Yuntao Chen

Computer Vision and Pattern Recognition · 2017–2023

A researcher in the Science corpus: 5 papers; trusts 630 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 156 citations into it; #7,088 of 21,575 by trust here, #5,333 by citations
• Artificial Intelligence — 79 citations into it; #19,959 of 35,345 by trust here, #9,092 by citations
• Aerospace Engineering — 26 citations into it
• Model Architectures — 17 citations into it
• Signal Processing — 10 citations into it
• Optimization & Training — 7 citations into it

Whom Yuntao Chen trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. David G. Lowe
6. Diederik P. Kingma
7. Yann LeCun
8. Yoshua Bengio
9. Shaoqing Ren
10. Ilya Sutskever

Who trusts Yuntao Chen overall

1. Zheng Xu
2. Mateusz Budnik
3. Minsoo Kang
4. Yen-Chang Hsu
5. Jianping Gou
6. Xiang Wu
7. Hengtong Hu
8. Qiang Meng
9. Wonpyo Park
10. Erik J. Bekkers

Papers from Yuntao Chen's perspective

Ordered by how strongly the researchers Yuntao 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. 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. Going deeper with convolutions

Their papers

• Scale-Aware Trident Networks for Object Detection (2019) — 1,060 citations
• DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer (2017) — 236 citations
• Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory (2023) — 345 citations
• Driving Into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving (2023) — 358 citations
• BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision (2022) — 460 citations