Chiew-Lan Tai
Computer Vision and Pattern Recognition · 2008–2022
A researcher in the Science corpus: 5 papers; trusts 219 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 111 citations into it; #18,799 of 21,575 by trust here, #10,677 by citations
- Aerospace Engineering — 79 citations into it
- Geology — 40 citations into it
- Computational Mechanics — 39 citations into it
- Environmental Engineering — 8 citations into it
- Artificial Intelligence — 7 citations into it
Whom Chiew-Lan Tai trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David G. Lowe
- Kaiming He
- Shai Avidan
- Christopher Bongsoo Choy
- Geoffrey E. Hinton
- Ross B. Girshick
- Michael Garland
- Alex Krizhevsky
- Charles Ruizhongtai Qi
- Diederik P. Kingma
Who trusts Chiew-Lan Tai overall
Papers from Chiew-Lan Tai's perspective
Ordered by how strongly the researchers Chiew-Lan Tai 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)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Long Short-Term Memory
- Distinctive Image Features from Scale-Invariant Keypoints
Their papers
- Optimized scale-and-stretch for image resizing (2008) — 722 citations
- TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers (2022) — 996 citations
- PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency (2021) — 370 citations
- D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features (2020) — 531 citations
- Skeleton extraction by mesh contraction (2008) — 615 citations