PCL: Point Contrast and Labeling for Weakly Supervised Point Cloud Semantic Segmentation.
IEEE Trans. Multim., 2024
MAFFN-SAT: 3-D Point Cloud Defense via Multiview Adaptive Feature Fusion and Smooth Adversarial Training.
IEEE Trans. Geosci. Remote. Sens., 2024
TriEn-Net: Non-parametric Representation Learning for Large-Scale Point Cloud Semantic Segmentation.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024
Dynamic Multimodal Prompt Tuning: Boost Few-Shot Learning with VLM-Guided Point Cloud Models.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
ADDM: Adversarial Defenses with Diffusion Model for Medical Imaging Data Mining.
Proceedings of the Advanced Data Mining and Applications - 20th International Conference, 2024
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation.
IEEE Trans. Cybern., November, 2023
Boosting Crater Detection via ViT-Based Feature Fusion From Near-IR Images and DEMs.
IEEE Geosci. Remote. Sens. Lett., 2023
A Multimodal Adversarial Database: Towards A Comprehensive Assessment of Adversarial Attacks and Defenses on Medical Images.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023
Point-Level Label-Free Segmentation Framework for 3D Point Cloud Semantic Mining.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023
Tumor attention networks: Better feature selection, better tumor segmentation.
Neural Networks, 2021
Weakly supervised learning for image keypoint matching using graph convolutional networks.
Knowl. Based Syst., 2020
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Images for Segmentation.
CoRR, 2020
Correlation Matters: Multi-scale Fine-Grained Contextual Information Extraction for Hepatic Tumor Segmentation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
Fine-grained tumor segmentation on computed tomography slices by leveraging bottom-up and top-down strategies.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Exploring Long-Short-Term Context For Point Cloud Semantic Segmentation.
Proceedings of the IEEE International Conference on Image Processing, 2020
A novel fused convolutional neural network for biomedical image classification.
Medical Biol. Eng. Comput., 2019
Fast and Accurate Lung Tumor Spotting and Segmentation for Boundary Delineation on CT Slices in a Coarse-to-Fine Framework.
Proceedings of the Neural Information Processing - 26th International Conference, 2019
Kpsnet: Keypoint Detection and Feature Extraction for Point Cloud Registration.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Leveraging deep preference learning for indexing and retrieval of biomedical images.
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017
Building Recognition on Subregion's Multiscale Gist Feature Extraction and Corresponding Columns Information Based Dimensionality Reduction.
J. Appl. Math., 2014