Biao Zhang

Computer Vision and Pattern Recognition · with Nießner · 2023

A researcher in the Science corpus: 1 paper; trusts 80 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 45 citations into it
• Computational Mechanics — 33 citations into it
• Computer Graphics and Computer-Aided Design — 25 citations into it
• Generative Models — 22 citations into it
• 3D Vision & Pose — 18 citations into it
• Artificial Intelligence — 11 citations into it
• Geology — 8 citations into it
• Aerospace Engineering — 6 citations into it

Whom Biao Zhang trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Alex Krizhevsky
5. Charles Ruizhongtai Qi
6. Yann LeCun
7. Yoshua Bengio
8. Ross B. Girshick
9. Ilya Sutskever
10. X. Zhang

Papers from Biao Zhang's perspective

Ordered by how strongly the researchers Biao Zhang 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. ImageNet classification with deep convolutional neural networks
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. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• 3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models (2023) — 520 citations