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Chengkun Wang
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2020 – today
- 2025
- [j4]Chengkun Wang, Wenzhao Zheng, Xian Sun, Jie Zhou, Jiwen Lu:
Probabilistic deep metric learning for hyperspectral image classification. Pattern Recognit. 157: 110878 (2025) - [i7]Jiajun Dong, Chengkun Wang, Wenzhao Zheng, Lei Chen, Jiwen Lu, Yansong Tang:
GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting. CoRR abs/2501.15619 (2025) - 2024
- [j3]Chengkun Wang
, Wenzhao Zheng
Introspective Deep Metric Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 1964-1980 (2024) - [c11]Chengkun Wang, Haotian Ding, Maoni Zhao:
Aircraft Target Detection Algorithm for SAR Images Based on Improved YOLOv8. M2VIP 2024: 1-6 - [i6]Chengkun Wang, Wenzhao Zheng, Jie Zhou, Jiwen Lu:
GlobalMamba: Global Image Serialization for Vision Mamba. CoRR abs/2410.10316 (2024) - [i5]Chengkun Wang, Wenzhao Zheng, Yuanhui Huang, Jie Zhou, Jiwen Lu:
V2M: Visual 2-Dimensional Mamba for Image Representation Learning. CoRR abs/2410.10382 (2024) - 2023
- [c10]Chengkun Wang, Jinqiu Zhang, Jiale Yang, Kaiyue Feng:
Smoke Segmentation Method Based on Super Pixel Segmentation and Convolutional Neural Network. 6GN (2) 2023: 252-262 - [c9]Chengkun Wang, Wenzhao Zheng, Junlong Li, Jie Zhou, Jiwen Lu:
Deep Factorized Metric Learning. CVPR 2023: 7672-7682 - [c8]Chengkun Wang, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu:
OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions. ICCV 2023: 5536-5547 - [i4]Chengkun Wang, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu:
Introspective Deep Metric Learning. CoRR abs/2309.09982 (2023) - 2022
- [j2]Hao Fei, Zehua Fan, Chengkun Wang
Cotton Classification Method at the County Scale Based on Multi-Features and Random Forest Feature Selection Algorithm and Classifier. Remote. Sens. 14(4): 829 (2022) - [c7]Peng Liu, Haopeng Zhang, Lifang Yuan, Borui Zhang, Chengkun Wang:
Asynchronous Autoregressive Prediction for Satellite Anomaly Detection. VCIP 2022: 1-4 - [i3]Chengkun Wang, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu:
Introspective Deep Metric Learning. CoRR abs/2205.04449 (2022) - [i2]Chengkun Wang, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu:
OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions. CoRR abs/2210.05557 (2022) - [i1]Chengkun Wang, Wenzhao Zheng, Xian Sun, Jiwen Lu, Jie Zhou:
Probabilistic Deep Metric Learning for Hyperspectral Image Classification. CoRR abs/2211.08349 (2022) - 2021
- [c6]Wenzhao Zheng, Chengkun Wang, Jiwen Lu
Deep Compositional Metric Learning. CVPR 2021: 9320-9329
2010 – 2019
- 2019
- [c5]Chengkun Wang, Jingxuan Cai, Jiahui Gao, Jiang Wu:
Dynamic Evolution of Social Network in OHCs Based on Stochastic Actor-Based Model: A Case Study of WeChat Group. ICSH 2019: 170-176 - [c4]Jiahui Gao, Zhenyan Xiao, Jingxuan Cai, Chengkun Wang, Jiang Wu:
Perceived Usefulness of Online Health Information Sharing: A Text Mining Based Empirical Research. ICSH 2019: 302-308 - 2014
- [j1]Peijiang Yuan, Qishen Wang, Zhenyun Shi, Tianmiao Wang, Chengkun Wang, Dongdong Chen, Liheng Shen:
A micro-adjusting attitude mechanism for autonomous drilling robot end-effector. Sci. China Inf. Sci. 57(12): 1-12 (2014) - [c3]Peijiang Yuan, Qishen Wang, Tianmiao Wang, Chengkun Wang, Bo Song:
Surface normal measurement in the end effector of a drilling robot for aviation. ICRA 2014: 4481-4486 - [c2]Dongdong Chen, Peijiang Yuan, Tianmiao Wang, Qishen Wang, Chengkun Wang, Fengchao Wang:
Intelligent surface normal measurement method of end effector for the aeronautical drilling robot. MFI 2014: 1-6 - [c1]Ting Lai, Peijiang Yuan, Tianmiao Wang, Chengkun Wang, Dongdong Chen, Yong Li:
An AGV-based teaching approach on experiments of mechatronics course. ROBIO 2014: 2104-2109
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last updated on 2025-03-01 15:15 CET by the dblp team
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