Yiming Wang

IEEE International Conference on Computer Vision · with Daniilidis · 2022

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

Whom Yiming Wang trusts overall

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

1. S. M. Seitz
2. Adrian Broadhurst
3. Connelly Barnes
4. Zhengqi Li
5. Lior Yariv
6. Albert Pumarola
7. Wenqi Xian
8. Amos Gropp
9. Peng Wang
10. Edgar Tretschk

Who trusts Yiming Wang overall

1. Binbin Huang

Papers from Yiming Wang's perspective

Ordered by how strongly the researchers Yiming Wang 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. ImageNet: A large-scale hierarchical image database
6. GENERATIVE ADVERSARIAL NETS
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Gradient-based learning applied to document recognition
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction (2022) — 422 citations