Liu, Fenglin

12 publications

NeurIPS 2023 Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective Chenyu You, Weicheng Dai, Yifei Min, Fenglin Liu, David Clifton, S. Kevin Zhou, Lawrence Staib, James Duncan

NeurIPS 2022 Class-Aware Adversarial Transformers for Medical Image Segmentation Chenyu You, Ruihan Zhao, Fenglin Liu, Siyuan Dong, Sandeep Chinchali, Ufuk Topcu, Lawrence Staib, James Duncan

NeurIPS 2022 Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations Peng Jin, Jinfa Huang, Fenglin Liu, Xian Wu, Shen Ge, Guoli Song, David Clifton, Jie Chen

NeurIPS 2022 Retrieve, Reason, and Refine: Generating Accurate and Faithful Patient Instructions Fenglin Liu, Bang Yang, Chenyu You, Xian Wu, Shen Ge, Zhangdaihong Liu, Xu Sun, Yang Yang, David Clifton

AAAI 2021 Audio-Oriented Multimodal Machine Comprehension via Dynamic Inter- and Intra-Modality Attention Zhiqi Huang, Fenglin Liu, Xian Wu, Shen Ge, Helin Wang, Wei Fan, Yuexian Zou

NeurIPS 2021 Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation Fenglin Liu, Chenyu You, Xian Wu, Shen Ge, Sheng Wang, Xu Sun

CVPR 2021 Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation Fenglin Liu, Xian Wu, Shen Ge, Wei Fan, Yuexian Zou

AAAI 2021 Non-Autoregressive Coarse-to-Fine Video Captioning Bang Yang, Yuexian Zou, Fenglin Liu, Can Zhang

AAAI 2020 Federated Learning for Vision-and-Language Grounding Problems Fenglin Liu, Xian Wu, Shen Ge, Wei Fan, Yuexian Zou

NeurIPS 2020 Prophet Attention: Predicting Attention with Future Attention Fenglin Liu, Xuancheng Ren, Xian Wu, Shen Ge, Wei Fan, Yuexian Zou, Xu Sun

NeurIPS 2019 Aligning Visual Regions and Textual Concepts for Semantic-Grounded Image Representations Fenglin Liu, Yuanxin Liu, Xuancheng Ren, Xiaodong He, Xu Sun

IJCAI 2019 Exploring and Distilling Cross-Modal Information for Image Captioning Fenglin Liu, Xuancheng Ren, Yuanxin Liu, Kai Lei, Xu Sun