Patsorn Sangkloy

Computer Vision and Pattern Recognition · 2016–2019

A researcher in the Science corpus: 5 papers; trusts 416 researchers and is trusted by 63 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 152 citations into it; #3,909 of 21,575 by trust here, #4,105 by citations
• Generative Models — 51 citations into it; #1,227 of 1,956 by trust here, #922 by citations
• Artificial Intelligence — 27 citations into it
• Computer Graphics and Computer-Aided Design — 17 citations into it; #623 of 1,584 by trust here, #326 by citations
• Media Technology — 13 citations into it
• Model Architectures — 12 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Biophysics — 6 citations into it

Whom Patsorn Sangkloy trusts overall

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

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

Who trusts Patsorn Sangkloy overall

1. Jun-Yan Zhu
2. Wengling Chen
3. Li Luo
4. Taesung Park
5. Ke Li
6. Abdul Jabbar
7. James Hays
8. Xin Yi
9. Chenlin Meng
10. Richard Zhang

Papers from Patsorn Sangkloy's perspective

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

• Scribbler: Controlling Deep Image Synthesis with Sketch and Color (2016) — 529 citations
• Argoverse: 3D Tracking and Forecasting With Rich Maps (2019) — 1,640 citations
• TextureGAN: Controlling Deep Image Synthesis with Texture Patches (2017) — 300 citations
• The sketchy database (2016) — 327 citations
• WebGazer: Scalable Webcam Eye Tracking Using User Interactions (2016) — 328 citations