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Kangwei Liu
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2020 – today
- 2024
- [j7]Shaokang Ma, Xiuhong Li, Kangwei Liu, Tianchi Qiu, Yulong Liu:
Research on Image Stitching Algorithm Based on Point-Line Consistency and Local Edge Feature Constraints. Entropy 26(1): 61 (2024) - [j6]Boyuan Li, Xiuhong Li, Songlin Li, Yuye Zhang, Kangwei Liu, Jian Ma, Dangxuan Wu:
Cross-Layer Feature Guided Multiscale Infrared Small Target Detection. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [c14]Yin Fang, Xiaozhuan Liang, Ningyu Zhang, Kangwei Liu, Rui Huang, Zhuo Chen, Xiaohui Fan, Huajun Chen:
Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models. ICLR 2024 - [c13]Boyuan Li, Xiuhong Li, Songlin Li, Yuye Zhang, Kangwei Liu:
Adaptive Feature Fusion Network for Infrared Small Target Detection. ICME 2024: 1-6 - [c12]Kangwei Liu, Xiuhong Li, Boyuan Li, Yuye Zhang, Chao Che:
Lightweight Camouflaged Object Detection Network Based on Feature Complementation and Enhancement. ICME 2024: 1-6 - [c11]Kangwei Liu, Xiaowei Yi, Xianfeng Zhao:
ProDub: Progressive Growing of Facial Dubbing Networks for Enhanced Lip Sync and Fidelity. ICME 2024: 1-6 - [c10]Tianchi Qiu, Xiuhong Li, Songlin Li, Chenyu Zhou, Kangwei Liu:
Camouflaged Object Detection using Multi-Level Feature Cross-Fusion. IJCNN 2024: 1-8 - [c9]Yuye Zhang, Xiuhong Li, Ying Zheng, Boyuan Li, Kangwei Liu, Jian Ma, Dangxuan Wu:
GPNet: Infrared Small Target Detection via Global Information Enhancement and Position Attention Guidance. IJCNN 2024: 1-8 - [c8]Ying Zheng, Xiuhong Li, Yuye Zhang, Kangwei Liu, Boyuan Li:
AIFENet: Attention-Induced Feature Enhancement Network for Infrared Small Target Detection. IJCNN 2024: 1-7 - [i3]Yixin Ou, Ningyu Zhang, Honghao Gui, Ziwen Xu, Shuofei Qiao, Yida Xue, Runnan Fang, Kangwei Liu, Lei Li, Zhen Bi, Guozhou Zheng, Huajun Chen:
EasyInstruct: An Easy-to-use Instruction Processing Framework for Large Language Models. CoRR abs/2402.03049 (2024) - 2023
- [j5]Kangwei Liu, Tianchi Qiu, Yinfeng Yu, Songlin Li, Xiuhong Li:
Edge-Guided Camouflaged Object Detection via Multi-Level Feature Integration. Sensors 23(13): 5789 (2023) - [c7]Tianchi Qiu, Xiuhong Li, Kangwei Liu, Songlin Li, Fan Chen, Chenyu Zhou:
Boundary Guided Feature Fusion Network for Camouflaged Object Detection. PRCV (9) 2023: 433-444 - [i2]Yin Fang, Xiaozhuan Liang, Ningyu Zhang, Kangwei Liu, Rui Huang, Zhuo Chen, Xiaohui Fan, Huajun Chen:
Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models. CoRR abs/2306.08018 (2023) - [i1]Peng Wang, Ningyu Zhang, Bozhong Tian, Zekun Xi, Yunzhi Yao, Ziwen Xu, Mengru Wang, Shengyu Mao, Xiaohan Wang, Siyuan Cheng, Kangwei Liu, Yuansheng Ni, Guozhou Zheng, Huajun Chen:
EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models. CoRR abs/2308.07269 (2023) - 2022
- [j4]Yaogang Wu, Kangwei Liu, Dinghe Li, Xing Shen, Pengcheng Lu:
Numerical and Experimental Research on Non-Reference Damage Localization Based on the Improved Two-Arrival-Time Difference Method. Sensors 22(21): 8432 (2022) - 2021
- [j3]Jun Zhang, Feiteng Han, Yutong Chun, Kangwei Liu, Wang Chen:
Detecting Objects from No-Object Regions: A Context-Based Data Augmentation for Object Detection. Int. J. Comput. Intell. Syst. 14(1): 1871-1879 (2021)
2010 – 2019
- 2017
- [j2]Kangwei Liu, Junge Zhang, Peipei Yang, Stephen J. Maybank, Kaiqi Huang:
GRMA: Generalized Range Move Algorithms for the Efficient Optimization of MRFs. Int. J. Comput. Vis. 121(3): 365-390 (2017) - [c6]Rongliang Cheng, Junge Zhang, Peipei Yang, Kangwei Liu, Shujun Zhang:
CNet: Context-Aware Network for Semantic Segmentation. ACPR 2017: 67-72 - 2016
- [c5]Kangwei Liu, Junge Zhang, Peipei Yang, Kaiqi Huang:
FastLCD: Fast Label Coordinate Descent for the Efficient Optimization of 2D Label MRFs. IJCAI 2016: 624-630 - 2015
- [c4]Kangwei Liu, Junge Zhang, Peipei Yang, Kaiqi Huang:
GRSA: Generalized range swap algorithm for the efficient optimization of MRFs. CVPR 2015: 1761-1769 - 2014
- [c3]Kangwei Liu, Junge Zhang, Kaiqi Huang, Tieniu Tan:
Deformable Object Matching via Deformation Decomposition Based 2D Label MRF. CVPR 2014: 2321-2328 - [c2]Kangwei Liu, Junge Zhang, Kaiqi Huang:
Improved Optimization Based on Graph Cuts for Discrete Energy Minimization. ICPR 2014: 2424-2429 - 2011
- [j1]Cunhe Li, Kangwei Liu, Hongxia Wang:
The incremental learning algorithm with support vector machine based on hyperplane-distance. Appl. Intell. 34(1): 19-27 (2011)
2000 – 2009
- 2008
- [c1]Cunhe Li, Lina Zhu, Kangwei Liu:
A New Approach of Feature Selection for Chinese Web Page Categorization. ISICA 2008: 386-395
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