Liu, Wei

CosFace: Large Margin Cosine Loss for Deep Face Recognition

Wang, H., Wang, Y., Zhou, Z., Ji, X., Gong, D., Zhou, J., Li, Z., & Liu, W. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Face recognition and analysisFace and Expression Recognition

Cited by 3,034

Frustum PointNets for 3D Object Detection from RGB-D Data

Qi, C. R., Liu, W., Wu, C., Su, H., & Guibas, L. J. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Advanced Neural Network Applications3D Shape Modeling and Analysis

Cited by 2,655

DSSD : Deconvolutional Single Shot Detector

Fu, C.-Y., Liu, W., Ranga, A., Tyagi, A., & Berg, A. C. (2017) · arXiv

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 1,624

Enhancing geometric factors in model learning and inference for object detection and instance segmentation

Zheng, Z., Wang, P., Ren, D., Liu, W., Ye, R., Hu, Q., & Zuo, W. (2022) · IEEE Transactions on Cybernetics

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 1,552

Going Deeper with Convolutions

Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., & Rabinovich, A. (2014) · arXiv

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 1,461

Generalizing Face Forgery Detection with High-frequency Features

Luo, Y., Zhang, Y., Yan, J., & Liu, W. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 609

Masked Autoencoders for Point Cloud Self-supervised Learning

Pang, Y., Wang, W., Tay, F. E. H., Liu, W., Tian, Y., & Yuan, L. (2022) · Lecture Notes in Computer Science

3D Shape Modeling and AnalysisDomain Adaptation and Few-Shot Learning

Cited by 605

Central Similarity Quantization for Efficient Image and Video Retrieval

Yuan, L., Wang, T., Zhang, X., Tay, F. E., Jie, Z., Liu, W., & Feng, J. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques

Cited by 413

VideoMoCo: Contrastive Video Representation Learning with Temporally Adversarial Examples

Pan, T., Song, Y., Yang, T., Jiang, W., & Liu, W. (2021) · arXiv

Human Pose and Action RecognitionDomain Adaptation and Few-Shot Learning

Cited by 238

Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation

Zhang, Q., Zhang, J., Liu, W., & Tao, D. (2019) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 219

Self-Supervised Spatio-Temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics

Wang, J., Jiao, J., Bao, L., He, S., Liu, Y., & Liu, W. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionDomain Adaptation and Few-Shot Learning

Cited by 210

Controllable Video Captioning With POS Sequence Guidance Based on Gated Fusion Network

Wang, B., Ma, L., Zhang, W., Jiang, W., Wang, J., & Liu, W. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 199

ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation

Sun, Y., Wang, S., Feng, S., Ding, S., Pang, C., Shang, J., Liu, J., Chen, X., Zhao, Y., Lu, Y., et al. (2021) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 186

Learning to Generate Time-Lapse Videos Using Multi-stage Dynamic Generative Adversarial Networks

Xiong, W., Luo, W., Ma, L., Liu, W., & Luo, J. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Generative Adversarial Networks and Image SynthesisAdvanced Image Processing Techniques

Cited by 162

LLDiffusion: Learning degradation representations in diffusion models for low-light image enhancement

Wang, T., Zhang, K., Zhang, Y., Luo, W., Stenger, B., Lu, T., Kim, T.-K., & Liu, W. (2025) · Pattern Recognition

Image Enhancement TechniquesAdvanced Image Processing Techniques

Cited by 150

Multimodal Emotion Recognition Using Deep Neural Networks

Tang, H., Liu, W., Zheng, W.-L., & Lu, B.-L. (2017) · Lecture Notes in Computer Science

Emotion and Mood RecognitionEEG and Brain-Computer Interfaces

Cited by 143

Decorrelated Adversarial Learning for Age-Invariant Face Recognition

Wang, H., Gong, D., Li, Z., & Liu, W. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Face recognition and analysisFace and Expression Recognition

Cited by 115

PharmacyGPT: exploration of artificial intelligence for medication management in the intensive care unit

Liu, Z., Xu, S., Wu, Z., Murray, B., F. Barreto, E., Li, S., Liu, W., Li, X., Liu, T., & Sikora, A. (2025) · BMC Medical Informatics and Decision Making

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 8