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2020 – today
- 2024
[j39]Zhenzhen Sun
, Hao Xie, Jinghua Liu, Yuanlong Yu:
Multi-label feature selection via adaptive dual-graph optimization. Expert Syst. Appl. 243: 122884 (2024)- [j38]Zhishu Sun, Luojun Lin, Yuanlong Yu, Lianwen Jin:
Learning feature alignment across attribute domains for improving facial beauty prediction. Expert Syst. Appl. 249: 123644 (2024) - [j37]Hongjian Xu, Longlong Liao, Xinqi Liu, Shuguang Chen, Jianguo Chen, Zhixuan Liang, Yuanlong Yu:
Fault-tolerant deep learning inference on CPU-GPU integrated edge devices with TEEs. Future Gener. Comput. Syst. 161: 404-414 (2024) - [j36]Zhishu Sun, Zilong Xiao, Yuanlong Yu, Luojun Lin:
Dynamic Attentive Convolution for Facial Beauty Prediction. IEICE Trans. Inf. Syst. 107(2): 239-243 (2024) - [j35]Zhishu Sun, Luojun Lin, Yuanlong Yu:
You only label once: A self-adaptive clustering-based method for source-free active domain adaptation. IET Image Process. 18(5): 1268-1282 (2024) - [j34]Wenxi Liu, Qi Li, Xindai Lin, Weixiang Yang, Shengfeng He, Yuanlong Yu:
Ultra-High Resolution Image Segmentation via Locality-Aware Context Fusion and Alternating Local Enhancement. Int. J. Comput. Vis. 132(11): 5030-5047 (2024) - [j33]Shoujie Lan, Qinghai Zheng, Yuanlong Yu:
Double-level View-correlation Multi-view Subspace Clustering. Knowl. Based Syst. 284: 111271 (2024) - [j32]Zhenzhen Sun, Zexiang Chen, Jinghua Liu, Yewang Chen, Yuanlong Yu:
Partial multi-label feature selection via low-rank and sparse factorization with manifold learning. Knowl. Based Syst. 296: 111899 (2024) - [j31]Wenxi Liu, Qi Li, Weixiang Yang, Jiaxin Cai, Yuanlong Yu, Yuexin Ma, Shengfeng He, Jia Pan:
Monocular BEV Perception of Road Scenes via Front-to-Top View Projection. IEEE Trans. Pattern Anal. Mach. Intell. 46(9): 6109-6125 (2024) - [j30]Luojun Lin, Han Xie, Zhishu Sun, Weijie Chen, Wenxi Liu, Yuanlong Yu, Lei Zhang:
Semi-supervised domain generalization with evolving intermediate domain. Pattern Recognit. 149: 110280 (2024) - [j29]Wenxi Liu, Yuhao Lin, Qi Li, Yinhua She, Yuanlong Yu, Jia Pan, Jason Gu:
Prototype learning based generic multiple object tracking via point-to-box supervision. Pattern Recognit. 154: 110588 (2024) - [j28]Qi Li, Jiaxin Cai, Jiexin Luo, Yuanlong Yu, Jason Gu, Jia Pan, Wenxi Liu:
Memory-Constrained Semantic Segmentation for Ultra-High Resolution UAV Imagery. IEEE Robotics Autom. Lett. 9(2): 1708-1715 (2024) - [j27]Jinhui Chen, Qifeng Lin, Haibin Huang, Yuanlong Yu, Daoye Zhu, Gang Fu:
HVConv: Horizontal and Vertical Convolution for Remote Sensing Object Detection. Remote. Sens. 16(11): 1880 (2024) - [j26]Wenxi Liu, Jiaxin Cai, Qi Li, Chenyang Liao, Jingjing Cao, Shengfeng He, Yuanlong Yu:
Learning Nighttime Semantic Segmentation the Hard Way. ACM Trans. Multim. Comput. Commun. Appl. 20(7): 213:1-213:23 (2024) - [j25]Hong-Yu Yao, Yuanlong Yu, Chun-Yang Zhang, Yue-Na Lin, Shang-Jia Li:
Fuzzy Representation Learning on Dynamic Graphs. IEEE Trans. Syst. Man Cybern. Syst. 54(2): 878-890 (2024) - [c63]Binqiang Huang, Zhijie Huang, Shoujie Lan, Qinghai Zheng, Yuanlong Yu:
Incomplete Multi-View Clustering Via Inference and Evaluation. ICASSP 2024: 8180-8184 - 2023
- [j24]Zhenzhen Sun, Hao Xie, Jinghua Liu, Jin Gou, Yuanlong Yu:
