Lile Cai
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
9
Venues
6
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
9 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Evidential Learning-based Certainty Estimation for Robust Dense Feature Matching. | Lile Cai, Chuan-Sheng Foo, Xun Xu, Zaiwang Gu, Jun Cheng, Xulei Yang |
| 2025 | WACV | Uncertainty Aware Interest Point Detection and Description. | Jingbo Zeng, Zaiwang Gu, Weide Liu, Lile Cai, Jun Cheng |
| 2024 | ICIP | Box-Level Class-Balanced Sampling For Active Object Detection. | Jingyi Liao, Xun Xu, Chuan-Sheng Foo, Lile Cai |
| 2024 | ISCAS | The Initialization Factor: Understanding its Impact on Active Learning for Analog Circuit Design. | Sezin Kircali Ata, Zhi-Hui Kong, Anusha James, Lile Cai, Kiat Seng Yeo, Khin Mi Mi Aung, Chuan Sheng Foo, Ashish James |
| 2022 | ICIP | Exploring Active Learning for Semiconductor Defect Segmentation. | Lile Cai, Ramanpreet Singh Pahwa, Xun Xu, Jie Wang, Richard Chang, Lining Zhang, Chuan-Sheng Foo |
| 2021 | CVPR | Revisiting Superpixels for Active Learning in Semantic Segmentation With Realistic Annotation Costs. | Lile Cai, Xun Xu, Jun Hao Liew, Chuan Sheng Foo |
| 2019 | CVPR | 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 | ISLPED | 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 |
| 2017 | ICIP | Anomaly detection in thermal images using deep neural networks. | Lile Cai, Yiqun Li |