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Joshua Tian Jin Tee
Joshua Tian Jin Tee
Phd Candidate (KAIST)
在 kaist.ac.kr 的电子邮件经过验证
标题
引用次数
引用次数
年份
Self-supervised visual representation learning via residual momentum
TX Pham, A Niu, K Zhang, TJT Jin, JW Hong, CD Yoo
IEEE Access, 2023
62023
Esd: Expected squared difference as a tuning-free trainable calibration measure
HS Yoon, JTJ Tee, E Yoon, S Yoon, G Kim, Y Li, CD Yoo
arXiv preprint arXiv:2303.02472, 2023
52023
C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion
HS Yoon, E Yoon, JTJ Tee, M Hasegawa-Johnson, Y Li, CD Yoo
arXiv preprint arXiv:2403.14119, 2024
42024
BI-MDRG: Bridging Image History in Multimodal Dialogue Response Generation
HS Yoon, E Yoon, JTJ Tee, K Zhang, YJ Heo, DS Chang, CD Yoo
arXiv preprint arXiv:2408.05926, 2024
2024
DifAugGAN: A Practical Diffusion-style Data Augmentation for GAN-based Single Image Super-resolution
A Niu, K Zhang, JTJ Tee, TX Pham, J Sun, CD Yoo, IS Kweon, Y Zhang
arXiv preprint arXiv:2311.18508, 2023
2023
Physics Informed Distillation for Diffusion Models
JTJ Tee, K Zhang, HS Yoon, DN Gowda, C Kim, CD Yoo
Transactions on Machine Learning Research, 0
Pivotal Prompt Tuning for Video Dynamic Editing
S Yoon, GH Koo, JW Hong, JTJ Tee, CD Yoo
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