Dual-graph with non-convex sparse regularization for multi-label feature selection. Appl. Intell. 53(18): 21227-21247 (2023) - [j23]Weijie Jiang, Yuanlong Yu:
Out-of-distribution detection based on multi-classifiers. Cogn. Comput. Syst. 5(2): 95-108 (2023) - [j22]Yuxiang Cai, Yuanlong Yu, Weijie Jiang, Rong Chen, Weitao Zheng, Xi Wu, Renjie Su:
A novel decoder based on Bayesian rules for task-driven object segmentation. IET Image Process. 17(3): 832-848 (2023) - [c62]Qipeng Liu, Luojun Lin, Zhifeng Shen, Yuanlong Yu:
FBPFormer: Dynamic Convolutional Transformer for Global-Local-Contexual Facial Beauty Prediction. ICANN (10) 2023: 223-235 - [c61]Xijin Xie, Longlong Liao, Yuanlong Yu, Di Guo, Huaping Liu:
Universal Adversarial Attacks for Visual Odometry Systems. ICDL 2023: 288-293 - [c60]Han Guo, Yuanlong Yu, Yujie Wang, Xuelin Chen, Yixin Zhuang:
Learning High Frequency Surface Functions In Shells. ICME 2023: 618-623 - [c59]Luojun Lin, Zhifeng Yang, Qipeng Liu, Yuanlong Yu, Qifeng Lin:
Run and Chase: Towards Accurate Source-Free Domain Adaptive Object Detection. ICME 2023: 2453-2458 - [c58]Boyuan Du, Yuanlong Yu, Huaping Liu:
Deep Inversion Method for Attacking Lifelong Learning Neural Networks. IJCNN 2023: 1-9 - [c57]Luojun Lin, Zhifeng Shen, Jia-Li Yin, Qipeng Liu, Yuanlong Yu, Weijie Chen:
MetaFBP: Learning to Learn High-Order Predictor for Personalized Facial Beauty Prediction. ACM Multimedia 2023: 6072-6080 - [c56]Luojun Lin, Zhifeng Shen, Zhishu Sun, Yuanlong Yu, Lei Zhang, Weijie Chen:
Parameter Exchange for Robust Dynamic Domain Generalization. ACM Multimedia 2023: 7354-7362 - [c55]Qifeng Lin, Luojun Lin, Yuanlong Yu, Gang Fu:
A Multiple Prediction Mechanisms Ensemble for Complex Remote Sensing Scenes. ACM Multimedia 2023: 8635-8643 - [e1]Fuchun Sun, Angelo Cangelosi, Jianwei Zhang, Yuanlong Yu, Huaping Liu, Bin Fang:
Cognitive Systems and Information Processing - 7th International Conference, ICCSIP 2022, Fuzhou, China, December 17-18, 2022, Revised Selected Papers. Communications in Computer and Information Science 1787, Springer 2023, ISBN 978-981-99-0616-1 [contents] - [i14]Qi Li, Jiaxin Cai, Yuanlong Yu, Jason Gu, Jia Pan, Wenxi Liu:
Memory-Constrained Semantic Segmentation for Ultra-High Resolution UAV Imagery. CoRR abs/2310.04721 (2023) - [i13]Luojun Lin, Zhifeng Shen, Zhishu Sun, Yuanlong Yu, Lei Zhang, Weijie Chen:
Parameter Exchange for Robust Dynamic Domain Generalization. CoRR abs/2311.13928 (2023) - [i12]Luojun Lin, Zhifeng Shen, Jia-Li Yin, Qipeng Liu, Yuanlong Yu, Weijie Chen:
MetaFBP: Learning to Learn High-Order Predictor for Personalized Facial Beauty Prediction. CoRR abs/2311.13929 (2023) - 2022
- [j21]Weijie Jiang, Yuanlong Yu:
Semantic enhanced for out-of-distribution detection. Frontiers Neurorobotics 16 (2022) - [j20]Zhenzhen Sun, Yuanlong Yu:
Robust multi-class feature selection via l2, 0-norm regularization minimization. Intell. Data Anal. 26(1): 57-73 (2022) - [c54]Zhishu Sun, Zhifeng Shen, Luojun Lin, Yuanlong Yu, Zhifeng Yang, Shicai Yang, Weijie Chen:
Dynamic Domain Generalization. IJCAI 2022: 1342-1348 - [i11]Zhishu Sun, Zhifeng Shen, Luojun Lin, Yuanlong Yu, Zhifeng Yang, Shicai Yang, Weijie Chen:
