Seokju Lee
Computer Vision and Pattern Recognition · 2016–2020
A researcher in the Science corpus: 4 papers; trusts 278 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 90 citations into it
- Artificial Intelligence — 56 citations into it
- Model Architectures — 15 citations into it
- Optimization & Training — 11 citations into it
Whom Seokju Lee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- Shaoqing Ren
- Diederik P. Kingma
- Yann LeCun
- Navneet Dalal
- Christian Szegedy
- Karen Simonyan
Who trusts Seokju Lee overall
Papers from Seokju Lee's perspective
Ordered by how strongly the researchers Seokju Lee trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (2017) — 448 citations
- ResNet or DenseNet? Introducing Dense Shortcuts to ResNet (2020) — 153 citations
- Unsupervised Intra-Domain Adaptation for Semantic Segmentation Through Self-Supervision (2020) — 410 citations
- Fast multiple objects detection and tracking fusing color camera and 3D LIDAR for intelligent vehicles (2016) — 41 citations