Jiebo Luo
7 papers in the PaperMetrix corpus
Papers by this author
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Fine-grained Mining of Illicit Drug Use Patterns Using Social Multimedia Data from Instagram
2016 · arXiv (Cornell University)
According to NSDUH (National Survey on Drug Use and Health), 20 million Americans consumed drugs in the past few 30 days. Combating illicit drug use is of great interest to public health and law enforcement …
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Pricing the woman card: Gender politics between hillary clinton and donald trump
2016
In this paper, we introduce computer vision to the study of gender politics and present a data-driven method to measure the impact of the `woman card' exchange between Hillary Clinton and Donald Trump. Building from …
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#MeToo on Campus: Studying College Sexual Assault at Scale Using Data Reported on Social Media
2020 · arXiv (Cornell University)
Recently, the emergence of the #MeToo trend on social media has empowered thousands of people to share their own sexual harassment experiences. This viral trend, in conjunction with the massive personal information and content available …
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Region Comparison Network for Interpretable Few-shot Image Classification
2020 · arXiv (Cornell University)
While deep learning has been successfully applied to many real-world computer vision tasks, training robust classifiers usually requires a large amount of well-labeled data. However, the annotation is often expensive and time-consuming. Few-shot image classification …
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Prototype-Augmented Self-Supervised Generative Network for Generalized Zero-Shot Learning
2024 · IEEE Transactions on Image Processing
Generalized Zero-Shot Learning (GZSL) aims at recognizing images from both seen and unseen classes by constructing correspondences between visual images and semantic embedding. However, existing methods suffer from a strong bias problem, where unseen images …
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DRC: Discrete Representation Classifier With Salient Features via Fixed-Prototype
2024 · IEEE Transactions on Circuits and Systems for Video Technology
Image classification models including convolutional neural networks (CNN) and vision transformers (ViT) commonly employ a fully connected (FC) layer as the classifier. However, the fully connected nature of FC brings large amounts of weight parameters, …
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Iterative Dual Domain Adaptation for Neural Machine Translation
2019
Jiali Zeng, Yang Liu, Jinsong Su, Yubing Ge, Yaojie Lu, Yongjing Yin, Jiebo Luo. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language …