Dynamic Domain Generalization. CoRR abs/2205.13913 (2022) - [i10]Wenxi Liu, Qi Li, Weixiang Yang, Jiaxin Cai, Yuanlong Yu, Yuexin Ma, Shengfeng He, Jia Pan:
Monocular BEV Perception of Road Scenes via Front-to-Top View Projection. CoRR abs/2211.08144 (2022) - 2021
- [j19]Zhenzhen Sun, Yuanlong Yu:
Fast Approximation for Sparse Coding with Applications to Object Recognition. Sensors 21(4): 1442 (2021) - [c53]Weixiang Yang, Qi Li, Wenxi Liu, Yuanlong Yu, Yuexin Ma, Shengfeng He, Jia Pan:
Projecting Your View Attentively: Monocular Road Scene Layout Estimation via Cross-View Transformation. CVPR 2021: 15536-15545 - [c52]Shumei Zeng, Yuanlong Yu, Zhenzhen Sun:
Multi-class Feature Selection Based on Softmax with L2, 0-Norm Regularization. ICCSIP 2021: 37-48 - [c51]Luxin Lin, Wenxi Liu, Yuanlong Yu:
Dynamic Network Pruning Based on Local Channel-Wise Relevance. ICCSIP 2021: 49-60 - [c50]Quanming Wu, Yuanlong Yu, Tao Luo, Peiyuan Lu:
GridPointNet: Grid and Point-Based 3D Object Detection from Point Cloud. ICCSIP 2021: 191-199 - [c49]Yuxiang Cai, Xi Wu, Zhiyong Huang, Yuanlong Yu, Weijie Jiang, Weitao Zheng, Renjie Su:
DGrid: Dense Grid Network for Salient Object Detection. ICCSIP 2021: 238-246 - [c48]Qi Li, Weixiang Yang, Wenxi Liu, Yuanlong Yu, Shengfeng He:
From Contexts to Locality: Ultra-high Resolution Image Segmentation via Locality-aware Contextual Correlation. ICCV 2021: 7232-7241 - [c47]Zhenzhen Liang, Qixin Wang, Yuanlong Yu:
Deep Unsupervised Learning Based Visual Odometry with Multi-scale Matching and Latent Feature Constraint. IROS 2021: 2239-2246 - [c46]Cong Yang, Housen Xie, Haihong Tian, Yuanlong Yu:
Dynamic Domain Adaptation for Single-view 3D Reconstruction. IROS 2021: 3563-3570 - [i9]Qi Li, Weixiang Yang, Wenxi Liu, Yuanlong Yu, Shengfeng He:
From Contexts to Locality: Ultra-high Resolution Image Segmentation via Locality-aware Contextual Correlation. CoRR abs/2109.02580 (2021) - [i8]Luojun Lin, Han Xie, Zhifeng Yang, Zhishu Sun, Wenxi Liu, Yuanlong Yu, Weijie Chen, Shicai Yang, Di Xie:
Semi-Supervised Domain Generalization in Real World: New Benchmark and Strong Baseline. CoRR abs/2111.10221 (2021) - 2020
- [c45]You Huang, Yuanlong Yu:
An Internal Covariate Shift Bounding Algorithm for Deep Neural Networks by Unitizing Layers' Outputs. CVPR 2020: 8462-8470 - [i7]You Huang, Yuanlong Yu:
An Internal Covariate Shift Bounding Algorithm for Deep Neural Networks by Unitizing Layers' Outputs. CoRR abs/2001.02814 (2020) - [i6]Zhenzhen Sun, Yuanlong Yu:
Robust Multi-class Feature Selection via l2, 0-Norm Regularization Minimization. CoRR abs/2010.03728 (2020) - [i5]Zhenzhen Sun, Yuanlong Yu:
Nonnegative Spectral Analysis with Adaptive Graph and L2, 0-Norm Regularization for Unsupervised Feature Selection. CoRR abs/2010.05454 (2020) - [i4]Zhenzhen Sun, Yuanlong Yu:
A Homotopy Coordinate Descent Optimization Method for l0-Norm Regularized Least Square Problem. CoRR abs/2011.06841 (2020)
2010 – 2019
- 2019
- [j18]Zhiyong Huang, Yuanlong Yu, Miaoxing Xu:
Bidirectional Tracking Scheme for Visual Object Tracking Based on Recursive Orthogonal Least Squares. IEEE Access 7: 159199-159213 (2019) - [j17]Wenxi Liu, Yibing Song, Dengsheng Chen, Shengfeng He, Yuanlong Yu, Tao Yan, Gerhard P. Hancke, Rynson W. H. Lau:
