Liu, Li

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

Abdar, M., Pourpanah, F., Hussain, S., Rezazadegan, D., Liu, L., Ghavamzadeh, M., Fieguth, P., Cao, X., Khosravi, A., Acharya, U. R., et al. (2021) · Information Fusion

Adversarial Robustness in Machine LearningGaussian Processes and Bayesian Inference

Cited by 3,111

Deep Learning for Generic Object Detection: A Survey

Liu, L., Ouyang, W., Wang, X., Fieguth, P., Chen, J., Liu, X., & Pietikäinen, M. (2018) · arXiv

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 2,965

Deep Learning for Generic Object Detection: A Survey

Liu, L., Ouyang, W., Wang, X., Fieguth, P., Chen, J., Liu, X., & Pietikäinen, M. (2020) · International Journal of Computer Vision

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 2,965

Local binary features for texture classification: Taxonomy and experimental study

Liu, L., Fieguth, P., Guo, Y., Wang, X., & Pietikäinen, M. (2017) · Pattern Recognition

Image Retrieval and Classification TechniquesRadiomics and Machine Learning in Medical Imaging

Cited by 369

Automated Visual Defect Classification for Flat Steel Surface: A Survey

Luo, Q., Fang, X., Su, J., Zhou, J., Zhou, B., Yang, C., Liu, L., Gui, W., & Tian, L. (2020) · IEEE Transactions on Instrumentation and Measurement

Industrial Vision Systems and Defect DetectionNon-Destructive Testing Techniques

Cited by 148

Few-Shot Class-Incremental Learning for Classification and Object Detection: A Survey

Zhang, J., Liu, L., Silvén, O., Pietikäinen, M., & Hu, D. (2025) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 84

Multi-view unsupervised feature selection with tensor robust principal component analysis and consensus graph learning

Liang, C., Wang, L., Liu, L., Zhang, H., & Guo, F. (2023) · Pattern Recognition

Face and Expression RecognitionTensor decomposition and applications

Cited by 72

Breast mass classification via deeply integrating the contextual information from multi-view data

Wang, H., Feng, J., Zhang, Z., Su, H., Cui, L., He, H., & Liu, L. (2018) · Pattern Recognition

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 68

Deep learning for visual speech analysis: A survey

Sheng, C., Kuang, G., Bai, L., Hou, C., Guo, Y., Xu, X., Pietikäinen, M., & Liu, L. (2024) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Speech and Audio ProcessingHand Gesture Recognition Systems

Cited by 64

Uncertainty-Guided Semi-Supervised Few-Shot Class-Incremental Learning With Knowledge Distillation

Cui, Y., Deng, W., Xu, X., Liu, Z., Liu, Z., Pietikäinen, M., & Liu, L. (2023) · IEEE Transactions on Multimedia

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 44

Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning

Cui, Y., Deng, W., Chen, H., & Liu, L. (2024) · IEEE Transactions on Neural Networks and Learning Systems

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 39

Semi-Supervised Few-Shot Class-Incremental Learning

Cui, Y., Xiong, W., Tavakolian, M., & Liu, L. (2021) · 2021 IEEE International Conference on Image Processing (ICIP)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 16