Bolin Lai

According to our database, Bolin Lai authored at least 21 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

In the Eye of Transformer: Global-Local Correlation for Egocentric Gaze Estimation and Beyond.

Bolin Lai, Miao Liu, Fiona Ryan, James M. Rehg

Int. J. Comput. Vis., 2024

Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation.

Bolin Lai, Felix Juefei-Xu, Miao Liu, Xiaoliang Dai, Nikhil Mehta, Chenguang Zhu, Zeyi Huang, James M. Rehg, Sangmin Lee, Ning Zhang, Tong Xiao

CoRR, 2024

Human Action Anticipation: A Survey.

Bolin Lai, Sam Toyer, Tushar Nagarajan, Rohit Girdhar, Shengxin Zha, James M. Rehg, Kris Kitani, Kristen Grauman, Ruta Desai, Miao Liu

CoRR, 2024

Towards Social AI: A Survey on Understanding Social Interactions.

Sangmin Lee, Minzhi Li, Bolin Lai, Wenqi Jia, Fiona Ryan, Xu Cao, Ozgur Kara, Bikram Boote, Weiyan Shi, Diyi Yang, James M. Rehg

CoRR, 2024

MM-SpuBench: Towards Better Understanding of Spurious Biases in Multimodal LLMs.

Wenqian Ye, Guangtao Zheng, Yunsheng Ma, Xu Cao, Bolin Lai, James M. Rehg, Aidong Zhang

CoRR, 2024

What is the Visual Cognition Gap between Humans and Multimodal LLMs?

Xu Cao, Bolin Lai, Wenqian Ye, Yunsheng Ma, Joerg Heintz, Jintai Chen, Jianguo Cao, James M. Rehg

CoRR, 2024

Listen to Look Into the Future: Audio-Visual Egocentric Gaze Anticipation.

Bolin Lai, Fiona Ryan, Wenqi Jia, Miao Liu, James M. Rehg

Proceedings of the Computer Vision - ECCV 2024, 2024

LEGO: Learning EGOcentric Action Frame Generation via Visual Instruction Tuning.

Bolin Lai, Xiaoliang Dai, Lawrence Chen, Guan Pang, James M. Rehg, Miao Liu

Proceedings of the Computer Vision - ECCV 2024, 2024

Modeling Multimodal Social Interactions: New Challenges and Baselines with Densely Aligned Representations.

Sangmin Lee, Bolin Lai, Fiona Ryan, Bikram Boote, James M. Rehg

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Werewolf Among Us: Multimodal Resources for Modeling Persuasion Behaviors in Social Deduction Games.

Bolin Lai, Hongxin Zhang, Miao Liu, Aryan J. Pariani, Fiona Ryan, Wenqi Jia, Shirley Anugrah Hayati, James M. Rehg, Diyi Yang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Werewolf Among Us: A Multimodal Dataset for Modeling Persuasion Behaviors in Social Deduction Games.

Bolin Lai, Hongxin Zhang, Miao Liu, Aryan J. Pariani, Fiona Ryan, Wenqi Jia, Shirley Anugrah Hayati, James M. Rehg, Diyi Yang

CoRR, 2022

In the Eye of Transformer: Global-Local Correlation for Egocentric Gaze Estimation.

Bolin Lai, Miao Liu, Fiona Ryan, James M. Rehg

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

A deep learning pipeline for localization, differentiation, and uncertainty estimation of liver lesions using multi-phasic and multi-sequence MRI.

Peng Wang, Yuhsuan Wu, Bolin Lai, Xiaoyun Zhou, Le Lu, Wendi Liu, Huabang Zhou, Lingyun Huang, Jing Xiao, Adam P. Harrison, Ningyang Jia, Heping Hu

CoRR, 2021

Scalable Semi-supervised Landmark Localization for X-ray Images Using Few-Shot Deep Adaptive Graph.

Xiao-Yun Zhou, Bolin Lai, Weijian Li, Yirui Wang, Kang Zheng, Fakai Wang, Chihung Lin, Le Lu, Lingyun Huang, Mei Han, Guotong Xie, Jing Xiao, Chang-Fu Kuo, Adam P. Harrison, Shun Miao

Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

Hetero-Modal Learning and Expansive Consistency Constraints for Semi-supervised Detection from Multi-sequence Data.

Bolin Lai, Yuhsuan Wu, Xiaoyun Zhou, Peng Wang, Le Lu, Lingyun Huang, Mei Han, Jing Xiao, Heping Hu, Adam P. Harrison

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Liver Tumor Localization and Characterization from Multi-phase MR Volumes Using Key-Slice Prediction: A Physician-Inspired Approach.

Bolin Lai, Yuhsuan Wu, Xiaoyu Bai, Xiaoyun Zhou, Peng Wang, Jinzheng Cai, Yuankai Huo, Lingyun Huang, Yong Xia, Jing Xiao, Le Lu, Heping Hu, Adam P. Harrison

Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021

Semi-supervised Vein Segmentation of Ultrasound Images for Autonomous Venipuncture.

Yu Chen, Yuxuan Wang, Bolin Lai, Zijie Chen, Xu Cao, Nanyang Ye, Zhongyuan Ren, Junbo Zhao, Xiao-Yun Zhou, Peng Qi

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

Fully-Automated Liver Tumor Localization and Characterization from Multi-Phase MR Volumes Using Key-Slice ROI Parsing: A Physician-Inspired Approach.

Bolin Lai, Xiaoyu Bai, Yuhsuan Wu, Xiaoyun Zhou, Peng Wang, Jinzheng Cai, Yuankai Huo, Lingyun Huang, Yong Xia, Jing Xiao, Le Lu, Heping Hu, Adam P. Harrison

CoRR, 2020

2019

Weakly Supervised Segmentation of Vertebral Bodies with Iterative Slice-Propagation.

Shiqi Peng, Bolin Lai, Guangyu Yao, Xiaoyun Zhang, Ya Zhang, Yanfeng Wang, Hui Zhao

Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019

Learning-Based Bone Quality Classification Method for Spinal Metastasis.

Shiqi Peng, Bolin Lai, Guangyu Yao, Xiaoyun Zhang, Ya Zhang, Yanfeng Wang, Hui Zhao

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Spatial Regularized Classification Network for Spinal Dislocation Diagnosis.

Bolin Lai, Shiqi Peng, Guangyu Yao, Ya Zhang, Xiaoyun Zhang, Yanfeng Wang, Hui Zhao

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019