Jaewoong Sim
Computer Vision and Pattern Recognition · 2016–2017
A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 21 citations into it; #20,233 of 21,575 by trust here, #18,782 by citations
- Artificial Intelligence — 13 citations into it; #33,058 of 35,345 by trust here, #29,412 by citations
- Efficiency & Compression — 9 citations into it
Whom Jaewoong Sim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Jaewoong Sim overall
Papers from Jaewoong Sim's perspective
Ordered by how strongly the researchers Jaewoong Sim trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Their papers
- Can FPGAs Beat GPUs in Accelerating Next-Generation Deep Neural Networks? (2017) — 456 citations
- GraphPIM: Enabling Instruction-Level PIM Offloading in Graph Computing Frameworks (2017) — 302 citations
- Accelerating Binarized Neural Networks: Comparison of FPGA, CPU, GPU, and ASIC (2016) — 318 citations