2D shape matching by contour flexibility C Xu, J Liu, X Tang IEEE transactions on pattern analysis and machine intelligence 31 (1), 180-186, 2008 | 230 | 2008 |
Data-free learning of student networks H Chen, Y Wang, C Xu, Z Yang, C Liu, B Shi, C Xu, C Xu, Q Tian Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 63 | 2019 |
Ghostnet: More features from cheap operations K Han, Y Wang, Q Tian, J Guo, C Xu, C Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 60 | 2020 |
Deep fitting degree scoring network for monocular 3d object detection L Liu, J Lu, C Xu, Q Tian, J Zhou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 43 | 2019 |
Learning Mahalanobis distance for DTW based online signature verification Y Qiao, X Wang, C Xu 2011 IEEE International Conference on Information and Automation, 333-338, 2011 | 38 | 2011 |
Cars: Continuous evolution for efficient neural architecture search Z Yang, Y Wang, X Chen, B Shi, C Xu, C Xu, Q Tian, C Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 37 | 2020 |
Searching for accurate binary neural architectures M Shen, K Han, C Xu, Y Wang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 34 | 2019 |
Bridgenet: A continuity-aware probabilistic network for age estimation W Li, J Lu, J Feng, C Xu, J Zhou, Q Tian Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 26 | 2019 |
AdderNet: Do we really need multiplications in deep learning? H Chen, Y Wang, C Xu, B Shi, C Xu, Q Tian, C Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 21 | 2020 |
Legonet: Efficient convolutional neural networks with lego filters Z Yang, Y Wang, C Liu, H Chen, C Xu, B Shi, C Xu, C Xu International Conference on Machine Learning, 7005-7014, 2019 | 21 | 2019 |
Co-evolutionary compression for unpaired image translation H Shu, Y Wang, X Jia, K Han, H Chen, C Xu, Q Tian, C Xu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 21 | 2019 |
Learning versatile filters for efficient convolutional neural networks Y Wang, C Xu, C Xu, C Xu, D Tao Advances in Neural Information Processing Systems 31, 1608-1618, 2018 | 21 | 2018 |
Efficient residual dense block search for image super-resolution D Song, C Xu, X Jia, Y Chen, C Xu, Y Wang Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12007 …, 2020 | 18 | 2020 |
Positive-unlabeled compression on the cloud Y Xu, Y Wang, H Chen, K Han, C Xu, D Tao, C Xu arXiv preprint arXiv:1909.09757, 2019 | 14 | 2019 |
Bag of textons for image segmentation via soft clustering and convex shift Z Yu, A Li, OC Au, C Xu 2012 IEEE Conference on Computer Vision and Pattern Recognition, 781-788, 2012 | 14 | 2012 |
Nonparametric density estimation on a graph: Learning framework, fast approximation and application in image segmentation Z Yu, OC Au, K Tang, C Xu CVPR 2011, 2201-2208, 2011 | 13 | 2011 |
Attribute aware pooling for pedestrian attribute recognition K Han, Y Wang, H Shu, C Liu, C Xu, C Xu arXiv preprint arXiv:1907.11837, 2019 | 12 | 2019 |
Boosting 3D object retrieval by object flexibility B Gong, C Xu, J Liu, X Tang Proceedings of the 17th ACM international conference on Multimedia, 525-528, 2009 | 12 | 2009 |
Detecting irregularity in videos using kernel estimation and kd trees Y Li, C Xu, J Liu, X Tang Proceedings of the 14th ACM international conference on Multimedia, 639-642, 2006 | 12 | 2006 |
Automatic object segmentation from large scale 3D urban point clouds through manifold embedded mode seeking Z Yu, C Xu, J Liu, OC Au, X Tang Proceedings of the 19th ACM international conference on Multimedia, 1297-1300, 2011 | 10 | 2011 |