| 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 | 2141 | 2018 |
| Auto-encoder based dimensionality reduction Y Wang, H Yao, S Zhao Neurocomputing 184, 232-242, 2016 | 1106 | 2016 |
| 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 | 812 | 2019 |
| 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 | 468 | 2018 |
| 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 | 460 | 2019 |
| 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 | 409 | 2014 |
| 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 | 394 | 2018 |
| A Review of Single-Source Deep Unsupervised Visual Domain Adaptation S Zhao, X Yue, S Zhang, B Li, H Zhao, B Wu, R Krishna, JE Gonzalez, ... IEEE Transactions on Neural Networks and Learning Systems 33 (2), 473-493, 2022 | 312 | 2022 |
| Multi-source distilling domain adaptation S Zhao, G Wang, S Zhang, Y Gu, Y Li, Z Song, P Xu, R Hu, H Chai, ... Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12975 …, 2020 | 249 | 2020 |
| 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 | 203 | 2017 |
| Multi-source domain adaptation for semantic segmentation S Zhao, B Li, X Yue, Y Gu, P Xu, R Hu, H Chai, K Keutzer Advances in Neural Information Processing Systems, 7287-7300, 2019 | 200 | 2019 |
| 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 | 168 | 2018 |
| Personality-Assisted Multi-Task Learning for Generic and Personalized Image Aesthetics Assessment L Li, H Zhu, S Zhao, G Ding, W Lin IEEE Transactions on Image Processing 29, 3898-3910, 2020 | 144 | 2020 |
| Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey S Zhao, B Li, C Reed, P Xu, K Keutzer arXiv preprint arXiv:2002.12169, 2020 | 143 | 2020 |
| A neural multi-task learning framework to jointly model medical named entity recognition and normalization S Zhao, T Liu, S Zhao, F Wang Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 817-824, 2019 | 136 | 2019 |
| Multimodal Sentiment Analysis With Image-Text Interaction Network T Zhu, L Li, J Yang, S Zhao, H Liu, J Qian IEEE Transactions on Multimedia 25, 3375-3385, 2023 | 132 | 2023 |
| Affective Image Content Analysis: Two Decades Review and New Perspectives S Zhao, X Yao, J Yang, G Jia, G Ding, TS Chua, BW Schuller, K Keutzer IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (10), 6729 …, 2022 | 130 | 2022 |
| Emotion Recognition from Multiple Modalities: Fundamentals and Methodologies S Zhao, G Jia, J Yang, G Ding, K Keutzer IEEE Signal Processing Magazine 38 (6), 59-73, 2021 | 126 | 2021 |
| 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 | 126 | 2016 |
| An End-to-End visual-audio attention network for emotion recognition in user-generated videos S Zhao, Y Ma, Y Gu, J Yang, T Xing, P Xu, R Hu, H Chai, K Keutzer Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 303-311, 2020 | 125 | 2020 |
Hongxun YaoHarbin Institute of Technology在 hit.edu.cn 的电子邮件经过验证
