Hyun Kim

Computer Vision and Pattern Recognition · with Lee · 2019

A researcher in the Science corpus: 2 papers; trusts 165 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it; #12,932 of 21,575 by trust here, #13,815 by citations
• Artificial Intelligence — 13 citations into it

Whom Hyun Kim trusts overall

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

1. Ross B. Girshick
2. Joseph Redmon
3. Kaiming He
4. Shaoqing Ren
5. Alex Krizhevsky
6. Geoffrey E. Hinton
7. Tsung-Yi Lin
8. Christian Szegedy
9. Sergey Ioffe
10. Ali Farhadi

Who trusts Hyun Kim overall

1. Chien-Yao Wang
2. Alexey Bochkovskiy
3. S. Cong

Papers from Hyun Kim's perspective

Ordered by how strongly the researchers Hyun 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Long Short-Term Memory
10. Going deeper with convolutions

Their papers

• Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (2019) — 457 citations
• A High-Throughput and Power-Efficient FPGA Implementation of YOLO CNN for Object Detection (2019) — 356 citations