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ORCIDXun Yuan 0001
Person information
- affiliation: University of Science and Technology, Hefei, China
Other persons with the same name
- Xun Yuan — disambiguation page
- Xun Yuan 0002 — Zhejiang University, China
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2020 – today
- 2020
[c10]Xun Yuan, Song Chen:
SaD-SLAM: A Visual SLAM Based on Semantic and Depth Information. IROS 2020: 4930-4935- [i1]Xun Yuan, Ke Hu, Song Chen:
Realtime CNN-based Keypoint Detector with Sobel Filter and CNN-based Descriptor Trained with Keypoint Candidates. CoRR abs/2011.02119 (2020)
2000 – 2009
- 2009
- [c9]Xun Yuan, Meng Wang, Yan Song:
Concept-Dependent Image Annotation via Existence-Based Multiple-Instance Learning. SMC 2009: 4112-4117 - 2007
- [c8]Xun Yuan, Xian-Sheng Hua, Meng Wang, Guo-Jun Qi
, Xiuqing Wu:
A Novel Multiple Instance Learning Approach for Image Retrieval Based on Adaboost Feature Selection. ICME 2007: 1491-1494 - [c7]Meng Wang, Xian-Sheng Hua, Xun Yuan, Yan Song, Li-Rong Dai:
Multi-Graph Semi-Supervised Learning for Video Semantic Feature Extraction. ICME 2007: 1978-1981 - [c6]Meng Wang, Tao Mei, Xun Yuan, Yan Song, Li-Rong Dai:
Video annotation by graph-based learning with neighborhood similarity. ACM Multimedia 2007: 325-328 - [c5]Meng Wang, Xian-Sheng Hua, Xun Yuan, Yan Song, Li-Rong Dai:
Optimizing multi-graph learning: towards a unified video annotation scheme. ACM Multimedia 2007: 862-871 - [c4]Tao Mei, Xian-Sheng Hua, Wei Lai, Linjun Yang, Zheng-Jun Zha, Yuan Liu, Zhiwei Gu, Guo-Jun Qi, Meng Wang, Jinhui Tang, Xun Yuan, Zheng Lu, Jingjing Liu:
MSRA-USTC-SJTU at TRECVID 2007: High-Level Feature Extraction and Search. TRECVID 2007 - 2006
- [c3]Xun Yuan, Wei Lai, Tao Mei, Xian-Sheng Hua, Xiuqing Wu, Shipeng Li:
Automatic Video Genre Categorization using Hierarchical SVM. ICIP 2006: 2905-2908 - [c2]Xun Yuan, Xian-Sheng Hua, Meng Wang, Xiuqing Wu:
Manifold-ranking based video concept detection on large database and feature pool. ACM Multimedia 2006: 623-626 - [c1]Meng Wang, Yan Song, Xun Yuan, HongJiang Zhang, Xian-Sheng Hua, Shipeng Li:
Automatic video annotation by semi-supervised learning with kernel density estimation. ACM Multimedia 2006: 967-976
Coauthor Index
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