Computer vision

Refereed Publications

1. Zhaoxiang Zhang, Hanqiu Deng, Xingyu Li, Unsupervised Liver Tumor Segmentation with Pseudo Anomaly Synthesis, MICCAI Workshop - Simulation And Synthesis In Medical Imaging, Oct 2023. Source Code
2. Hanqiu Deng, Zhaoxiang Zhang, Xingyu Li, Bi-directional Frame Interpolation for Unsupervised Video Anomaly Detection, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Jan 2023.
3. Shuangzhi Li, Zhijie Wang, Felix Jufei-Xu, Qing Kuo, Xingyu Li, Lei Ma, Common corruption robustness of point cloud detection: Benchmark and Enhancement, IEEE Transactions on Multimedia (TMM), 2023.
4. Ji Yang, Xinxin Zuo, Sen Wang, Zhenbo Yu, Xingyu Li, Bingbing Ni, Minglun Gong, Li Cheng, Object Wake-up: 3D Object Rigging from a Single Image, Proc. European Conference on Computer Vision (ECCV), Oct 2022.
5. Hanqiu Deng, Xingyu Li, Self-supervised Anomaly Detection with Random-shape Pseudo-outliers, Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jul 2022.
6. Chuan Guo, Shihao Zou, Xinxin Zuo, Sen Wang, Wei Ji, Xingyu Li, Li Cheng, Generating Diverse and Natural 3D Human Motions from Text, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2022.
7. Hanqiu Deng, Xingyu Li, Anomaly Detection via Reverse Distillation from One-Class Embedding, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2022. Source Code
8. Xingyu Li, Blind stain separation using model-aware generative learning and its applications on fluorescence microscopy images, Information Processing in Medical Imaging (IPMI), Jul 2021.
9. Hanwen Liang, Konstantinos N. Plataniotis, Xingyu Li, Stain style transfer of histopathology images via structure-preserved generative learning, MICCAI workshop on Machine Learning for Medical Image Reconstruction (MLMIR), Oct 2020. Source Code
10. Xingyu Li, Konstantinos N. Plataniotis, How Much Off-The-Shelf Knowledge Is Transferable From Natural Images To Pathology Images?, PLOS One, vol. 15, no. 10, Sep 2020.
11. Xingyu Li, Marko Radulovic, Ksenija Kanjer, Konstantinos N. Plataniotis, Discriminative Pattern Mining for Breast Cancer Pathohistology Image Classification via Fully Convolutional Autoencoder, IEEE Access, vol. 7, pp. 36433 - 36445, 2019.
12. Xingyu Li, Konstantinos N. Plataniotis, Novel Chromaticity Similarity Based Color Texture Descriptor For Digital Pathology Image Analysis, PLOS One, vol. 13, no. 11, Nov 2018.
13. Mahdi Marsousi, Xingyu Li, Konstantinos N. Plataniotis, Shape-cludeed label consistent discriminative dictionary learning: an approach to detect and segment multi-class objects in image, Proc. IEEE International Conference on Image Processing (ICIP), Sep 2016.
14. Xingyu Li, Konstantinos N. Plataniotis, Toward breast cancer histopathology image diagnosis using local color binary pattern, Proc. 14th Annual Imaging Network Ontario Symposium (ImNO), Mar 2016.