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Yong Jae Lee

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Visual Instruction Tuning

Apr 17, 2023
Haotian Liu, Chunyuan Li, Qingyang Wu, Yong Jae Lee

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InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning

Mar 13, 2023
Zhuoran Yu, Yin Li, Yong Jae Lee

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Towards Universal Fake Image Detectors that Generalize Across Generative Models

Feb 20, 2023
Utkarsh Ojha, Yuheng Li, Yong Jae Lee

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Learning Customized Visual Models with Retrieval-Augmented Knowledge

Jan 17, 2023
Haotian Liu, Kilho Son, Jianwei Yang, Ce Liu, Jianfeng Gao, Yong Jae Lee, Chunyuan Li

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GLIGEN: Open-Set Grounded Text-to-Image Generation

Jan 17, 2023
Yuheng Li, Haotian Liu, Qingyang Wu, Fangzhou Mu, Jianwei Yang, Jianfeng Gao, Chunyuan Li, Yong Jae Lee

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Generalized Decoding for Pixel, Image, and Language

Dec 21, 2022
Xueyan Zou, Zi-Yi Dou, Jianwei Yang, Zhe Gan, Linjie Li, Chunyuan Li, Xiyang Dai, Harkirat Behl, Jianfeng Wang, Lu Yuan, Nanyun Peng, Lijuan Wang, Yong Jae Lee, Jianfeng Gao

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Expeditious Saliency-guided Mix-up through Random Gradient Thresholding

Dec 17, 2022
Minh-Long Luu, Zeyi Huang, Eric P. Xing, Yong Jae Lee, Haohan Wang

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Contrastive Learning for Diverse Disentangled Foreground Generation

Nov 04, 2022
Yuheng Li, Yijun Li, Jingwan Lu, Eli Shechtman, Yong Jae Lee, Krishna Kumar Singh

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EnergyMatch: Energy-based Pseudo-Labeling for Semi-Supervised Learning

Jun 13, 2022
Zhuoran Yu, Yin Li, Yong Jae Lee

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