Hao Tan
Computer Vision and Pattern Recognition · 2023–2024
A researcher in the Science corpus: 3 papers; trusts 253 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 168 citations into it
- Computer Graphics and Computer-Aided Design — 77 citations into it
- Artificial Intelligence — 40 citations into it
- 3D Vision & Pose — 36 citations into it
- Generative Models — 34 citations into it
- Model Architectures — 14 citations into it
- Optimization & Training — 10 citations into it
Whom Hao Tan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Kaiming He
- Alex Krizhevsky
- Yoshua Bengio
- Karen Simonyan
- Yann LeCun
- Ilya Sutskever
- Ross B. Girshick
- Andrew Zisserman
Who trusts Hao Tan overall
Papers from Hao Tan's perspective
Ordered by how strongly the researchers Hao Tan 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
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- GENERATIVE ADVERSARIAL NETS
Their papers
- LRM: Large Reconstruction Model for Single Image to 3D (2023) — 922 citations
- Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model (2023) — 433 citations
- GS-LRM: Large Reconstruction Model for 3D Gaussian Splatting (2024) — 348 citations