Lile Cai

A two-level clustering approach for multidimensional transfer function specification in volume visualization

Sim Heng Ong, Binh P. Nguyen, Chee-Kong Chui, 2015, The Visual Computer.

Label-Efficient Point Cloud Semantic Segmentation: An Active Learning Approach pdf

Ke Chen, Kui Jia, Lile Cai, 2021, ArXiv.

Anomaly detection in thermal images using deep neural networks

Yiqun Li, Lile Cai, 2017, ICIP.

MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors

Jie Lin, Chuan-Sheng Foo, Bin Zhao, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Automatic transfer function design for medical visualization using visibility distributions and projective color mapping

Sim Heng Ong, Binh P. Nguyen, Wei-Liang Tay, 2013, Comput. Medical Imaging Graph..

Rule‐Enhanced Transfer Function Generation for Medical Volume Visualization

Sim Heng Ong, Binh P. Nguyen, Chee-Kong Chui, 2015, Comput. Graph. Forum.

TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks

Jie Lin, Mohamed M. Sabry, Lile Cai, 2018, 2019 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED).

Label-Efficient Point Cloud Semantic Segmentation: An Active Learning Approach pdf

Ke Chen, Lile Cai, Kui Jia, 2021, ArXiv.

Exploring Spatial Diversity for Region-Based Active Learning

Lining Zhang, Chuan-Sheng Foo, Lile Cai, 2021, IEEE Transactions on Image Processing.