Yilun Chen

Computer Vision and Pattern Recognition · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · 2017–2023

A researcher in the Science corpus: 5 papers; trusts 722 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 199 citations into it; #12,281 of 21,575 by trust here, #6,326 by citations
• Aerospace Engineering — 70 citations into it
• Artificial Intelligence — 69 citations into it; #19,805 of 35,345 by trust here, #10,566 by citations
• Computational Mechanics — 32 citations into it; #7,464 of 10,001 by trust here, #3,763 by citations
• Geology — 27 citations into it; #515 of 687 by trust here, #347 by citations
• 3D Vision & Pose — 22 citations into it
• Environmental Engineering — 15 citations into it; #3,639 of 5,479 by trust here, #2,178 by citations
• Model Architectures — 15 citations into it

Whom Yilun Chen trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Diederik P. Kingma
6. Yann LeCun
7. Yoshua Bengio
8. Shaoqing Ren
9. Christian Szegedy
10. Andrew Zisserman

Who trusts Yilun Chen overall

1. Bin Xiao
2. Xingyi Zhou
3. Tianwei Yin
4. Shaoshuai Shi
5. Haoshu Fang
6. Gyeongsik Moon
7. Shiyin Zhang
8. Jiefeng Li
9. Ke Sun
10. Jingdong Wang

Papers from Yilun Chen's perspective

Ordered by how strongly the researchers Yilun Chen 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. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Cascaded Pyramid Network for Multi-person Pose Estimation (2017) — 1,677 citations
• TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers (2022) — 996 citations
• Unifying Voxel-based Representation with Transformer for 3D Object Detection (2022) — 391 citations
• PointLLM: Empowering Large Language Models to Understand Point Clouds (2023) — 396 citations
• Fast Point R-CNN (2019) — 445 citations