Lile Cai

Scientist, Institute for Infocomm Research, A*STAR

Joined

December 2019

Names

Lile Cai

Emails

****@i2r.a-star.edu.sg (Confirmed)

****@gmail.com (Confirmed)

****@a-star.edu.sg (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Scientist

Institute for Infocomm Research, A*STAR (i2r.a-star.edu.sg)

2016 – Present

PhD student

National University of Singapore (nus.edu.sg)

2011 – 2015

Advisors, Relations & Conflicts

PhD Advisor

Ong Sim Heng

2011 – 2015

Expertise

active learning

2019 – Present

semantic segmentation

2019 – Present

object detection

2016 – Present

Publications

Towards Few-Shot Adaptation for Dense Cross-Modality Image Matching
Lile Cai, Xulei Yang, Xun Xu, ZAIWANG GU, Nancy F. Chen, Jun Cheng
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Evidential Learning-based Certainty Estimation for Robust Dense Feature Matching
Lile Cai, Chuan-Sheng Foo, Xun Xu, ZAIWANG GU, Jun Cheng, Xulei Yang
- ICLR 2025 Poster
- Readers: Everyone
Harmonious convergence for confidence estimation in depth estimation and completion
ZAIWANG GU, Yanyu Xu, Lile Cai, Xulei Yang, Jun Cheng
- Submitted to ICLR 2025
- Readers: Everyone
Hybrid Active Learning with Uncertainty-Weighted Embeddings
Yinan He, Lile Cai, Jingyi Liao, Chuan-Sheng Foo
- Accepted by TMLR
- Readers: Everyone
Revisiting Superpixels for Active Learning in Semantic Segmentation With Realistic Annotation Costs
Lile Cai, Xun Xu, Jun Hao Liew, Chuan Sheng Foo
- 2021 (modified: 29 Sept 2021)
- CVPR 2021
- Readers: Everyone
Label-Efficient Point Cloud Semantic Segmentation: An Active Learning Approach
Xian Shi, Xun Xu, Ke Chen, Lile Cai, Chuan Sheng Foo, Kui Jia
- 2021 (modified: 29 Sept 2021)
- CoRR 2021
- Readers: Everyone
Exploring Spatial Diversity for Region-Based Active Learning
Lile Cai, Xun Xu, Lining Zhang, Chuan-Sheng Foo
- 2021 (modified: 17 Feb 2022)
- IEEE Trans. Image Process. 2021
- Readers: Everyone
MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors.
Lile Cai, Wang Zhe Mark, Zhe Wang, Jie Lin, Chuan Sheng Foo, Mohamed M. Sabry Aly, Vijay Chandrasekhar
- 2019 (modified: 14 Dec 2023)
- CVPR2019
- Readers: Everyone
TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks
Lile Cai, Anne-Maelle Barneche, Arthur Herbout, Chuan Sheng Foo, Jie Lin, Vijay Ramaseshan Chandrasekhar, Mohamed M. Sabry Aly
- 2019 (modified: 06 Nov 2022)
- ISLPED 2019
- Readers: Everyone
MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors
Lile Cai, Bin Zhao, Zhe Wang, Jie Lin, Chuan Sheng Foo, Mohamed M. Sabry Aly, Vijay Chandrasekhar
- 2019 (modified: 29 Sept 2021)
- CVPR 2019
- Readers: Everyone

View all 15 publications

Co-Authors

View all 29 co-authors