Guocheng Qian
Computer Vision and Pattern Recognition · 2019–2023
A researcher in the Science corpus: 3 papers; trusts 276 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 146 citations into it
- Computational Mechanics — 67 citations into it
- Artificial Intelligence — 61 citations into it
- Model Architectures — 32 citations into it
- Geology — 31 citations into it
- 3D Vision & Pose — 21 citations into it
- Aerospace Engineering — 20 citations into it
- Optimization & Training — 12 citations into it
Whom Guocheng Qian trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Geoffrey E. Hinton
- Diederik P. Kingma
- David G. Lowe
- Yoshua Bengio
- Yann LeCun
- Karen Simonyan
- Christian Szegedy
- Ross B. Girshick
Who trusts Guocheng Qian overall
Papers from Guocheng Qian's perspective
Ordered by how strongly the researchers Guocheng Qian 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)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors (2023) — 475 citations
- SGAS: Sequential Greedy Architecture Search (2019) — 210 citations
- PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies (2022) — 1,153 citations