Kai Jia

Computer Vision and Pattern Recognition · with Zhang · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 135 researchers and is trusted by 92 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 50 citations into it; #3,403 of 21,575 by trust here, #6,281 by citations
• Artificial Intelligence — 28 citations into it; #15,839 of 35,345 by trust here, #8,810 by citations
• Model Architectures — 14 citations into it
• Optimization & Training — 10 citations into it

Whom Kai Jia trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Alex Krizhevsky
4. Shaoqing Ren
5. Geoffrey E. Hinton
6. Tsung-Yi Lin
7. Jifeng Dai
8. X. Zhang
9. Yann LeCun
10. Yoshua Bengio

Who trusts Kai Jia overall

1. Kaiming He
2. Xiaogang Wang
3. Ross B. Girshick
4. Luc Van Gool
5. Quoc V. Le
6. Wanli Ouyang
7. Dacheng Tao
8. Ping Luo
9. Chen Change Loy
10. Alan L. Yuille

Papers from Kai Jia's perspective

Ordered by how strongly the researchers Kai Jia 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. ImageNet: A large-scale hierarchical image database
4. Going deeper with convolutions
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Microsoft COCO: Common Objects in Context

Their papers

• MegDet: A Large Mini-Batch Object Detector (2017) — 336 citations
• Theano: A Python framework for fast computation of mathematical expressions (2016) — 2,380 citations