Zi-Ping Yan

Computer Vision and Pattern Recognition · 2022

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 — 35 citations into it

Whom Zi-Ping Yan trusts overall

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

1. Heiko Hirschmüller

Papers from Zi-Ping Yan's perspective

Ordered by how strongly the researchers Zi-Ping Yan trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Are we ready for autonomous driving? The KITTI vision benchmark suite
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
8. FlowNet: Learning Optical Flow with Convolutional Networks
9. ImageNet: A large-scale hierarchical image database
10. ShapeNet: An Information-Rich 3D Model Repository

Their papers

• Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation (2022) — 400 citations