Shao, Ling
Inception Institute of Artificial Intelligence
13 papers on CoChatORCID 0000-0002-8264-6117
Most cited papers
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Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Wang, W., Xie, E., Li, X., Fan, D.-P., Song, K., Liang, D., Lu, T., Luo, P., & Shao, L. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 5,259
- Verified
Pvt v2: Improved baselines with pyramid vision transformer
Wang, W., Xie, E., Li, X., Fan, D.-P., Song, K., Liang, D., Lu, T., Luo, P., & Shao, L. (2022) · Computational Visual Media
Advanced Neural Network ApplicationsVisual Attention and Saliency Detection
Cited by 2,439
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Transfer Learning for Visual Categorization: A Survey
Shao, L., Zhu, F., & Li, X. (2015) · IEEE Transactions on Neural Networks and Learning Systems
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 895
- Verified
Salient Object Detection via Integrity Learning
Zhuge, M., Fan, D.-P., Liu, N., Zhang, D., Xu, D., & Shao, L. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence
Visual Attention and Saliency DetectionAdvanced Neural Network Applications
Cited by 403
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Human-Aware Motion Deblurring
Shen, Z., Wang, W., Lu, X., Shen, J., Ling, H., Xu, T., & Shao, L. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
Advanced Image Processing TechniquesImage Enhancement Techniques
Cited by 359
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RGB-D salient object detection: A survey
Zhou, T., Fan, D.-P., Cheng, M.-M., Shen, J., & Shao, L. (2021) · Computational Visual Media
Visual Attention and Saliency DetectionAdvanced Neural Network Applications
Cited by 331
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Striking the Right Balance With Uncertainty
Khan, S., Hayat, M., Zamir, S. W., Shen, J., & Shao, L. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Imbalanced Data Classification TechniquesMachine Learning and Data Classification
Cited by 180
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Domain General Face Forgery Detection by Learning to Weight
Sun, K., Liu, H., Ye, Q., Gao, Y., Liu, J., Shao, L., & Ji, R. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence
Digital Media Forensic DetectionFace recognition and analysis
Cited by 155
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Unsupervised Deep Video Hashing via Balanced Code for Large-Scale Video Retrieval
Wu, G., Han, J., Guo, Y., Liu, L., Ding, G., Ni, Q., & Shao, L. (2019) · IEEE Transactions on Image Processing
Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques
Cited by 148
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Learning to Hash With Optimized Anchor Embedding for Scalable Retrieval
Guo, Y., Ding, G., Liu, L., Han, J., & Shao, L. (2017) · IEEE Transactions on Image Processing
Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques
Cited by 108
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M3DSSD: Monocular 3D Single Stage Object Detector
Luo, S., Dai, H., Shao, L., & Ding, Y. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety
Cited by 93
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Augmented reality based real-time subcutaneous vein imaging system
Ai, D., Yang, J., Fan, J., Zhao, Y., Song, X., Shen, J., Shao, L., & Wang, Y. (2016) · Biomedical Optics Express
Augmented Reality ApplicationsOptical Imaging and Spectroscopy Techniques
Cited by 62
- Verified
Compressive Sequential Learning for Action Similarity Labeling
Qin, J., Liu, L., Zhang, Z., Wang, Y., & Shao, L. (2016) · IEEE Transactions on Image Processing
Human Pose and Action RecognitionHand Gesture Recognition Systems
Cited by 55
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