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Hanlin Tan
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2020 – today
- 2024
- [j9]Jingyi Wang
, Yu Liu, Hanlin Tan, Maojun Zhang:
A survey on weakly supervised 3D point cloud semantic segmentation. IET Comput. Vis. 18(3): 329-342 (2024) - [j8]Hanlin Tan
, Yu Liu, Maojun Zhang:
Noise2Variance: Dual networks with variance constraint for self-supervised real-world image denoising. IET Image Process. 18(12): 3251-3261 (2024) - [j7]Jingyi Wang
, Jingyang He
, Yu Liu, Chen Chen, Maojun Zhang
, Hanlin Tan
:
Multi-Scale Classification and Contrastive Regularization: Weakly Supervised Large-Scale 3D Point Cloud Semantic Segmentation. Remote. Sens. 16(17): 3319 (2024) - 2022
- [j6]Shen Yan, Maojun Zhang
, Yang Peng, Yu Liu, Hanlin Tan
:
AgentI2P: Optimizing Image-to-Point Cloud Registration via Behaviour Cloning and Reinforcement Learning. Remote. Sens. 14(24): 6301 (2022) - 2021
- [j5]Chen Chen, Maojun Zhang, Hanlin Tan, Huaxin Xiao:
Co-Head Pedestrian Detection in Crowded Scenes. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 104-A(10): 1440-1444 (2021) - [c9]Chen Chen
, Maojun Zhang
, Yang Peng, Hanlin Tan
, Huaxin Xiao
:
Extremely Tiny Face Detector for Platforms with Limited Resources. ICIG (2) 2021: 362-373 - [c8]Huaxin Xiao, Yang Peng, Hanlin Tan, Ping Li:
Dynamic Cross Fusion Network for Building-Based Damage Assessment. ICME 2021: 1-6 - 2020
- [j4]Hanlin Tan
, Huaxin Xiao
, Xiaoyu Zhang
, Bin Dai
, Shiming Lai
, Yu Liu
, Maojun Zhang
:
MSBA: Multiple Scales, Branches and Attention Network With Bag of Tricks for Person Re-Identification. IEEE Access 8: 63632-63642 (2020) - [j3]Yu Liu, Huaxin Xiao, Hanlin Tan, Ping Li:
Are RGB-based salient object detection methods unsuitable for light field data? EURASIP J. Image Video Process. 2020(1): 49 (2020) - [j2]Hanlin Tan
, Huaxin Xiao, Shiming Lai, Yu Liu, Maojun Zhang:
Denoising real bursts with squeeze-and-excitation residual network. IET Image Process. 14(13): 3095-3104 (2020)
2010 – 2019
- 2019
- [j1]Hanlin Tan
, Huaxin Xiao
, Shiming Lai
, Yu Liu, Maojun Zhang:
Pixelwise Estimation of Signal-Dependent Image Noise Using Deep Residual Learning. Comput. Intell. Neurosci. 2019: 4970508:1-4970508:12 (2019) - 2018
- [c7]Jingbei Li, Yu Liu, Huaxin Xiao, Hanlin Tan, Maojun Zhang:
Wiener Loss: A Strong Correlative Loss Applied to Conditional GAN for Color Prediction. AIVR 2018: 61-66 - [c6]Zheng Zhang, Yu Liu, Hanlin Tan, Xiaoqing Yi, Maojun Zhang:
No-Reference Image Sharpness Assessment Using Scale and Directional Models. ICME 2018: 1-6 - 2017
- [c5]Hanlin Tan, Xiangrong Zeng, Shiming Lai, Yu Liu, Maojun Zhang:
Joint demosaicing and denoising of noisy bayer images with ADMM. ICIP 2017: 2951-2955 - 2016
- [c4]Hanlin Tan, Yongping Zhai, Yu Liu, Maojun Zhang:
Fast anomaly detection in traffic surveillance video based on robust sparse optical flow. ICASSP 2016: 1976-1980 - [c3]Ziyin Wang, Hanlin Tan, Zheng Zhang, Maojun Zhang:
DCT-block Difference based Noise Estimation using an Iterative Framework. ICSPS 2016: 94-99 - 2014
- [c2]Hanlin Tan, Lidong Chen:
An approach for fast and parallel video processing on Apache Hadoop clusters. ICME 2014: 1-6 - [c1]Yawei Zhao, Honghui Chen, Jia Xu, Hanlin Tan, Tao Chen
:
Mirror Data to the Ceiling: A New Completely Wireless Data Center. ICoC 2014: 32-45
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