Bowen Pan
Computer Vision and Pattern Recognition · 2019–2023
A researcher in the Science corpus: 4 papers; trusts 544 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 159 citations into it
- Artificial Intelligence — 103 citations into it
- Model Architectures — 43 citations into it
- Efficiency & Compression — 31 citations into it
- Aerospace Engineering — 30 citations into it
- Computational Mechanics — 9 citations into it
- Optimization & Training — 8 citations into it
- Generative Models — 6 citations into it
Whom Bowen Pan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Alex Graves
- Ross B. Girshick
- Yann LeCun
- Ilya Sutskever
- Karen Simonyan
Who trusts Bowen Pan overall
- Junjie Huang
- Brady Zhou
- Thomas Roddick
- Cody Reading
- Qi Li
- Rameswar Panda
- Runsheng Xu
- Zhijian Liu
- Zhiqi Li
- Guan Huang
Papers from Bowen Pan's perspective
Ordered by how strongly the researchers Bowen Pan trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Cross-View Semantic Segmentation for Sensing Surroundings (2019) — 329 citations
- Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting (2023) — 1,097 citations
- VA-RED2: Video Adaptive Redundancy Reduction (2021) — 22 citations
- IA-RED2: Interpretability-Aware Redundancy Reduction for Vision Transformers (2021) — 204 citations