Giseop Kim
Aerospace Engineering · 2018–2021
A researcher in the Science corpus: 3 papers; trusts 147 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Aerospace Engineering — 48 citations into it; #2,528 of 6,421 by trust here, #5,385 by citations
- Computer Vision and Pattern Recognition — 40 citations into it; #12,042 of 21,575 by trust here, #20,271 by citations
- Geology — 15 citations into it; #358 of 687 by trust here, #652 by citations
- Environmental Engineering — 14 citations into it
- Evaluation & Benchmarks — 8 citations into it
Whom Giseop Kim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mark Joseph Cummins
- Dorian Gálvez-López
- Andreas Geiger
- Li He
- Paul M. Newman
- Mikaela Angelina Uy
- Michael Milford
- Juan D. Tardós
- Edwin Olson
- Renaud Dubé
Who trusts Giseop Kim overall
Papers from Giseop Kim's perspective
Ordered by how strongly the researchers Giseop Kim 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
Their papers
- MulRan: Multimodal Range Dataset for Urban Place Recognition (2020) — 355 citations
- Scan Context++: Structural Place Recognition Robust to Rotation and Lateral Variations in Urban Environments (2021) — 332 citations
- Scan Context: Egocentric Spatial Descriptor for Place Recognition Within 3D Point Cloud Map (2018) — 912 citations