Nanyang Ye

OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization

Nanyang Ye, Kaican Li, Haoyue Bai et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · 70 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +17

DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation

Haoyue Bai, Rui Sun, Lanqing Hong et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2021 · 57 citations · Full text

Artificial Intelligence, Structured Prediction, Convolutional Neural Network +16

Dataset and Metrics for Predicting Local Visible Differences

Krzysztof Wolski, Daniele Giunchi, Nanyang Ye et al. · ACM Transactions on Graphics · 2018 · 42 citations · Full text

Engineering, Machine Learning, Change Detection +19

Improving the robustness of analog deep neural networks through a Bayes-optimized noise injection approach

Nanyang Ye, Linfeng Cao, Liujia Yang et al. · Communications Engineering · 2023 · 28 citations · Full text

Bayesian Adversarial Learning

Nanyang Ye, Zhanxing Zhu · ePrints Soton (University of Southampton) · 2018 · 27 citations