Ildoo Kim
Biomedical Engineering · 2008–2023
A researcher in the Science corpus: 8 papers; trusts 552 researchers and is trusted by 142 researchers here, as inferred from the citation graph.
Subfields
- Biomedical Engineering — 124 citations into it
- Computer Vision and Pattern Recognition — 113 citations into it; #2,960 of 21,575 by trust here, #3,525 by citations
- Artificial Intelligence — 98 citations into it; #4,627 of 35,345 by trust here, #4,979 by citations
- Electrical and Electronic Engineering — 62 citations into it
- Multimodal Learning — 29 citations into it; #183 of 1,211 by trust here, #440 by citations
- Optimization & Training — 27 citations into it
- Model Architectures — 26 citations into it; #473 of 2,278 by trust here, #652 by citations
- Representation & Self-Supervised Learning — 20 citations into it
Whom Ildoo Kim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Krizhevsky
- Rico Zacher
- Geoffrey E. Hinton
- Karen Simonyan
- Ross B. Girshick
- Yoshua Bengio
- Ilya Sutskever
- Shaoqing Ren
- Diederik P. Kingma
Who trusts Ildoo Kim overall
- Hongjie Dong
- Junnan Li
- Jianfeng Wang
- Zhe Gan
- Xiao Wang
- Ekin Dogus Cubuk
- Doyoon Kim
- Wenliang Dai
- Ishan Misra
- Wenhui Wang
Papers from Ildoo Kim's perspective
Ordered by how strongly the researchers Ildoo Kim trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- 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)
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision (2021) — 2,347 citations
- Fast AutoAugment (2019) — 659 citations
- Scalable Neural Architecture Search for 3D Medical Image Segmentation (2019) — 84 citations
- Technology Roadmap for Flexible Sensors (2023) — 1,127 citations
- torchgpipe: On-the-fly Pipeline Parallelism for Training Giant Models (2020) — 63 citations
- An $L_q(L_p)$-theory for the time fractional evolution equations with variable coefficients (2015) — 75 citations
- Parabolic Littlewood–Paley inequality for ϕ(−Δ)-type operators and applications to stochastic integro-differential equations (2013) — 48 citations
- Hollow TiO2 Hemispheres Obtained by Colloidal Templating for Application in Dye‐Sensitized Solar Cells (2008) — 191 citations