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Taeyong Song

2 accepted papers

2023

Probabilistic Prompt Learning for Dense Prediction

CVPR 2023poster

Recent progress in deterministic prompt learning has become a promising alternative to various downstream vision tasks, enabling models to learn powerful visual representations with the help of pre-trained vision-language models. However, this approach results in limited performance for dense predic…

Cited by 23SourcePDFScholar
2023

Unsupervised Deep Asymmetric Stereo Matching With Spatially-Adaptive Self-Similarity

CVPR 2023poster

Unsupervised stereo matching has received a lot of attention since it enables the learning of disparity estimation without ground-truth data. However, most of the unsupervised stereo matching algorithms assume that the left and right images have consistent visual properties, i.e., symmetric, and eas…

Cited by 9SourcePDFScholar