| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 471 | 2018 |
| Auto-encoder based dimensionality reduction Y Wang, H Yao, S Zhao Neurocomputing 184, 232-242, 2016 | 258 | 2016 |
| Exploring principles-of-art features for image emotion recognition S Zhao, Y Gao, X Jiang, H Yao, TS Chua, X Sun Proceedings of the 22nd ACM international conference on Multimedia, 47-56, 2014 | 212 | 2014 |
| Shift: A zero flop, zero parameter alternative to spatial convolutions B Wu, A Wan, X Yue, P Jin, S Zhao, N Golmant, A Gholaminejad, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 174 | 2018 |
| Continuous Probability Distribution Prediction of Image Emotions via Multitask Shared Sparse Regression S Zhao, H Yao, Y Gao, R Ji, G Ding IEEE Transactions on Multimedia 19 (3), 632-645, 2017 | 160 | 2017 |
| Squeezesegv2: Improved model structure and unsupervised domain adaptation for road-object segmentation from a lidar point cloud B Wu, X Zhou, S Zhao, X Yue, K Keutzer 2019 International Conference on Robotics and Automation (ICRA), 4376-4382, 2019 | 155 | 2019 |
| Squeezenext: Hardware-aware neural network design A Gholami, K Kwon, B Wu, Z Tai, X Yue, P Jin, S Zhao, K Keutzer Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 123 | 2018 |
| Predicting personalized image emotion perceptions in social networks S Zhao, H Yao, Y Gao, G Ding, TS Chua IEEE Transactions on Affective Computing 9 (4), 526-540, 2018 | 116 | 2018 |
| Affective image retrieval via multi-graph learning S Zhao, H Yao, Y Yang, Y Zhang Proceedings of the 22nd ACM international conference on Multimedia, 1025-1028, 2014 | 90 | 2014 |
| Real-time multimedia social event detection in microblog S Zhao, Y Gao, G Ding, TS Chua IEEE Transactions on Cybernetics 48 (11), 3218-3231, 2018 | 76 | 2018 |
| View-Based 3D Object Retrieval via Multi-Modal Graph Learning S Zhao, H Yao, Y Zhang, Y Wang, S Liu Signal Processing 112, 110-118, 2015 | 75 | 2015 |
| Predicting personalized emotion perceptions of social images S Zhao, H Yao, Y Gao, R Ji, W Xie, X Jiang, TS Chua Proceedings of the 24th ACM international conference on Multimedia, 1385-1394, 2016 | 67 | 2016 |
| Approximating Discrete Probability Distribution of Image Emotions by Multi-Modal Features Fusion S Zhao, G Ding, Y Gao, J Han International Joint Conference on Artificial Intelligence (IJCAI), 4669-4675, 2017 | 60 | 2017 |
| Strategy for dynamic 3D depth data matching towards robust action retrieval S Zhao, L Chen, H Yao, Y Zhang, X Sun Neurocomputing 151, 533-543, 2015 | 53 | 2015 |
| Reference Based LSTM for Image Captioning M Chen, G Ding, S Zhao, H Chen, Q Liu, J Han Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 51 | 2017 |
| Event causality extraction based on connectives analysis S Zhao, T Liu, S Zhao, Y Chen, JY Nie Neurocomputing 173, 1943-1950, 2016 | 46 | 2016 |
| Video classification and recommendation based on affective analysis of viewers S Zhao, H Yao, X Sun Neurocomputing 119, 101-110, 2013 | 46 | 2013 |
| EmotionGAN: Unsupervised domain adaptation for learning discrete probability distributions of image emotions S Zhao, X Zhao, G Ding, K Keutzer Proceedings of the 26th ACM international conference on Multimedia, 1319-1327, 2018 | 45 | 2018 |
| Video indexing and recommendation based on affective analysis of viewers S Zhao, H Yao, X Sun, P Xu, X Liu, R Ji Proceedings of the 19th ACM international conference on Multimedia, 1473-1476, 2011 | 44 | 2011 |
| Domain randomization and pyramid consistency: Simulation-to-real generalization without accessing target domain data X Yue, Y Zhang, S Zhao, A Sangiovanni-Vincentelli, K Keutzer, B Gong Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 43 | 2019 |
Hongxun YaoHarbin Institute of TechnologyVerified email at hit.edu.cn
