Anan Du

According to our database, Anan Du authored at least 19 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PCL: Point Contrast and Labeling for Weakly Supervised Point Cloud Semantic Segmentation.

Anan Du, Tianfei Zhou, Shuchao Pang, Qiang Wu, Jian Zhang

IEEE Trans. Multim., 2024

MAFFN-SAT: 3-D Point Cloud Defense via Multiview Adaptive Feature Fusion and Smooth Adversarial Training.

Shen Zhang, Anan Du, Jue Zhang, Yiwen Gao, Shuchao Pang

IEEE Trans. Geosci. Remote. Sens., 2024

TriEn-Net: Non-parametric Representation Learning for Large-Scale Point Cloud Semantic Segmentation.

Yifei Wang, Jixiang Miao, Anan Du, Xiang Gu, Shuchao Pang

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.

Xiang Gu, Shuchao Pang, Anan Du, Yifei Wang, Jixiang Miao, Jorge Díez

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation.

Shuchao Pang, Anan Du, Mehmet A. Orgun, Yan Wang, Quan Z. Sheng, Shoujin Wang, Xiaoshui Huang, Zhenmei Yu

IEEE Trans. Cybern., November, 2023

Boosting Crater Detection via ViT-Based Feature Fusion From Near-IR Images and DEMs.

Yuqi Dai, Changbin Xue, Anan Du

IEEE Geosci. Remote. Sens. Lett., 2023

A Multimodal Adversarial Database: Towards A Comprehensive Assessment of Adversarial Attacks and Defenses on Medical Images.

Junyao Hu, Yimin He, Weiyu Zhang, Shuchao Pang, Ruhao Ma, Anan Du

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.

Anan Du, Shuchao Pang, Mehmet A. Orgun

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2021

Tumor attention networks: Better feature selection, better tumor segmentation.

Shuchao Pang, Anan Du, Mehmet A. Orgun, Yunyun Wang, Zhenmei Yu

Neural Networks, 2021

2020

Weakly supervised learning for image keypoint matching using graph convolutional networks.

Shu-Chao Pang, AnAn Du, Mehmet A. Orgun, Hechang Chen

Knowl. Based Syst., 2020

Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Images for Segmentation.

Shuchao Pang, Anan Du, Mehmet A. Orgun, Yan Wang, Quanzheng Sheng, Shoujin Wang, Xiaoshui Huang, Zhenmei Yu

CoRR, 2020

Correlation Matters: Multi-scale Fine-Grained Contextual Information Extraction for Hepatic Tumor Segmentation.

Shu-Chao Pang, AnAn Du, Zhenmei Yu, Mehmet A. Orgun

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.

Zhenmei Yu, Shuchao Pang, Anan Du, Mehmet A. Orgun, Yan Wang, Hong Lin

Proceedings of the Medical Imaging 2020: Image Processing, 2020

Exploring Long-Short-Term Context For Point Cloud Semantic Segmentation.

Anan Du, Shuchao Pang, Xiaoshui Huang, Jian Zhang, Qiang Wu

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

A novel fused convolutional neural network for biomedical image classification.

Shu-Chao Pang, AnAn Du, Mehmet A. Orgun, Zhezhou Yu

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.

Shu-Chao Pang, AnAn Du, Xiaoli He, Jorge Díez, Mehmet A. Orgun

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Kpsnet: Keypoint Detection and Feature Extraction for Point Cloud Registration.

Anan Du, Xiaoshui Huang, Jian Zhang, Lingxiang Yao, Qiang Wu

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2017

Leveraging deep preference learning for indexing and retrieval of biomedical images.

Shu-Chao Pang, Mehmet A. Orgun, AnAn Du, Zhezhou Yu

Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017

2014

Building Recognition on Subregion's Multiscale Gist Feature Extraction and Corresponding Columns Information Based Dimensionality Reduction.

Bin Li, Wei Pang, Yuhao Liu, Xiangchun Yu, AnAn Du, YeCheng Zhang, Zhezhou Yu

J. Appl. Math., 2014