[1] yuanlong yu, george k. i. mann, and raymond g. gosine, “an object-based visual attention model for robotic applications”, ieee transactions on systems, man and cybernetics, part b: cybernetics, vol. 40, no. 5, pp. 1398-1412, 2010.
[2] yuanlong yu, george k. i. mann, and raymond g. gosine, “a goal-directed visual perception system using object-based top-down attention”, ieee transactions on autonomous mental development, vol. 4, no. 1, pp. 87-103, 2012.
[3] yuanlong yu, jason gu, george k. i. mann, and raymond g. gosine, “development and evaluation of object-based visual attention for automatic perception of robots”, ieee transactions on automation science and engineering, vol. 10, no. 2, pp. 365-379, 2013.
[4] zhiyong huang, yuanlong yu*, jason gu and huaping liu, “an efficient method for traffic sign recognition based on extreme learning machine”, ieee transactions on cybernetics, vol. 47, no. 4, pp. 920-933, 2017. (esi高被引论文)
[5] huaping liu, yuanlong yu, fuchun sun and jason gu, “visual-tactile fusion for object recognition”, ieee transactions on automation science and engineering, vol. 14, no. 2, pp. 996-1008, 2017. (esi高被引论文)
[6] yuanlong yu and zhenzhen sun, “sparse coding extreme learning machine for classification”, neurocomputing, vol. 261, pp. 50-56, 2017.
[7] feigege wang, yue gu, wenxi liu, yuanlong yu*, shengfeng he, and jia pan, “context-aware spatio-recurrent curvilinear structure segmentation”, in proceedings of ieee/cvf international conference on computer vision and pattern recognition (cvpr), pp. 12640-12649, 2019.
[8] xiaosheng yan, feigege wang, wenxi liu, yuanlong yu*, shengfeng he, and jia pan, “visualizing the invisible: occluded vehicle segmentation and recovery”, in proceedings of ieee/cvf international conference on computer vision (iccv), pp. 7617-7626, 2019.
[9] you huang and yuanlong yu*, “an internal covariate shift bounding algorithm for deep neural networks by unitizing layers’ outputs”, in proceedings of ieee/cvf international conference on computer vision and pattern recognition (cvpr), pp. 8462-8470, 2020.
[10] weixiang yang, qi li, wenxi liu, yuanlong yu*, yuexin ma, shengfeng he, and jia pan, “projecting your view attentively: monocular road scene layout estimation via cross-view transformation”, in proceedings of ieee/cvf conference on computer vision and pattern recognition (cvpr), pp. 2021.
