Hyungseob Lim

Computer Vision and Pattern Recognition · with Jang · 2023

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it

Whom Hyungseob Lim trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Johannes Ballé
2. David E. Rumelhart
3. Aäron van den Oord
4. Geoffrey E. Hinton
5. Oriol Vinyals
6. Srihari Kankanahalli
7. Valero Laparra
8. Ronald J. Williams
9. Koray Kavukcuoglu
10. Eero P. Simoncelli

Papers from Hyungseob Lim's perspective

Ordered by how strongly the researchers Hyungseob Lim trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. ImageNet: A large-scale hierarchical image database
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• End-to-End Neural Audio Coding in the MDCT Domain (2023) — 5 citations