Deformable Object Tracking With Gated Fusion. IEEE Trans. Image Process. 28(8): 3766-3777 (2019) - [c44]Feigege Wang, Yue Gu, Wenxi Liu, Yuanlong Yu, Shengfeng He, Jia Pan:
Context-Aware Spatio-Recurrent Curvilinear Structure Segmentation. CVPR 2019: 12648-12657 - [c43]Xiaosheng Yan, Yuanlong Yu, Feigege Wang, Wenxi Liu, Shengfeng He, Jia Pan:
Visualizing the Invisible: Occluded Vehicle Segmentation and Recovery. ICCV 2019: 7617-7626 - [c42]Yuanlong Yu, Hongxiang Xue, Zhenzhen Liang:
A novel tactile sensor based on structured light. ROBIO 2019: 229-234 - [c41]Zhenzhen Liang, Yuanlong Yu, Hongxiang Xue:
A Structured Light Encoding Method for M-array Technique. ROBIO 2019: 415-421 - [c40]Rong Chen, Zhiyong Huang, Yuanlong Yu:
AM2FNet: Attention-based Multiscale & Multi-modality Fused Network. ROBIO 2019: 1192-1197 - [c39]Dengsheng Chen, Yuanlong Yu, Zhiyong Huang:
Online memory learning for active object recognition. ROBIO 2019: 2914-2919 - [c38]Zhiwei Liu, Yuanlong Yu, Zhenzhen Sun:
A Hidden Feature Selection Method based on l2, 0-Norm Regularization for Training Single-hidden-layer Neural Networks. SSCI 2019: 1810-1817 - [i3]Dengsheng Chen, Wenxi Liu, You Huang, Tong Tong, Yuanlong Yu:
Enhancement Mask for Hippocampus Detection and Segmentation. CoRR abs/1902.04244 (2019) - [i2]Xiaosheng Yan, Yuanlong Yu, Feigege Wang, Wenxi Liu, Shengfeng He, Jia Pan:
Visualizing the Invisible: Occluded Vehicle Segmentation and Recovery. CoRR abs/1907.09381 (2019) - 2018
- [j16]Wenxing Zhu, Zhengshan Dong, Yuanlong Yu, Jianli Chen:
Lagrange Dual Method for Sparsity Constrained Optimization. IEEE Access 6: 28404-28416 (2018) - [j15]Yuanlong Yu, Zhenzhen Sun, Wenxing Zhu, Jason Gu:
A Homotopy Iterative Hard Thresholding Algorithm With Extreme Learning Machine for Scene Recognition. IEEE Access 6: 30424-30436 (2018) - [j14]Yuanlong Yu, Zhifan Ye, Xianghan Zheng, Chunming Rong:
An efficient cascaded method for network intrusion detection based on extreme learning machines. J. Supercomput. 74(11): 5797-5812 (2018) - [c37]Miaoxing Xu, Yuanlong Yu:
Two-Stage Weighted Regularized Extreme Learning Machine for Class Imbalanced Learning. ICCSIP (1) 2018: 358-369 - [c36]Min Lin, Yuanlong Yu:
Kernel-based Nonlinear Observation Method For Sparse Coding. ICIA 2018: 94-98 - [c35]You Huang, Yuanlong Yu:
Distilling deep neural networks with reinforcement learning. ICIA 2018: 133-138 - [c34]Zhishu Sun, Yuanlong Yu:
A Sparse Dictionary Learning Algorithm with BB Method. ICIA 2018: 139-143 - [c33]Dengsheng Chen, Wenxi Liu, You Huang, Tong Tong, Yuanlong Yu:
Enhancement Mask for Hippocampus Detection and Segmentation. ICIA 2018: 455-460 - [c32]Zhiwei Liu, Yuanlong Yu:
An Autonomous Selection Method for Spatial Pooling Based on Chi-Square Test. ICIA 2018: 580-585 - [c31]Yiyi Yang, Yuanlong Yu, Zhiyong Huang:
Traffic Sign Detection using Deep Random Mapping Autoencoder Network. ICIA 2018: 911-916 - [i1]Wenxi Liu, Yibing Song, Dengsheng Chen, Yuanlong Yu, Shengfeng He, Rynson W. H. Lau:
Deformable Object Tracking with Gated Fusion. CoRR abs/1809.10417 (2018) - 2017
- [j13]Fangfang Luo, Wenzhong Guo, Yuanlong Yu, Guolong Chen:
A multi-label classification algorithm based on kernel extreme learning machine. Neurocomputing 260: 313-320 (2017) - [j12]Yuanlong Yu, Zhenzhen Sun:
