Le Kang

Computer Vision and Pattern Recognition · 2012–2015

A researcher in the Science corpus: 3 papers; trusts 63 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 46 citations into it; #5,206 of 21,575 by trust here, #6,671 by citations
• Media Technology — 21 citations into it; #1,333 of 3,621 by trust here, #910 by citations
• Artificial Intelligence — 8 citations into it
• Evaluation & Benchmarks — 6 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Le Kang trusts overall

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

1. A. Bovik
2. Zhou Wang
3. Geoffrey E. Hinton
4. Anush K. Moorthy
5. Hamid R. Sheikh
6. Alex Krizhevsky
7. Ilya Sutskever
8. Vinod Nair
9. Michele A. Saad
10. Yoshua Bengio

Who trusts Le Kang overall

1. Jongyoo Kim
2. Kede Ma
3. Yochai Blau
4. Sanghoon Lee
5. Weixia Zhang
6. Sebastian Bosse
7. S. Alireza Golestaneh
8. Xialei Liu
9. Vlad Hosu
10. Chao Ma

Papers from Le Kang's perspective

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

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

Their papers

• Sketch-based 3D shape retrieval using Convolutional Neural Networks (2015) — 382 citations
• Convolutional Neural Networks for No-Reference Image Quality Assessment (2014) — 1,187 citations
• Unsupervised feature learning framework for no-reference image quality assessment (2012) — 867 citations