Jyh-Jing Hwang

Computer Vision and Pattern Recognition · 2015–2019

A researcher in the Science corpus: 5 papers; trusts 746 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 182 citations into it; #5,238 of 21,575 by trust here, #6,795 by citations
• Artificial Intelligence — 70 citations into it; #30,341 of 35,345 by trust here, #16,771 by citations
• Media Technology — 16 citations into it
• Model Architectures — 16 citations into it
• Evaluation & Benchmarks — 13 citations into it
• Representation & Self-Supervised Learning — 10 citations into it
• Biophysics — 5 citations into it

Whom Jyh-Jing Hwang trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Ilya Sutskever
5. Ross B. Girshick
6. Yann LeCun
7. Pablo Arbeláez
8. Yoshua Bengio
9. Diederik P. Kingma
10. Jitendra Malik

Who trusts Jyh-Jing Hwang overall

1. Saining Xie
2. Antonino Furnari
3. Alexander Kirillov
4. Iasonas Kokkinos
5. Mengyang Pu
6. Yun Liu
7. Liang-Chieh Chen
8. Zhuowen Tu
9. Aditya Grover
10. Jie Gui

Papers from Jyh-Jing Hwang's perspective

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

• Egocentric Future Localization (2016) — 132 citations
• DeeperLab: Single-Shot Image Parser (2019) — 197 citations
• Pixel-wise Deep Learning for Contour Detection (2015) — 110 citations
• Adaptive Affinity Field for Semantic Segmentation (2018) — 14 citations
• Learning Beyond Human Expertise with Generative Models for Dental Restorations (2018) — 42 citations