Lile Cai - RankMe

27 papers A* 3A 3B 3C 1Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Box-Level Class-Balanced Sampling for Active Object Detection. CoRR Jingyi Liao, Xun Xu, Chuan-Sheng Foo, Lile Cai
2025	A*	`conf`	Evidential Learning-based Certainty Estimation for Robust Dense Feature Matching. ICLR Lile Cai, Chuan-Sheng Foo, Xun Xu, Zaiwang Gu, Jun Cheng, XuLei Yang
2025	A	`conf`	Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field. ICME Yuzhe Zhu, Lile Cai, Kangkang Lu, Fayao Liu, XuLei Yang
2025	J	`jnl`	Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field. CoRR Yuzhe Zhu, Lile Cai, Kangkang Lu, Fayao Liu, XuLei Yang
2025	J	`jnl`	Exploring Active Learning for Semiconductor Defect Segmentation. CoRR Lile Cai, Ramanpreet Singh Pahwa, Xun Xu, Jie Wang, Richard Chang, Lining Zhang, Chuan-Sheng Foo
2025	J	`jnl`	Exploring Spatial Diversity for Region-based Active Learning. CoRR Lile Cai, Xun Xu, Lining Zhang, Chuan-Sheng Foo
2025	A	`conf`	Uncertainty Aware Interest Point Detection and Description. WACV Jingbo Zeng, Zaiwang Gu, Weide Liu, Lile Cai, Jun Cheng
2024	B	`conf`	Box-Level Class-Balanced Sampling For Active Object Detection. ICIP Jingyi Liao, Xun Xu, Chuan-Sheng Foo, Lile Cai
2024	J	`jnl`	Exploring Diversity-Based Active Learning for 3D Object Detection in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. Jinpeng Lin, Zhihao Liang, Shengheng Deng, Lile Cai, Tao Jiang, Tianrui Li, Kui Jia, Xun Xu
2024	J	`jnl`	Hybrid Active Learning with Uncertainty-Weighted Embeddings. Trans. Mach. Learn. Res. Yinan He, Lile Cai, Jingyi Liao, Chuan-Sheng Foo
2024	J	`jnl`	Label-Efficient Point Cloud Semantic Segmentation: A Holistic Active Learning Approach. World Sci. Annu. Rev. Artif. Intell. Xian Shi, Lile Cai, Ke Chen, Chuan Sheng Foo, Kui Jia, Xun Xu
2024	J	`jnl`	Revisiting pretraining for semi-supervised learning in the low-label regime. Neurocomputing Xun Xu, Jingyi Liao, Lile Cai, Manh Cuong Nguyen, Kangkang Lu, Wanyue Zhang, Yasin Yazici, Chuan Sheng Foo
2024	C	`conf`	The Initialization Factor: Understanding its Impact on Active Learning for Analog Circuit Design. ISCAS Sezin Kircali Ata, Zhi-Hui Kong, Anusha James, Lile Cai, Kiat Seng Yeo, Khin Mi Mi Aung, Chuan Sheng Foo, Ashish James
2024	—	`conf`	Towards Safe and Efficient Analog Circuit Design: Active Learning for Feasibility Region Exploration. APCCAS Sezin Kircali Ata, Zhi-Hui Kong, Anusha James, Lile Cai, Kiat Seng Yeo, Khin Mi Mi Aung, Chuan Sheng Foo, Ashish James
2022	B	`conf`	Exploring Active Learning for Semiconductor Defect Segmentation. ICIP Lile Cai, Ramanpreet Singh Pahwa, Xun Xu, Jie Wang, Richard Chang, Lining Zhang, Chuan-Sheng Foo
2022	J	`jnl`	Exploring Diversity-based Active Learning for 3D Object Detection in Autonomous Driving. CoRR Zhihao Liang, Xun Xu, Shengheng Deng, Lile Cai, Tao Jiang, Kui Jia
2022	J	`jnl`	Revisiting Pretraining for Semi-Supervised Learning in the Low-Label Regime. CoRR Xun Xu, Jingyi Liao, Lile Cai, Cuong Manh Nguyen, Kangkang Lu, Wanyue Zhang, Yasin Yazici, Chuan Sheng Foo
2021	J	`jnl`	Exploring Spatial Diversity for Region-Based Active Learning. IEEE Trans. Image Process. Lile Cai, Xun Xu, Lining Zhang, Chuan-Sheng Foo
2021	J	`jnl`	Label-Efficient Point Cloud Semantic Segmentation: An Active Learning Approach. CoRR Xian Shi, Xun Xu, Ke Chen, Lile Cai, Chuan Sheng Foo, Kui Jia
2021	A*	`conf`	Revisiting Superpixels for Active Learning in Semantic Segmentation With Realistic Annotation Costs. CVPR Lile Cai, Xun Xu, Jun Hao Liew, Chuan Sheng Foo
2019	A*	`conf`	MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors. CVPR Lile Cai, Bin Zhao, Zhe Wang, Jie Lin, Chuan Sheng Foo, Mohamed M. Sabry Aly, Vijay Chandrasekhar
2019	A	`conf`	TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks. ISLPED Lile Cai, Anne-Maelle Barneche, Arthur Herbout, Chuan Sheng Foo, Jie Lin, Vijay Ramaseshan Chandrasekhar, Mohamed M. Sabry Aly
2018	J	`jnl`	TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks. CoRR Lile Cai, Anne-Maelle Barneche, Arthur Herbout, Chuan Sheng Foo, Jie Lin, Vijay Ramaseshan Chandrasekhar, Mohamed M. Sabry
2017	J	`jnl`	A two-level clustering approach for multidimensional transfer function specification in volume visualization. Vis. Comput. Lile Cai, Binh P. Nguyen, Chee-Kong Chui, Sim Heng Ong
2017	B	`conf`	Anomaly detection in thermal images using deep neural networks. ICIP Lile Cai, Yiqun Li
2015	J	`jnl`	Rule-Enhanced Transfer Function Generation for Medical Volume Visualization. Comput. Graph. Forum Lile Cai, Binh P. Nguyen, Chee-Kong Chui, Sim Heng Ong
2013	J	`jnl`	Automatic transfer function design for medical visualization using visibility distributions and projective color mapping. Comput. Medical Imaging Graph. Lile Cai, Wei-Liang Tay, Binh P. Nguyen, Chee-Kong Chui, Sim Heng Ong