Bor-Chun Chen

Computer Vision and Pattern Recognition · 2014–2022

A researcher in the Science corpus: 4 papers; trusts 407 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 152 citations into it; #5,432 of 21,575 by trust here, #5,843 by citations
• Artificial Intelligence — 82 citations into it
• Evaluation & Benchmarks — 22 citations into it
• Representation & Self-Supervised Learning — 20 citations into it
• Optimization & Training — 10 citations into it
• Signal Processing — 8 citations into it; #3,554 of 7,572 by trust here, #4,560 by citations

Whom Bor-Chun Chen trusts overall

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

1. Paul A. Viola
2. Alex Krizhevsky
3. Kaiming He
4. Geoffrey E. Hinton
5. Thomas Berg
6. Karl Ricanek Jr.
7. Andreas Lanitis
8. Karen Simonyan
9. Yoshua Bengio
10. Ross B. Girshick

Who trusts Bor-Chun Chen overall

1. Fei Ye
2. Yandong Wen
3. Seong Joon Oh
4. Jiankang Deng
5. Stylianos Moschoglou
6. Lacey Best-Rowden
7. Adrian G. Bors
8. Hamed Alqahtani
9. Zhifei Zhang
10. Wenzhi Cao

Papers from Bor-Chun Chen's perspective

Ordered by how strongly the researchers Bor-Chun Chen 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

• Visual Prompt Tuning (2022) — 2,722 citations
• Cross-Age Reference Coding for Age-Invariant Face Recognition and Retrieval (2014) — 425 citations
• Face Recognition and Retrieval Using Cross-Age Reference Coding With Cross-Age Celebrity Dataset (2015) — 301 citations
• AdaViT: Adaptive Vision Transformers for Efficient Image Recognition (2021) — 333 citations