Lai, Zhengfeng

16 publications

ICML 2025 Contrastive Localized Language-Image Pre-Training Hong-You Chen, Zhengfeng Lai, Haotian Zhang, Xinze Wang, Marcin Eichner, Keen You, Meng Cao, Bowen Zhang, Yinfei Yang, Zhe Gan

ICCV 2025 ETVA: Evaluation of Text-to-Video Alignment via Fine-Grained Question Generation and Answering Kaisi Guan, Zhengfeng Lai, Yuchong Sun, Peng Zhang, Wei Liu, Kieran Liu, Meng Cao, Ruihua Song

ICLR 2025 MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-Tuning Haotian Zhang, Mingfei Gao, Zhe Gan, Philipp Dufter, Nina Wenzel, Forrest Huang, Dhruti Shah, Xianzhi Du, Bowen Zhang, Yanghao Li, Sam Dodge, Keen You, Zhen Yang, Aleksei Timofeev, Mingze Xu, Hong-You Chen, Jean-Philippe Fauconnier, Zhengfeng Lai, Haoxuan You, Zirui Wang, Afshin Dehghan, Peter Grasch, Yinfei Yang

ICLR 2025 Revisit Large-Scale Image-Caption Data in Pre-Training Multimodal Foundation Models Zhengfeng Lai, Vasileios Saveris, Chen Chen, Hong-You Chen, Haotian Zhang, Bowen Zhang, Wenze Hu, Juan Lao Tebar, Zhe Gan, Peter Grasch, Meng Cao, Yinfei Yang

ICCV 2025 STIV: Scalable Text and Image Conditioned Video Generation Zongyu Lin, Wei Liu, Chen Chen, Jiasen Lu, Wenze Hu, Tsu-Jui Fu, Jesse Allardice, Zhengfeng Lai, Liangchen Song, Bowen Zhang, Cha Chen, Yiran Fei, Lezhi Li, Yinfei Yang, Yizhou Sun, Kai-Wei Chang

ICLRW 2025 Stiv: Scalable Text and Image Conditioned Video Generation Zongyu Lin, Wei Liu, Chen Chen, Jiasen Lu, Wenze Hu, Tsu-Jui Fu, Jesse Allardice, Zhengfeng Lai, Liangchen Song, Bowen Zhang, Cha Chen, Yiran Fei, Yifan Jiang, Lezhi Li, Yizhou Sun, Kai-Wei Chang, Yinfei Yang

NeurIPS 2025 StreamBridge: Turning Your Offline Video Large Language Model into a Proactive Streaming Assistant Haibo Wang, Bo Feng, Zhengfeng Lai, Mingze Xu, Shiyu Li, Weifeng Ge, Afshin Dehghan, Meng Cao, Ping Huang

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

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

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