| Human activity recognition using wearable sensors by deep convolutional neural networks W Jiang, Z Yin Proceedings of the 23rd ACM international conference on Multimedia, 1307-1310, 2015 | 734 | 2015 |
| American sign language alphabet recognition using microsoft kinect C Dong, MC Leu, Z Yin Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 303 | 2015 |
| The effects of visual congruence on increasing consumers’ brand engagement: An empirical investigation of influencer marketing on Instagram using deep-learning algorithms for … YA Argyris, Z Wang, Y Kim, Z Yin Computers in Human Behavior 112, 106443, 2020 | 212 | 2020 |
| Smart augmented reality instructional system for mechanical assembly towards worker-centered intelligent manufacturing ZH Lai, W Tao, MC Leu, Z Yin Journal of Manufacturing Systems 55, 69-81, 2020 | 163 | 2020 |
| American Sign Language alphabet recognition using Convolutional Neural Networks with multiview augmentation and inference fusion W Tao, MC Leu, Z Yin Engineering Applications of Artificial Intelligence 76, 202-213, 2018 | 152 | 2018 |
| Understanding the phase contrast optics to restore artifact-free microscopy images for segmentation Z Yin, T Kanade, M Chen Medical image analysis 16 (5), 1047-1062, 2012 | 151 | 2012 |
| Cell image analysis: Algorithms, system and applications T Kanade, Z Yin, R Bise, S Huh, S Eom, MF Sandbothe, M Chen 2011 IEEE Workshop on Applications of Computer Vision (WACV), 374-381, 2011 | 134 | 2011 |
| Worker activity recognition in smart manufacturing using IMU and sEMG signals with convolutional neural networks W Tao, ZH Lai, MC Leu, Z Yin Procedia Manufacturing 26, 1159-1166, 2018 | 123 | 2018 |
| Reliable cell tracking by global data association R Bise, Z Yin, T Kanade 2011 IEEE international symposium on biomedical imaging: From nano to macro …, 2011 | 118 | 2011 |
| Belief propagation in a 3D spatio-temporal MRF for moving object detection Z Yin, R Collins 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007 | 114 | 2007 |
| Moving object localization in thermal imagery by forward-backward MHI Z Yin, R Collins 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW …, 2006 | 110 | 2006 |
| A survey on applications of deep learning in microscopy image analysis Z Liu, L Jin, J Chen, Q Fang, S Ablameyko, Z Yin, Y Xu Computers in biology and medicine 134, 104523, 2021 | 109 | 2021 |
| Cell segmentation in microscopy imagery using a bag of local Bayesian classifiers Z Yin, R Bise, M Chen, T Kanade 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2010 | 103 | 2010 |
| Cell segmentation in phase contrast microscopy images via semi-supervised classification over optics-related features H Su, Z Yin, S Huh, T Kanade Medical image analysis 17 (7), 746-765, 2013 | 95 | 2013 |
| Likelihood map fusion for visual object tracking Z Yin, F Porikli, RT Collins 2008 IEEE Workshop on Applications of Computer Vision, 1-7, 2008 | 92 | 2008 |
| Understanding the optics to aid microscopy image segmentation Z Yin, K Li, T Kanade, M Chen Medical Image Computing and Computer-Assisted Intervention–MICCAI 2010: 13th …, 2010 | 79 | 2010 |
| Improving depth perception with motion parallax and its application in teleconferencing C Zhang, Z Yin, D Florêncio 2009 IEEE International Workshop on Multimedia Signal Processing, 1-6, 2009 | 75 | 2009 |
| Online recursive algorithm for short-term traffic prediction F Yang, Z Yin, H Liu, B Ran Transportation Research Record 1879 (1), 1-8, 2004 | 75 | 2004 |
| Interactive cell segmentation based on active and semi-supervised learning H Su, Z Yin, S Huh, T Kanade, J Zhu IEEE transactions on medical imaging 35 (3), 762-777, 2015 | 64 | 2015 |
| Shape constrained figure-ground segmentation and tracking Z Yin, RT Collins 2009 IEEE Conference on Computer Vision and Pattern Recognition, 731-738, 2009 | 58 | 2009 |
Takeo KanadeCarnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
