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Shuoyan Liu
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2020 – today
- 2024
- [j18]Yuxin Liu, Mingzhe Wang, Chao Li, Shuoyan Liu:
ALFormer: Attribute localization transformer in pedestrian attribute recognition. Comput. Sci. Inf. Syst. 21(4): 1567-1582 (2024) - [j17]Shuoyan Liu, Chao Li, Yuxin Liu, Yanqiu Wang:
SH-YOLO: Small Target High Performance YOLO for Abnormal Behavior Detection in Escalator Scene. IEICE Trans. Inf. Syst. 107(11): 1468-1471 (2024) - 2023
- [j16]Gengyu Lyu
, Songhe Feng
Redundant Label Learning via Subspace Representation and Global Disambiguation. ACM Trans. Intell. Syst. Technol. 14(1): 15:1-15:19 (2023) - 2022
- [j15]Shuoyan Liu, Enze Yang, Yuxin Liu
DMA-Net: Dual multi-instance attention network for X-ray image classification. IET Image Process. 16(13): 3518-3528 (2022) - [c4]Tianfang Ma, Shuoyan Liu
On Data Annotation Efficiency for Image Based Crowd Counting. VCIP 2022: 1-5 - 2021
- [j14]Shuoyan Liu, Enze Yang, Kai Fang:
Self-Learning pLSA Model for Abnormal Behavior Detection in Crowded Scenes. IEICE Trans. Inf. Syst. 104-D(3): 473-476 (2021) - [j13]Enze Yang, Shuoyan Liu, Yuxin Liu, Kai Fang:
PSTNet: Crowd Flow Prediction by Pyramidal Spatio-Temporal Network. IEICE Trans. Inf. Syst. 104-D(10): 1780-1783 (2021) - [c3]Kai Fang, Enze Yang, Yuxin Liu, Shuoyan Liu:
Hetero-STAN: Crowd Flow Prediction by Heterogeneous Spatio-Temporal Attention Network. ICIG (2) 2021: 30-41 - [c2]Dong Chen, Kai Fang, Shuoyan Liu:
Identifying Abnormal Map in Crowd Scenes Using Spatio-Temporal Social Force Model. ICIG (1) 2021: 591-600
2010 – 2019
- 2017
- [j12]Kai Fang, Shuoyan Liu, Chunjie Xu, Hao Xue:
Adaptive Updating Probabilistic Model for Visual Tracking. IEICE Trans. Inf. Syst. 100-D(4): 914-917 (2017) - 2015
- [j11]Kai Fang, Shuoyan Liu:
Face Verification Based on the Age Progression Rules. IEICE Trans. Inf. Syst. 98-D(5): 1112-1115 (2015) - [j10]Shuoyan Liu, Kai Fang:
Common and Adapted Vocabularies for Face Verification. IEICE Trans. Inf. Syst. 98-D(12): 2337-2340 (2015) - [c1]Shuoyan Liu, Kai Fang, Li Jiang:
A novel template matching algorithm based on the contextual semantic information. ICIA 2015: 437-441 - 2011
- [j9]Shuoyan Liu, De Xu, Songhe Feng:
Region Contextual Visual Words for scene categorization. Expert Syst. Appl. 38(9): 11591-11597 (2011) - [j8]Xu Yang, De Xu, Songhe Feng, Yingjun Tang, Shuoyan Liu:
Scene Categorization with Classified Codebook Model. IEICE Trans. Inf. Syst. 94-D(6): 1349-1352 (2011) - [j7]Hong Bao
A Novel Saliency-Based Graph Learning Framework with Application to CBIR. IEICE Trans. Inf. Syst. 94-D(6): 1353-1356 (2011) - 2010
- [j6]Wenjie Xie, De Xu, Shuoyan Liu, Yingjun Tang:
How the Number of Interest Points Affect Scene Classification. IEICE Trans. Inf. Syst. 93-D(4): 930-933 (2010) - [j5]Shuoyan Liu, De Xu, Songhe Feng:
Discriminating Semantic Visual Words for Scene Classification. IEICE Trans. Inf. Syst. 93-D(6): 1580-1588 (2010) - [j4]Gile Narcisse Fanzou Tchuissang, Ning Wang
Predicting DataSpace Retrieval Using Probabilistic Hidden Information. IEICE Trans. Inf. Syst. 93-D(7): 1991-1994 (2010)
2000 – 2009
- 2009
- [j3]Yingjun Tang, De Xu, Guanghua Gu, Shuoyan Liu:
Category Constrained Learning Model for Scene Classification. IEICE Trans. Inf. Syst. 92-D(2): 357-360 (2009) - [j2]Congyan Lang, De Xu, Shuoyan Liu, Ning Li:
Adaptive Non-linear Intensity Mapping Based Salient Region Extraction. IEICE Trans. Inf. Syst. 92-D(4): 753-756 (2009) - 2008
- [j1]Shuoyan Liu, De Xu, Xu Yang:
Adaptively Combining Local with Global Information for Natural Scenes Categorization. IEICE Trans. Inf. Syst. 91-D(7): 2087-2090 (2008)
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