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Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo
(2022)2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)We present an automated machine learning approach for uncalibrated photometric stereo (PS). Our work aims at discovering lightweight and computationally efficient PS neural networks with excellent surface normal accuracy. Unlike previous uncalibrated deep PS networks, which are handcrafted and carefully tuned, we leverage differentiable neural architecture search (NAS) strategy to find uncalibrated PS architecture automatically. We begin ...Conference Paper -
Generative Flows with Invertible Attentions
(2022)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Conference Paper -
Weakly Paired Multi-Domain Image Translation
(2020)31st British Machine Vision Conference 2020, BMVC 2020Conference Paper -
Efficient Conditional GAN Transfer with Knowledge Propagation across Classes
(2021)2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Conference Paper