Cai Lile
Research Area
- Machine Learning
- Resource-Efficient Learning
- Computer Vision
- IEEE EPTC Best Academic Paper Award (2022)
- A*STAR Career Development Fund, Deep Active Learning for Object Detection, 2021.10--2024.9
1. Lile Cai, Chuan-Sheng Foo, Xun Xu, Zaiwang Gu, Jun Cheng, and Xulei Yang. Evidential Learning-Based Certainty Estimation for Robust Dense Feature Matching. In ICLR, 2025.
2. Yinan He*, Lile Cai*, Jingyi Liao and Chuan-Sheng Foo. Hybrid Active Learning with Uncertainty-Weighted Embeddings. In TMLR, 2024.
3. Lile Cai, Xun Xu, Jun Hao Liew, and Chuan Sheng Foo. Revisiting Superpixels for Active Learning in Semantic Segmentation with Realistic Annotation Costs. In CVPR, 2021.
4. Lile Cai, Bin Zhao, Zhe Wang, Jie Lin, Chuan Sheng Foo, Mohamed Sabry Aly, and Vijay Chandrasekhar. MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors. In CVPR, 2019.
- Reviewer for CVPR, ICCV, ECCV, NeuRIS, ICLR