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Anan Du
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2020 – today
- 2024
- [j8]Shen Zhang
, Anan Du
MAFFN-SAT: 3-D Point Cloud Defense via Multiview Adaptive Feature Fusion and Smooth Adversarial Training. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024) - [j7]Anan Du
PCL: Point Contrast and Labeling for Weakly Supervised Point Cloud Semantic Segmentation. IEEE Trans. Multim. 26: 8902-8914 (2024) - [c10]Xiang Gu, Shuchao Pang
Dynamic Multimodal Prompt Tuning: Boost Few-Shot Learning with VLM-Guided Point Cloud Models. ECAI 2024: 761-768 - [c9]Yifei Wang, Jixiang Miao, Anan Du
TriEn-Net: Non-parametric Representation Learning for Large-Scale Point Cloud Semantic Segmentation. PRCV (6) 2024: 417-430 - 2023
- [j6]Yuqi Dai
Boosting Crater Detection via ViT-Based Feature Fusion From Near-IR Images and DEMs. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j5]Shuchao Pang
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation. IEEE Trans. Cybern. 53(11): 6776-6787 (2023) - [c8]Anan Du
Point-Level Label-Free Segmentation Framework for 3D Point Cloud Semantic Mining. ADMA (1) 2023: 417-430 - [c7]Junyao Hu, Yimin He, Weiyu Zhang, Shuchao Pang, Ruhao Ma, Anan Du:
A Multimodal Adversarial Database: Towards A Comprehensive Assessment of Adversarial Attacks and Defenses on Medical Images. DSAA 2023: 1-10 - 2022
- [i2]Shuchao Pang, Anan Du, Mehmet A. Orgun, Yan Wang, Quan Z. Sheng, Shoujin Wang, Xiaoshui Huang, Zhenmei Yu:
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation. CoRR abs/2207.14472 (2022) - 2021
- [j4]Shuchao Pang
Tumor attention networks: Better feature selection, better tumor segmentation. Neural Networks 140: 203-222 (2021) - 2020
- [j3]Shu-Chao Pang
Weakly supervised learning for image keypoint matching using graph convolutional networks. Knowl. Based Syst. 197: 105871 (2020) - [c6]Anan Du
Exploring Long-Short-Term Context For Point Cloud Semantic Segmentation. ICIP 2020: 2755-2759 - [c5]Zhenmei Yu
Fine-grained tumor segmentation on computed tomography slices by leveraging bottom-up and top-down strategies. Image Processing 2020: 113130E - [c4]Shu-Chao Pang
Correlation Matters: Multi-scale Fine-Grained Contextual Information Extraction for Hepatic Tumor Segmentation. PAKDD (1) 2020: 462-474 - [i1]Shuchao Pang
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Images for Segmentation. CoRR abs/2005.03924 (2020)
2010 – 2019
- 2019
- [j2]Shu-Chao Pang
A novel fused convolutional neural network for biomedical image classification. Medical Biol. Eng. Comput. 57(1): 107-121 (2019) - [c3]Anan Du
Kpsnet: Keypoint Detection and Feature Extraction for Point Cloud Registration. ICIP 2019: 2576-2580 - [c2]Shu-Chao Pang
Fast and Accurate Lung Tumor Spotting and Segmentation for Boundary Delineation on CT Slices in a Coarse-to-Fine Framework. ICONIP (4) 2019: 589-597 - 2017
- [c1]Shu-Chao Pang
Leveraging deep preference learning for indexing and retrieval of biomedical images. NER 2017: 126-129 - 2014
- [j1]Bin Li
Building Recognition on Subregion's Multiscale Gist Feature Extraction and Corresponding Columns Information Based Dimensionality Reduction. J. Appl. Math. 2014: 898705:1-898705:10 (2014)
Coauthor Index
aka: Shu-Chao Pang
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