Bolin Lai

Ph.D. Student

Georgia Institute of Technology

Email: bolin [dot] lai [at] gatech [dot] edu


Biography

Hi! I am a second-year Ph.D. student in the Machine Learning Program of Georgia Institute of Technology, working with Prof. James M. Rehg. Prior to starting my Ph.D., I got my Master's degree majoring in ECE and Bachelor's degree majoring in Information Engineering from Shanghai Jiao Tong University. I worked with Prof. Ya Zhang during my master.

My research interests lie in Video Understanding, Multi-Modal Learning and general machine learning algorithms. Currently, I'm working on gaze estimation on egocentric videos and audio-visual fusion to understand human interactions with the world.

News

Selected Publications

In the Eye of Transformer: Global-Local Correlation for Egocentric Gaze Estimation
Bolin Lai, Miao Liu, Fiona Ryan, James M. Rehg

British Machine Visioin Conference (BMVC), 2022, presented as Spotlight
[Website] [Paper] [Code (comming soon...))]

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

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021.
[Paper]

VeniBot: Towards Autonomous Venipuncture with Automatic Puncture Area and Angle Regression from NIR Images
Xu Cao, Zijie Chen, Bolin Lai, Yuxuan Wang, Yu Chen, Zhengqing Cao, Zhilin Yang, Nanyang Ye, Junbo Zhao, Xiao-Yun Zhou, Peng Qi

IROS workshop "Perception and Navigation for Autonomous Robotics in Unstructured and Dynamic Environments", 2021.
[Paper]

Hetero-Modal Learning and Expansive Consistency Constraints for Semi-Supervised Detection from Multi-Sequence Data
Bolin Lai, Yuhsuan Wu, Xiao-Yun Zhou, Peng Wang, Le Lu, Lingyun Huang, Mei Han, Jing Xiao, Heping Hu, Adam P. Harrison

Machine Learning in Medical Imaging (MLMI), 2021.
[Paper]

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

International Workshop on PRedictive Intelligence In MEdicine, 2021.
[Paper]

Spatial Regularized Classification Network for Spinal Dislocation Diagnosis
Bolin Lai, Shiqi Peng, Guangyu Yao, Ya Zhang, Xiaoyun Zhang, Yanfeng Wang, Hui Zhao

Machine Learning in Medical Imaging (MLMI), 2021.
[Paper]

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