Weipeng Xu

Computer Vision and Pattern Recognition · 2016–2023

A researcher in the Science corpus: 9 papers; trusts 832 researchers and is trusted by 80 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 400 citations into it; #3,485 of 21,575 by trust here, #2,836 by citations
• Human-Computer Interaction — 76 citations into it
• Artificial Intelligence — 70 citations into it
• Computational Mechanics — 53 citations into it; #5,128 of 10,001 by trust here, #3,652 by citations
• 3D Vision & Pose — 47 citations into it
• Control and Systems Engineering — 46 citations into it; #2,874 of 8,257 by trust here, #858 by citations
• Biomedical Engineering — 42 citations into it
• Aerospace Engineering — 32 citations into it

Whom Weipeng Xu 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. Yann LeCun
6. Yoshua Bengio
7. Ross B. Girshick
8. Ilya Sutskever
9. Andrew Zisserman
10. Karen Simonyan

Who trusts Weipeng Xu overall

1. Gyeongsik Moon
2. Thiemo Alldieck
3. Gerard Pons-Moll
4. Julian Chibane
5. Muhammed Kocabas
6. Xiao Sun
7. Yotam Nitzan
8. Zerong Zheng
9. Shunsuke Saito
10. Michael J. Black

Papers from Weipeng Xu's perspective

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

Their papers

• Deep video portraits (2018) — 780 citations
• Monocular 3D Human Pose Estimation in the Wild Using Improved CNN Supervision (2016) — 1,341 citations
• VNect (2017) — 874 citations
• Video Based Reconstruction of 3D People Models (2018) — 550 citations
• Single-Shot Multi-person 3D Pose Estimation from Monocular RGB (2017) — 460 citations
• Monocular Real-Time Hand Shape and Motion Capture Using Multi-Modal Data (2020) — 235 citations
• A Hybrid Model for Identity Obfuscation by Face Replacement (2018) — 135 citations
• Perpetual Humanoid Control for Real-time Simulated Avatars (2023) — 307 citations
• Monocular 3D Human Pose Estimation Using Transfer Learning and Improved CNN Supervision (2016) — 51 citations