no code implementations • 4 Mar 2024 • Sangmin Lee, Bolin Lai, Fiona Ryan, Bikram Boote, James M. Rehg
Furthermore, we propose a novel multimodal baseline that leverages densely aligned language-visual representations by synchronizing visual features with their corresponding utterances.
no code implementations • 14 Feb 2024 • Shiqi Peng, Bolin Lai, Guangyu Yao, Xiaoyun Zhang, Ya zhang, Yan-Feng Wang, Hui Zhao
In this paper, we explore a learning-based automatic bone quality classification method for spinal metastasis based on CT images.
no code implementations • 14 Feb 2024 • Shiqi Peng, Bolin Lai, Guangyu Yao, Xiaoyun Zhang, Ya zhang, Yan-Feng Wang, Hui Zhao
In this paper, we propose a Weakly supervised Iterative Spinal Segmentation (WISS) method leveraging only four corner landmark weak labels on a single sagittal slice to achieve automatic volumetric segmentation from CT images for VBs.
no code implementations • 6 Dec 2023 • Bolin Lai, Xiaoliang Dai, Lawrence Chen, Guan Pang, James M. Rehg, Miao Liu
Additionally, existing diffusion-based image manipulation models are sub-optimal in controlling the state transition of an action in egocentric image pixel space because of the domain gap.
no code implementations • 6 May 2023 • Bolin Lai, Fiona Ryan, Wenqi Jia, Miao Liu, James M. Rehg
Motivated by this observation, we introduce the first model that leverages both the video and audio modalities for egocentric gaze anticipation.
no code implementations • 16 Dec 2022 • Bolin Lai, Hongxin Zhang, Miao Liu, Aryan Pariani, Fiona Ryan, Wenqi Jia, Shirley Anugrah Hayati, James M. Rehg, Diyi Yang
We also explore the generalization ability of language models for persuasion modeling and the role of persuasion strategies in predicting social deduction game outcomes.
no code implementations • 8 Aug 2022 • Bolin Lai, Miao Liu, Fiona Ryan, James M. Rehg
To this end, we design the transformer encoder to embed the global context as one additional visual token and further propose a novel Global-Local Correlation (GLC) module to explicitly model the correlation of the global token and each local token.
no code implementations • 17 Oct 2021 • Peng Wang, YuHsuan Wu, Bolin Lai, Xiao-Yun Zhou, Le Lu, Wendi Liu, Huabang Zhou, Lingyun Huang, Jing Xiao, Adam P. Harrison, Ningyang Jia, Heping Hu
Results: the proposed CAD solution achieves a mean F1 score of 0. 62, outperforming the abdominal radiologist (0. 47), matching the junior hepatology radiologist (0. 61), and underperforming the senior hepatology radiologist (0. 68).
no code implementations • 27 May 2021 • Xu Cao, Zijie Chen, Bolin Lai, Yuxuan Wang, Yu Chen, Zhengqing Cao, Zhilin Yang, Nanyang Ye, Junbo Zhao, Xiao-Yun Zhou, Peng Qi
For the automation, we focus on the positioning part and propose a Dual-In-Dual-Out network based on two-step learning and two-task learning, which can achieve fully automatic regression of the suitable puncture area and angle from near-infrared(NIR) images.
no code implementations • 27 May 2021 • Yu Chen, Yuxuan Wang, Bolin Lai, Zijie Chen, Xu Cao, Nanyang Ye, Zhongyuan Ren, Junbo Zhao, Xiao-Yun Zhou, Peng Qi
In the modern medical care, venipuncture is an indispensable procedure for both diagnosis and treatment.
no code implementations • 29 Apr 2021 • 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, Kuo Chang-Fu, Adam Harrison, Shun Miao
It first trains a DAG model on the labeled data and then fine-tunes the pre-trained model on the unlabeled data with a teacher-student SSL mechanism.
no code implementations • 24 Mar 2021 • Bolin Lai, YuHsuan Wu, Xiao-Yun Zhou, Peng Wang, Le Lu, Lingyun Huang, Mei Han, Jing Xiao, Heping Hu, Adam P. Harrison
Lesion detection serves a critical role in early diagnosis and has been well explored in recent years due to methodological advancesand increased data availability.
no code implementations • 13 Dec 2020 • Bolin Lai, YuHsuan Wu, Xiaoyu Bai, Xiao-Yun Zhou, Peng Wang, Jinzheng Cai, Yuankai Huo, Lingyun Huang, Yong Xia, Jing Xiao, Le Lu, Heping Hu, Adam Harrison
Using radiological scans to identify liver tumors is crucial for proper patient treatment.