Hanzhang Tu
Computer Vision and Pattern Recognition · 2022
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 36 citations into it
- Computer Graphics and Computer-Aided Design — 30 citations into it
Whom Hanzhang Tu trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Andreas Geiger (in Computer Vision and Pattern Recognition)
- Jitendra Malik (in Computer Vision and Pattern Recognition)
- Michael Oechsle (in Computer Vision and Pattern Recognition)
- S. M. Seitz (in Computer Vision and Pattern Recognition)
Papers from Hanzhang Tu's perspective
Ordered by how strongly the researchers Hanzhang Tu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- GENERATIVE ADVERSARIAL NETS
- Gradient-based learning applied to document recognition
- Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)