Sparse coding extreme learning machine for classification. Neurocomputing 261: 50-56 (2017) - [j11]Huaping Liu, Yuanlong Yu, Fuchun Sun, Jason Gu:
Visual-Tactile Fusion for Object Recognition. IEEE Trans Autom. Sci. Eng. 14(2): 996-1008 (2017) - [j10]Zhiyong Huang, Yuanlong Yu, Jason Gu, Huaping Liu:
An Efficient Method for Traffic Sign Recognition Based on Extreme Learning Machine. IEEE Trans. Cybern. 47(4): 920-933 (2017) - [c30]Yuanlong Yu, Jiamin Lin:
M-Weighted extreme learning machine for imbalanced learning. ICIA 2017: 242-247 - [c29]Yuan Tian, Yuanlong Yu:
A new pruning algorithm for extreme learning machine. ICIA 2017: 704-709 - [c28]Yu Lin, Yuanlong Yu:
Video attention using multiple temporal scales coding reconstruction. ICSAI 2017: 1324-1329 - [c27]Xiang Wei, Fuchun Sun, Yuanlong Yu, Chunfang Liu, Bin Fang, Mingxuan Jing:
Robotic skills learning based on dynamical movement primitives using a wearable device. ROBIO 2017: 756-761 - 2016
- [j9]Xianghan Zheng, Xueying Zhang, Yuanlong Yu, M. Tahar Kechadi, Chunming Rong:
ELM-based spammer detection in social networks. J. Supercomput. 72(8): 2991-3005 (2016) - [c26]Yu Chen, Yuanlong Yu, Ting Li:
A vision based traffic accident detection method using extreme learning machine. ICARM 2016: 567-572 - [c25]Lingying Wu, Yuanlong Yu, Jason Gu:
A scene recognition method using sparse features with layout-sensitive pooling and extreme learning machine. ICIA 2016: 178-183 - [c24]Yuanlong Yu, Zhenzhen Sun:
A pruning algorithm for extreme learning machine based on sparse coding. IJCNN 2016: 2596-2602 - [c23]Kun Li, Xianghan Zheng, Chunming Rong, Yuanlong Yu, Riqing Chen:
Protein Function Detection Based on Machine Learning: Survey and Possible Solutions. ISPDC 2016: 327-333 - [c22]Danling Lu, Yuanlong Yu, Huaping Liu:
Gesture recognition using data glove: An extreme learning machine method. ROBIO 2016: 1349-1354 - [c21]Yuanlong Yu, Liyan Xie, Zhiyong Huang:
An object tracking method using extreme learning machine with online learning. SSCI 2016: 1-7 - 2015
- [j8]Xianghan Zheng, Zhipeng Zeng, Zheyi Chen, Yuanlong Yu, Chunming Rong:
Detecting spammers on social networks. Neurocomputing 159: 27-34 (2015) - [c20]Kai Sun, Yuanlong Yu, Jason Gu:
Efficient robot navigation for semi-structured indoor storehouse. CCECE 2015: 1313-1317 - [c19]Kai Sun, Yuanlong Yu, Zhiyong Huang:
A generalized pruning algorithm for extreme learning machine. ICIA 2015: 1431-1436 - [c18]Zhifan Ye, Yuanlong Yu:
Network intrusion classification based on extreme learning machine. ICIA 2015: 1642-1647 - [c17]Changliang Sun, Yuanlong Yu, Huaping Liu, Jason Gu:
Robotic grasp detection using extreme learning machine. ROBIO 2015: 1115-1120 - [c16]Yuxiang Cai, Lin Li, Shilong Ni, Junyu Lv, Weibo Zeng, Yuanlong Yu:
Moving vehicle detection based on dense SIFT and Extreme Learning Machine for visual surveillance. ROBIO 2015: 1614-1618 - [c15]Dongsheng Cheng, Wenjing Yu, Xiaoling He, Shilong Ni, Junyu Lv, Weibo Zeng, Yuanlong Yu:
Scene recognition based on extreme learning machine for digital video archive management. ROBIO 2015: 1619-1624 - 2014
- [j7]Huaping Liu, Fuchun Sun, Yuanlong Yu:
Multitask Extreme Learning Machine for Visual Tracking. Cogn. Comput. 6(3): 391-404 (2014) - [j6]Yuanlong Yu, Jason Gu, Junzheng Wang:
