Bo Peng
Computer Vision and Pattern Recognition · with Zhang · 2013–2023
A researcher in the Science corpus: 5 papers; trusts 449 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 148 citations into it
- Artificial Intelligence — 98 citations into it
- Model Architectures — 44 citations into it
- Efficiency & Compression — 34 citations into it
- Computational Mechanics — 29 citations into it
- Computer Graphics and Computer-Aided Design — 24 citations into it
- Statistics and Probability — 19 citations into it
- Optimization & Training — 14 citations into it
Whom Bo Peng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yoshua Bengio
- Karen Simonyan
- Diederik P. Kingma
- Yann LeCun
- Ilya Sutskever
- Ross B. Girshick
- Andrew Zisserman
Who trusts Bo Peng overall
- Frederick Tung
- Ruizhe Zhao
- Xavier Suau
- Greg Mori
- Wayne W. C. Luk
- Songlin Yang
- Songlin Yang
- Luca Zappella
Papers from Bo Peng's perspective
Ordered by how strongly the researchers Bo Peng trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- HeadNeRF: A Realtime NeRF-based Parametric Head Model (2021) — 331 citations
- Extreme Network Compression via Filter Group Approximation (2018) — 67 citations
- RWKV: Reinventing RNNs for the Transformer Era (2023) — 1,130 citations
- An Iterative Coordinate Descent Algorithm for High-Dimensional Nonconvex Penalized Quantile Regression (2015) — 93 citations
- A survey of graph theoretical approaches to image segmentation (2013) — 417 citations