Seunghyun Cho

Computer Vision and Pattern Recognition · 2013–2018

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it; #17,053 of 21,575 by trust here, #16,367 by citations
• Generative Models — 12 citations into it

Whom Seunghyun Cho trusts overall

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

1. Diederik P. Kingma
2. Johannes Ballé
3. Aäron van den Oord
4. Jimmy Ba
5. Geoffrey E. Hinton
6. Nick Johnston
7. Lucas Theis
8. Alex Krizhevsky
9. Yoshua Bengio
10. Yann LeCun

Who trusts Seunghyun Cho overall

1. Yann Dubois
2. Fabian Mentzer
3. Zhengxue Cheng
4. Dailan He
5. Emilien Dupont

Papers from Seunghyun Cho's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. GENERATIVE ADVERSARIAL NETS
5. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Context-adaptive Entropy Model for End-to-end Optimized Image Compression (2018) — 449 citations
• Fast CU Splitting and Pruning for Suboptimal CU Partitioning in HEVC Intra Coding (2013) — 323 citations