Daijin Kim

Computer Vision and Pattern Recognition · 2003–2021

A researcher in the Science corpus: 7 papers; trusts 533 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 218 citations into it; #13,483 of 21,575 by trust here, #4,865 by citations
• Artificial Intelligence — 45 citations into it
• Evaluation & Benchmarks — 17 citations into it
• Media Technology — 12 citations into it
• Optimization & Training — 12 citations into it
• Model Architectures — 10 citations into it
• Oncology — 8 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Daijin Kim trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Piotr Doll'ar
4. Geoffrey E. Hinton
5. Diederik P. Kingma
6. Alex Krizhevsky
7. Yoshua Bengio
8. Yann LeCun
9. Tsung-Yi Lin
10. Pedro F. Felzenszwalb

Who trusts Daijin Kim overall

1. Stefanos P. Zafeiriou
2. Zhengyou Zhang
3. Cha Zhang
4. Wei Yun Yau
5. Eam Khwang Teoh
6. Manoj Ramanathan

Papers from Daijin Kim's perspective

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

Their papers

• The Visual Object Tracking VOT2016 Challenge Results (2016) — 773 citations
• SAN: Learning Relationship between Convolutional Features for Multi-Scale Object Detection (2018) — 63 citations
• The Sixth Visual Object Tracking VOT2018 Challenge Results (2018) — 797 citations
• Robust human activity recognition from depth video using spatiotemporal multi-fused features (2017) — 362 citations
• UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation (2021) — 367 citations
• Local Transform Features and Hybridization for Accurate Face and Human Detection (2013) — 156 citations
• Constructing support vector machine ensemble (2003) — 517 citations