Ching-Yu Chang

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 10 citations into it

Whom Ching-Yu Chang trusts overall

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

1. Navneet Dalal
2. Geoffrey E. Hinton
3. Rainer Lienhart

Papers from Ching-Yu Chang's perspective

Ordered by how strongly the researchers Ching-Yu Chang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Histograms of oriented gradients for human detection
2. Distilling the Knowledge in a Neural Network (arXiv.org)
3. Feature Pyramid Networks for Object Detection
4. A discriminatively trained, multiscale, deformable part model
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. ImageNet classification with deep convolutional neural networks
7. Gradient-based learning applied to document recognition
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• An efficient framework for counting pedestrians crossing a line using low-cost devices: the benefits of distilling the knowledge in a neural network (2020) — 33 citations