Pham, Chau

10 publications

ICLR 2026 CHAMMI-75: Pre-Training Multi-Channel Models with Heterogeneous Microscopy Images Vidit Agrawal, John Peters, Tyler N. Thompson, Mohammad Vali Sanian, Chau Pham, Nikita Moshkov, Arshad Kazi, Aditya Pillai, Jack Freeman, Byunguk Kang, Samouil L. Farhi, Ernest Fraenkel, Ron M. Stewart, Lassi Paavolainen, Bryan A. Plummer, Juan C. Caicedo

NeurIPS 2025 AutoEdit: Automatic Hyperparameter Tuning for Image Editing Chau Pham, Quan Dao, Mahesh Bhosale, Yunjie Tian, Dimitris N. Metaxas, David Doermann

NeurIPS 2025 ChA-MAEViT: Unifying Channel-Aware Masked Autoencoders and Multi-Channel Vision Transformers for Improved Cross-Channel Learning Chau Pham, Juan C. Caicedo, Bryan A. Plummer

CVPRW 2025 PLVM: A Tuning-Free Approach for Personalized Large Vision-Language Model Chau Pham, Hoang Phan, David S. Doermann, Yunjie Tian

NeurIPS 2024 Enhancing Feature Diversity Boosts Channel-Adaptive Vision Transformers Chau Pham, Bryan A. Plummer

WACV 2024 LP-OVOD: Open-Vocabulary Object Detection by Linear Probing Chau Pham, Truong Vu, Khoi Nguyen

ICLR 2024 Let Models Speak Ciphers: Multiagent Debate Through Embeddings Chau Pham, Boyi Liu, Yingxiang Yang, Zhengyu Chen, Tianyi Liu, Jianbo Yuan, Bryan A. Plummer, Zhaoran Wang, Hongxia Yang

WACV 2024 MixtureGrowth: Growing Neural Networks by Recombining Learned Parameters Chau Pham, Piotr Teterwak, Soren Nelson, Bryan A. Plummer

NeurIPS 2023 CHAMMI: A Benchmark for Channel-Adaptive Models in Microscopy Imaging Zitong Sam Chen, Chau Pham, Siqi Wang, Michael Doron, Nikita Moshkov, Bryan Plummer, Juan C. Caicedo

ECCV 2022 Few-Shot Object Counting and Detection Thanh Nguyen, Chau Pham, Khoi Nguyen, Minh Hoai