Yufei Wang

Computer Vision and Pattern Recognition · with Kot · 2017–2023

A researcher in the Science corpus: 6 papers; trusts 549 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 146 citations into it; #13,623 of 21,575 by trust here, #11,721 by citations
• Artificial Intelligence — 81 citations into it; #21,968 of 35,345 by trust here, #18,586 by citations
• Control and Systems Engineering — 24 citations into it
• Natural Language Processing — 24 citations into it
• Evaluation & Benchmarks — 23 citations into it
• Reinforcement Learning — 22 citations into it
• Multimodal Learning — 20 citations into it
• Representation & Self-Supervised Learning — 12 citations into it

Whom Yufei Wang trusts overall

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

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

Who trusts Yufei Wang overall

1. Yusuke Iwasawa
2. Divyat Mahajan
3. Ron Mokady
4. Daehee Kim
5. Md. Zakir Hossain
6. Yutaka Matsuo
7. Tao Wang
8. Shruti Tople
9. Amir Hertz
10. Seunghyun Park

Papers from Yufei Wang's perspective

Ordered by how strongly the researchers Yufei Wang 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. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
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

• SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation (2020) — 291 citations
• Heterogeneous Domain Generalization Via Domain Mixup (2020) — 173 citations
• Low-Light Image Enhancement with Normalizing Flow (2021) — 590 citations
• Skeleton Key: Image Captioning by Skeleton-Attribute Decomposition (2017) — 107 citations
• SinSR: Diffusion-Based Image Super-Resolution in a Single Step (2023) — 337 citations
• Recognizing and Curating Photo Albums via Event-Specific Image Importance (2017) — 14 citations