Bhattacharyya distance-based irregular pyramid method for image segmentation. IET Comput. Vis. 8(6): 510-522 (2014) - [j5]Huaping Liu, Yunhui Liu, Yuanlong Yu, Fuchun Sun:
Diversified Key-Frame Selection Using Structured ${L_{2, 1}}$ Optimization. IEEE Trans. Ind. Informatics 10(3): 1736-1745 (2014) - [c14]Zhipeng Zeng, Xianghan Zheng, Guolong Chen, Yuanlong Yu:
Spammer Detection on Weibo Social Network. CloudCom 2014: 881-886 - [c13]Yuanlong Yu, Zhaojie Gu, Huaping Liu, Jason Gu:
A visual attention based method for detecting traffic signs of interest. ICIA 2014: 290-294 - [c12]Huaping Liu, Yulong Liu, Yuanlong Yu, Fuchun Sun:
Simultaneous prototype selection and outlier isolation for traffic sign recognition: A collaborative sparse optimization method. ICRA 2014: 2138-2143 - [c11]Zhiyong Huang, Yuanlong Yu, Shaozhen Ye, Huaping Liu:
Extreme learning machine based traffic sign detection. MFI 2014: 1-6 - 2013
- [j4]Yuanlong Yu, Jason Gu, George K. I. Mann, Raymond G. Gosine:
Development and Evaluation of Object-Based Visual Attention for Automatic Perception of Robots. IEEE Trans Autom. Sci. Eng. 10(2): 365-379 (2013) - [c10]Yuanlong Yu, Jason Gu:
A Jeffrey divergence based irregular pyramid method for pre-attentive visual segmentation. ROBIO 2013: 1671-1676 - 2012
- [j3]Yuanlong Yu, George K. I. Mann, Raymond G. Gosine:
A Single-Object Tracking Method for Robots using Object-Based Visual Attention. Int. J. Humanoid Robotics 9(4) (2012) - [j2]Yuanlong Yu, George K. I. Mann, Raymond G. Gosine:
A Goal-Directed Visual Perception System Using Object-Based Top-Down Attention. IEEE Trans. Auton. Ment. Dev. 4(1): 87-103 (2012) - [c9]Yuanlong Yu, Jason Gu:
Pre-attentive visual segmentation algorithm for cognitive robots. ROBIO 2012: 102-107 - 2010
- [j1]Yuanlong Yu, George K. I. Mann, Raymond G. Gosine:
An Object-Based Visual Attention Model for Robotic Applications. IEEE Trans. Syst. Man Cybern. Part B 40(5): 1398-1412 (2010) - [c8]Yuanlong Yu, George K. I. Mann, Raymond G. Gosine:
Target tracking for moving robots using object-based visual attention. IROS 2010: 2902-2907
2000 – 2009
- 2009
- [c7]Yuanlong Yu, George K. I. Mann, Ray G. Gosine:
Modeling of top-down object-based attention using probabilistic neural network. CCECE 2009: 533-536 - [c6]Yuanlong Yu, George K. I. Mann, Raymond G. Gosine:
Modeling of top-down influences on object-based visual attention for robots. ROBIO 2009: 1021-1026 - [c5]Yuanlong Yu, George K. I. Mann, Raymond G. Gosine:
A novel robotic visual perception method using object-based attention. ROBIO 2009: 1467-1473 - [c4]Yuanlong Yu, George K. I. Mann, Raymond G. Gosine:
An autonomous visual perception model for robots using object-based attention mechanism. ROBIO 2009: 1474-1479 - 2008
- [c3]Yuanlong Yu, George K. I. Mann, Ray G. Gosine:
An object-based visual attention model for robots. ICRA 2008: 943-948 - 2007
- [c2]Yuanlong Yu, George K. I. Mann, Ray G. Gosine:
Task-driven moving object detection for robots using visual attention. Humanoids 2007: 428-433 - [c1]Yuanlong Yu, George K. I. Mann, Raymond G. Gosine:
A task-driven object-based attention model for robots. ROBIO 2007: 1751-1756
Coauthor Index
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