Longjiao Zhao — accepted AI-conference papers

2026

Train Once, Apply Broadly: Low-Frequency Generative Augmentation for Driver Distraction Recognition under Photometric Shifts

Dichao Liu, Longjiao Zhao, Mingkai Gu, HaoJiang Chen, Ying Ji

ICRA 2026poster

Driver distraction recognition (DDR) degrades under deployment-time shifts in camera/ISP pipelines and illumination. We frame this as a single-source domain generalization (SSDG) problem: training on one labeled source domain and testing on unseen devices and lighting. Motivated by this, we propose …

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2021

Rotation Invariance Analysis of Local Convolutional Features in Image Retrieval

Longjiao Zhao, Yu Wang, Jien Kato

ICASSP 2021accepted

Recently, local features computed using convolutional neural networks (CNNs) show good performance to image retrieval. However, the local convolutional features obtained by the CNNs (LC features) are inherently sensitive to rotation perturbations. This leads to miss-judgements in retrieval tasks. In…

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