Hyun Soo Park
Computer Vision and Pattern Recognition · 2012–2021
A researcher in the Science corpus: 6 papers; trusts 485 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 248 citations into it; #7,758 of 21,575 by trust here, #5,082 by citations
- Artificial Intelligence — 105 citations into it; #17,264 of 35,345 by trust here, #28,481 by citations
- Signal Processing — 47 citations into it
- Biomedical Engineering — 38 citations into it
- Human-Computer Interaction — 32 citations into it
- Cognitive Neuroscience — 24 citations into it
- Model Architectures — 21 citations into it
- Representation & Self-Supervised Learning — 19 citations into it
Whom Hyun Soo Park trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Kaiming He
- Ilya Sutskever
- Diederik P. Kingma
- Yoshua Bengio
- Karen Simonyan
- Ross B. Girshick
- Yann LeCun
- Andrew Zisserman
Who trusts Hyun Soo Park overall
- Antonino Furnari
- Takuma Yagi
- Giovanni Maria Farinella
- Yin Li
- Ryo Yonetani
- Tushar Nagarajan
- Kristen Grauman
- Ivan Rodin
- Karttikeya Mangalam
- Namhoon Lee
Papers from Hyun Soo Park's perspective
Ordered by how strongly the researchers Hyun Soo Park 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
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Ego4D: Around the World in 3,000 Hours of Egocentric Video (2021) — 1,925 citations
- Egocentric Future Localization (2016) — 132 citations
- First Person Action-Object Detection with EgoNet (2016) — 61 citations
- Imitation Learning via Kernel Mean Embedding (2018) — 44 citations
- 3D-printed multifunctional materials enabled by artificial-intelligence-assisted fabrication technologies (2020) — 293 citations
- 3D Social Saliency from Head-mounted Cameras (2012) — 104 citations