Chuah, Chen-Nee

11 publications

ECCV 2024 Bridging the Pathology Domain Gap: Efficiently Adapting CLIP for Pathology Image Analysis with Limited Labeled Data Zhengfeng Lai, Joohi Chauhan, Brittany N. Dugger, Chen-Nee Chuah

WACV 2024 Empowering Unsupervised Domain Adaptation with Large-Scale Pre-Trained Vision-Language Models Zhengfeng Lai, Haoping Bai, Haotian Zhang, Xianzhi Du, Jiulong Shan, Yinfei Yang, Chen-Nee Chuah, Meng Cao

ICML 2024 PerceptAnon: Exploring the Human Perception of Image Anonymization Beyond Pseudonymization for GDPR Kartik Patwari, Chen-Nee Chuah, Lingjuan Lyu, Vivek Sharma

ECCV 2024 VeCLIP: Improving CLIP Training via Visual-Enriched Captions Zhengfeng Lai, Haotian Zhang, Bowen Zhang, Wentao Wu, Haoping Bai, Aleksei Timofeev, Xianzhi Du, Zhe Gan, Jiulong Shan, Chen-Nee Chuah, Yinfei Yang, Meng Cao

ICMLW 2023 Benchmarking Adversarial Robustness of Compressed Deep Learning Models Brijesh Vora, Kartik Patwari, Syed Mahbub Hafiz, Zubair Shafiq, Chen-Nee Chuah

ICCVW 2023 CLIPath: Fine-Tune CLIP with Visual Feature Fusion for Pathology Image Analysis Towards Minimizing Data Collection Efforts Zhengfeng Lai, Zhuoheng Li, Luca Cerny Oliveira, Joohi Chauhan, Brittany N. Dugger, Chen-Nee Chuah

ICCV 2023 PADCLIP: Pseudo-Labeling with Adaptive Debiasing in CLIP for Unsupervised Domain Adaptation Zhengfeng Lai, Noranart Vesdapunt, Ning Zhou, Jun Wu, Cong Phuoc Huynh, Xuelu Li, Kah Kuen Fu, Chen-Nee Chuah

NeurIPSW 2022 Generalizable Semi-Supervised Learning Strategies for Multiple Learning Tasks Using 1-D Biomedical Signals Luca Cerny Oliveira, Zhengfeng Lai, Heather M Siefkes, Chen-Nee Chuah

CVPRW 2022 SaR: Self-Adaptive Refinement on Pseudo Labels for Multiclass-Imbalanced Semi-Supervised Learning Zhengfeng Lai, Chao Wang, Sen-Ching S. Cheung, Chen-Nee Chuah

ICML 2022 Smoothed Adaptive Weighting for Imbalanced Semi-Supervised Learning: Improve Reliability Against Unknown Distribution Data Zhengfeng Lai, Chao Wang, Henrry Gunawan, Sen-Ching S Cheung, Chen-Nee Chuah

ICCVW 2021 Joint Semi-Supervised and Active Learning for Segmentation of Gigapixel Pathology Images with Cost-Effective Labeling Zhengfeng Lai, Chao Wang, Luca Cerny Oliveira, Brittany N. Dugger, Sen-Ching Samson Cheung, Chen-Nee Chuah