| Ensemble deep learning for skeleton-based action recognition using temporal sliding lstm networks I Lee, D Kim, S Kang, S Lee Proceedings of the IEEE international conference on computer vision, 1012-1020, 2017 | 480 | 2017 |
| Fully deep blind image quality predictor J Kim, S Lee IEEE Journal of selected topics in signal processing 11 (1), 206-220, 2016 | 479 | 2016 |
| Non-orthogonal multiple access in a downlink multiuser beamforming system B Kimy, S Lim, H Kim, S Suh, J Kwun, S Choi, C Lee, S Lee, D Hong MILCOM 2013-2013 IEEE Military Communications Conference, 1278-1283, 2013 | 437 | 2013 |
| Deep CNN-based blind image quality predictor J Kim, AD Nguyen, S Lee IEEE transactions on neural networks and learning systems 30 (1), 11-24, 2018 | 310 | 2018 |
| Deep convolutional neural models for picture-quality prediction: Challenges and solutions to data-driven image quality assessment J Kim, H Zeng, D Ghadiyaram, S Lee, L Zhang, AC Bovik IEEE Signal processing magazine 34 (6), 130-141, 2017 | 295 | 2017 |
| Deep learning of human visual sensitivity in image quality assessment framework J Kim, S Lee Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 292 | 2017 |
| Propagating lstm: 3d pose estimation based on joint interdependency K Lee, I Lee, S Lee Proceedings of the European conference on computer vision (ECCV), 119-135, 2018 | 269 | 2018 |
| Foveated video quality assessment S Lee, MS Pattichis, AC Bovik IEEE Transactions on Multimedia 4 (1), 129-132, 2002 | 204 | 2002 |
| Foveated video compression with optimal rate control S Lee, MS Pattichis, AC Bovik IEEE Transactions on Image Processing 10 (7), 977-992, 2001 | 194 | 2001 |
| Deep video quality assessor: From spatio-temporal visual sensitivity to a convolutional neural aggregation network W Kim, J Kim, S Ahn, J Kim, S Lee Proceedings of the European conference on computer vision (ECCV), 219-234, 2018 | 148 | 2018 |
| A hand gesture recognition sensor using reflected impulses SY Kim, HG Han, JW Kim, S Lee, TW Kim IEEE Sensors Journal 17 (10), 2975-2976, 2017 | 146 | 2017 |
| Video quality pooling adaptive to perceptual distortion severity J Park, K Seshadrinathan, S Lee, AC Bovik IEEE Transactions on Image Processing 22 (2), 610-620, 2012 | 139 | 2012 |
| Joint energy management system of electric supply and demand in houses and buildings S Lee, B Kwon, S Lee IEEE Transactions on Power Systems 29 (6), 2804-2812, 2014 | 128 | 2014 |
| Saliency prediction on stereoscopic videos H Kim, S Lee, AC Bovik IEEE Transactions on Image Processing 23 (4), 1476-1490, 2014 | 109 | 2014 |
| Soft load balancing over heterogeneous wireless networks H Son, S Lee, SC Kim, YS Shin IEEE Transactions on Vehicular Technology 57 (4), 2632-2638, 2008 | 97 | 2008 |
| 3D visual discomfort predictor: Analysis of disparity and neural activity statistics J Park, H Oh, S Lee, AC Bovik IEEE transactions on image processing 24 (3), 1101-1114, 2014 | 94 | 2014 |
| CoMP-CSB for ICI nulling with user selection U Jang, H Son, J Park, S Lee IEEE Transactions on Wireless Communications 10 (9), 2982-2993, 2011 | 90 | 2011 |
| A deep cybersickness predictor based on brain signal analysis for virtual reality contents J Kim, W Kim, H Oh, S Lee, S Lee Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 89 | 2019 |
| Fast algorithms for foveated video processing S Lee, AC Bovik IEEE Transactions on Circuits and Systems for Video Technology 13 (2), 149-162, 2003 | 87 | 2003 |
| Blind deep S3D image quality evaluation via local to global feature aggregation H Oh, S Ahn, J Kim, S Lee IEEE Transactions on Image Processing 26 (10), 4923-4936, 2017 | 85 | 2017 |
Alan BovikCockrell Family Regents Endowed Chair Professor, The University of Texas at AustinEmail yang diverifikasi di ece.utexas.edu