Joshua Tian Jin Tee

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 8

Top Topics

Diffusion Models

Visual Representation

Language Modelling

Top Venues

Trans. Mach. Learn. Res.

Publications

Hee Suk Yoon, Eunseop Yoon, Joshua Tian Jin Tee, Mark Hasegawa-Johnson, Yingzhen Li, Chang D. Yoo
C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion. CoRR (2024)
Joshua Tian Jin Tee, Kang Zhang, Hee Suk Yoon, Dhananjaya N. Gowda, Chanwoo Kim, Chang D. Yoo
Physics Informed Distillation for Diffusion Models. Trans. Mach. Learn. Res. 2024 (2024)
Hee Suk Yoon, Eunseop Yoon, Joshua Tian Jin Tee, Mark A. Hasegawa-Johnson, Yingzhen Li, Chang D. Yoo
C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion. ICLR (2024)
Trung Xuan Pham, Axi Niu, Kang Zhang, Joshua Tian Jin Tee, Ji Woo Hong, Chang D. Yoo
Self-Supervised Visual Representation Learning via Residual Momentum. IEEE Access 11 (2023)
Axi Niu, Kang Zhang, Joshua Tian Jin Tee, Trung X. Pham, Jinqiu Sun, Chang D. Yoo, In So Kweon, Yanning Zhang
DifAugGAN: A Practical Diffusion-style Data Augmentation for GAN-based Single Image Super-resolution. CoRR (2023)
Hee Suk Yoon, Joshua Tian Jin Tee, Eunseop Yoon, Sunjae Yoon, Gwangsu Kim, Yingzhen Li, Chang D. Yoo
ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure. ICLR (2023)
Hee Suk Yoon, Joshua Tian Jin Tee, Eunseop Yoon, Sunjae Yoon, Gwangsu Kim, Yingzhen Li, Chang D. Yoo
ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure. CoRR (2023)
Trung X. Pham, Axi Niu, Kang Zhang, Sultan Rizky Hikmawan Madjid, Ji Woo Hong, Daehyeok Kim, Joshua Tian Jin Tee, Chang D. Yoo
Self-Supervised Visual Representation Learning via Residual Momentum. CoRR (2022)