Ce Liu
Ce Liu coauthored Supervised Contrastive Learning, published at NeurIPS 2020. His research spans learning visual representations and correspondence between images. He coauthored AutoFlow, on learning training data for optical flow, in 2021 and MaskGIT, a masked generative image transformer, in 2022. Liu’s work includes GIT: A Generative Image-to-Text Transformer for Vision and Language in TMLR in January 2023. It provides a later example of his work connecting images with generated language.
Timeline
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2020
Contrastive visual learning
Ce Liu coauthored Supervised Contrastive Learning, published at NeurIPS 2020. His research spans learning visual representations and correspondence between images.
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2021–2022
Motion and image generation
He coauthored AutoFlow, on learning training data for optical flow, in 2021 and MaskGIT, a masked generative image transformer, in 2022.
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2023
Image-to-text models
Liu’s work includes GIT: A Generative Image-to-Text Transformer for Vision and Language, published in TMLR in January 2023. It provides a later example of his work connecting images with generated language.
Sources and credits
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