Connor Z. Lin is an author at Stanford University specializing in deep learning, image analysis, and computer vision.
Top concepts
EngineeringDeep LearningImage AnalysisComputer VisionMachine VisionComputer ScienceMachine LearningScene UnderstandingComputer EngineeringComputational Imaging
Publications per year
2021–2023
6
6
Julien Martel, David B. Lindell, Connor Z. Lin et al. · ACM Transactions on Graphics · 2021 · 149 citations
Geometric Learning, Convolutional Neural Network, Machine Vision +14
Efficient Geometry-aware 3D Generative Adversarial Networks
Eric R. Chan, Connor Z. Lin, Matthew A. Chan et al. · arXiv (Cornell University) · 2021 · 46 citations · Full text
3D GAN Inversion for Controllable Portrait Image Animation
Connor Z. Lin, David B. Lindell, Eric R. Chan et al. · arXiv (Cornell University) · 2022 · 25 citations · Full text
Single-Shot Implicit Morphable Faces with Consistent Texture Parameterization
Connor Z. Lin, Koki Nagano, Jan Kautz et al. · 2023 · 13 citations · Full text
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