Jing Zhong

Proceedings Ninth IEEE International Conference on Computer Vision · 2003

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Whom Jing Zhong trusts overall

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

1. Fernando De la Torre
2. Ahmed M. Elgammal
3. Gianfranco Doretto
4. Michael J. Black
5. W. Grimson
6. David Harwood
7. Alessandro Chiuso
8. Larry S. Davis
9. Ying Nian Wu

Who trusts Jing Zhong overall

1. Thierry Bouwmans
2. Yaser Sheikh
3. Vijay Mahadevan
4. James W. Davis
5. Anurag Mittal
6. Xiaowei Zhou
7. Dilip K. Prasad
8. Mubarak Shah
9. Nuno Vasconcelos
10. Belmar García García

Papers from Jing Zhong's perspective

Ordered by how strongly the researchers Jing Zhong 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Histograms of oriented gradients for human detection
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Distinctive Image Features from Scale-Invariant Keypoints
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Segmenting foreground objects from a dynamic textured background via a robust Kalman filter (2003) — 382 citations