Junda Cheng

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it
• Aerospace Engineering — 5 citations into it

Whom Junda Cheng trusts overall

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

1. Diederik P. Kingma
2. Yuchao Dai
3. Andreas Geiger
4. Jia-Ren Chang
5. Haofei Xu
6. Kaiming He
7. Jimmy Ba
8. Geoffrey E. Hinton
9. Alex Kendall
10. Yann LeCun

Papers from Junda Cheng's perspective

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

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

Their papers

• Attention Concatenation Volume for Accurate and Efficient Stereo Matching (2022) — 300 citations