Sida Peng
Computer Vision and Pattern Recognition · 2018–2024
A researcher in the Science corpus: 5 papers; trusts 557 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 207 citations into it
- Computer Graphics and Computer-Aided Design — 82 citations into it
- Computational Mechanics — 78 citations into it
- 3D Vision & Pose — 40 citations into it
- Aerospace Engineering — 30 citations into it
- Artificial Intelligence — 23 citations into it
- Control and Systems Engineering — 21 citations into it
- Optimization & Training — 5 citations into it
Whom Sida Peng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick
- Diederik P. Kingma
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Yann LeCun
- David G. Lowe
- Karen Simonyan
- Jitendra Malik
Who trusts Sida Peng overall
- Chung-Yi Weng
- Meng Tian
- Guoguang Du
- Yann Labb'e
- Christopher Xie
- Shreyas Hampali
- Yisheng He
- Wei Jiang
- Wentong Li
- Shih-Yang Su
Papers from Sida Peng's perspective
Ordered by how strongly the researchers Sida 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)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans (2020) — 874 citations
- PVNet: Pixel-Wise Voting Network for 6DoF Pose Estimation (2018) — 1,078 citations
- Deep Snake for Real-Time Instance Segmentation (2020) — 363 citations
- Animatable Neural Radiance Fields for Modeling Dynamic Human Bodies (2021) — 474 citations
- GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation (2024) — 333 citations