Zhaoyang Jia

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 11 citations into it

Whom Zhaoyang Jia trusts overall

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

1. David E. Rumelhart
2. Ronan Collobert
3. Matthew Tancik
4. Geoffrey E. Hinton
5. Juan Ramón Hernández
6. Zhou Wang
7. Jiren Zhu
8. Jie Hu
9. Koray Kavukcuoglu
10. Ronald J. Williams

Papers from Zhaoyang Jia's perspective

Ordered by how strongly the researchers Zhaoyang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. GENERATIVE ADVERSARIAL NETS
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• MBRS: Enhancing Robustness of DNN-based Watermarking by Mini-Batch of Real and Simulated JPEG Compression (2021) — 334 citations