H. Chwa

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 108 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it
• Media Technology — 24 citations into it

Whom H. Chwa trusts overall

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

1. Anat Levin
2. Sunghyun Cho
3. Orest Kupyn
4. Rob Fergus
5. Li Xu
6. Jin-shan Pan
7. Seungjun Nah
8. Tobias Plötz
9. Yair Weiss
10. Geoffrey E. Hinton

Who trusts H. Chwa overall

1. Syed Waqas Zamir
2. Chong Mou
3. Jianyi Wang
4. Zhendong Wang
5. Lingshun Kong
6. Fu-Jen Tsai
7. Sung-Jin Cho
8. Jay Whang
9. Aditya Arora
10. Zhengzhong Tu

Papers from H. Chwa's perspective

Ordered by how strongly the researchers H. Chwa 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. Gradient-based learning applied to document recognition
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. ImageNet Large Scale Visual Recognition Challenge
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. Going deeper with convolutions

Their papers

• Real-World Blur Dataset for Learning and Benchmarking Deblurring Algorithms (2020) — 492 citations