — 417 citations
• WorkingHands: A Hand-Tool Assembly Dataset for Image Segmentation and Activity Mining (2019) — 26 citations