Seungryul Baek

Computer Vision and Pattern Recognition · 1 papers · 2024

A researcher in the Science corpus: 1 paper; trusts 177 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 45 citations into it
• Artificial Intelligence — 37 citations into it
• Meta & Continual Learning — 20 citations into it
• Generative Models — 16 citations into it
• Statistical and Nonlinear Physics — 6 citations into it

Whom Seungryul Baek trusts overall

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

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

Papers from Seungryul Baek's perspective

Ordered by how strongly the researchers Seungryul Baek 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. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. GENERATIVE ADVERSARIAL NETS
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Microsoft COCO: Common Objects in Context

Their papers

• SDDGR: Stable Diffusion-Based Deep Generative Replay for Class Incremental Object Detection (2024) — 65 citations