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ORCIDHongshan Yu
- > Home > Persons > Hongshan Yu
Publications
- 2025
[j34]Yong He
, Hongshan Yu, Xiaoyan Liu, Zhengeng Yang, Wei Sun, Saeed Anwar, Ajmal Mian:
Deep learning based 3D segmentation in computer vision: A survey. Inf. Fusion 115: 102722 (2025)- [j33]Zhengeng Yang, Hongshan Yu, Jianjun Zhang, Qiang Tang, Ajmal Mian:
Deep learning based infrared small object segmentation: Challenges and future directions. Inf. Fusion 118: 103007 (2025) - [j29]Mingtao Feng, Haoran Hou, Liang Zhang, Yulan Guo, Hongshan Yu, Yaonan Wang, Ajmal Mian:
Exploring Hierarchical Spatial Layout Cues for 3D Point Cloud Based Scene Graph Prediction. IEEE Trans. Multim. 27: 731-743 (2025) - [j28]Yong He, Hongshan Yu, Zhengeng Yang, Xiaoyan Liu, Wei Sun, Ajmal Mian:
Full Point Encoding for Local Feature Aggregation in 3-D Point Clouds. IEEE Trans. Neural Networks Learn. Syst. 36(5): 8867-8881 (2025) - [i17]Zhengeng Yang, Hongshan Yu, Jianjun Zhang, Qiang Tang, Ajmal Mian:
Deep learning based infrared small object segmentation: Challenges and future directions. CoRR abs/2502.14168 (2025) - [i16]Yong He, Hongshan Yu, Mingtao Feng, Tom Tongjia Chen, Zechuan Li, Anwaar Ulhaq, Saeed Anwar, Ajmal Saeed Mian:
PointDiffuse: A Dual-Conditional Diffusion Model for Enhanced Point Cloud Semantic Segmentation. CoRR abs/2503.06094 (2025) - 2024
- [j27]Kan Luo, Hongshan Yu, Xieyuanli Chen, Zhengeng Yang, Jingwen Wang, Panfei Cheng, Ajmal Mian:
3D point cloud-based place recognition: a survey. Artif. Intell. Rev. 57(4): 83 (2024) - [j21]Zhengeng Yang, Hongshan Yu, Wei Sun, Li Cheng, Ajmal Mian:
Domain-Invariant Prototypes for Semantic Segmentation. IEEE Trans. Circuits Syst. Video Technol. 34(8): 7614-7627 (2024) - [j19]Zhengeng Yang, Hongshan Yu, Yong He, Wei Sun, Zhi-Hong Mao, Ajmal Mian:
Fully Convolutional Network-Based Self-Supervised Learning for Semantic Segmentation. IEEE Trans. Neural Networks Learn. Syst. 35(1): 132-142 (2024) - [i14]Yong He, Hongshan Yu, Muhammad Ibrahim, Xiaoyan Liu, Tom Tongjia Chen, Anwaar Ulhaq, Ajmal Mian:
Soft Masked Transformer for Point Cloud Processing with Skip Attention-Based Upsampling. CoRR abs/2403.14124 (2024) - 2023
- [j18]Yong He, Hongshan Yu, Zhengeng Yang, Wei Sun, Mingtao Feng, Ajmal Mian:
DANet: Density Adaptive Convolutional Network With Interactive Attention for 3D Point Clouds. IEEE Robotics Autom. Lett. 8(9): 5496-5503 (2023) - [i12]Yong He, Hongshan Yu, Zhengeng Yang, Xiaoyan Liu, Wei Sun, Ajmal Mian:
Full Point Encoding for Local Feature Aggregation in 3D Point Clouds. CoRR abs/2303.04458 (2023) - [i11]Yong He, Hongshan Yu, Zhengeng Yang, Wei Sun, Mingtao Feng, Ajmal Mian:
DANet: Density Adaptive Convolutional Network with Interactive Attention for 3D Point Clouds. CoRR abs/2303.04473 (2023) - 2022
- [j17]Qiang Fu, Hongshan Yu, Xiaolong Wang, Zhengeng Yang, Yong He, Hong Zhang, Ajmal Mian:
Fast ORB-SLAM Without Keypoint Descriptors. IEEE Trans. Image Process. 31: 1433-1446 (2022) - [c6]Mingtao Feng, Kendong Liu, Liang Zhang, Hongshan Yu, Yaonan Wang, Ajmal Mian:
Learning from Pixel-Level Noisy Label : A New Perspective for Light Field Saliency Detection. CVPR 2022: 1746-1756 - [i7]Mingtao Feng, Kendong Liu, Liang Zhang, Hongshan Yu, Yaonan Wang, Ajmal Mian:
Learning from Pixel-Level Noisy Label : A New Perspective for Light Field Saliency Detection. CoRR abs/2204.13456 (2022) - [i6]Zhengeng Yang, Hongshan Yu, Wei Sun, Li Cheng, Ajmal Mian:
Domain-invariant Prototypes for Semantic Segmentation. CoRR abs/2208.06087 (2022) - 2021
- [i5]Yong He, Hongshan Yu, Xiaoyan Liu, Zhengeng Yang, Wei Sun, Yaonan Wang, Qiang Fu, Yanmei Zou, Ajmal Mian:
Deep Learning based 3D Segmentation: A Survey. CoRR abs/2103.05423 (2021) - 2020
- [j12]Zhengeng Yang, Hongshan Yu, Mingtao Feng, Wei Sun, Xuefei Lin, Mingui Sun, Zhi-Hong Mao, Ajmal Mian:
Small Object Augmentation of Urban Scenes for Real-Time Semantic Segmentation. IEEE Trans. Image Process. 29: 5175-5190 (2020) - [i4]Qiang Fu, Hongshan Yu, Xiaolong Wang, Zhengeng Yang, Hong Zhang, Ajmal Mian:
FastORB-SLAM: a Fast ORB-SLAM Method with Coarse-to-Fine Descriptor Independent Keypoint Matching. CoRR abs/2008.09870 (2020) - [i2]Zhengeng Yang, Hongshan Yu, Yong He, Zhi-Hong Mao, Ajmal Mian:
Self-supervised Learning with Fully Convolutional Networks. CoRR abs/2012.10017 (2020)
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