| 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 | 946 | 2018 |
| Squeezeseg: Convolutional neural nets with recurrent crf for real-time road-object segmentation from 3d lidar point cloud B Wu, A Wan, X Yue, K Keutzer 2018 IEEE International Conference on Robotics and Automation (ICRA), 1887-1893, 2018 | 525 | 2018 |
| 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 | 332 | 2019 |
| Shift: A zero flop, zero parameter alternative to spatial convolutions B Wu, X Yue*, A Wan*, P Jin, S Zhao, N Golmant, A Gholaminejad, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 261 | 2018 |
| 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 | 192 | 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 International Conference on Computer Vision, 2100-2110, 2019 | 135 | 2019 |
| A lidar point cloud generator: from a virtual world to autonomous driving X Yue, B Wu, SA Seshia, K Keutzer, AL Sangiovanni-Vincentelli Proceedings of the 2018 ACM on International Conference on Multimedia …, 2018 | 133 | 2018 |
| Polarnet: An improved grid representation for online lidar point clouds semantic segmentation Y Zhang, Z Zhou, P David, X Yue, Z Xi, B Gong, H Foroosh Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 131 | 2020 |
| Scenic: a language for scenario specification and scene generation DJ Fremont, X Yue*, T Dreossi*, S Ghosh*, AL Sangiovanni-Vincentelli, ... Proceedings of the 40th ACM SIGPLAN Conference on Programming Language …, 2019 | 131 | 2019 |
| Multi-source domain adaptation for semantic segmentation X Yue*, S Zhao*, B Li*, Y Gu, P Xu, R Hu, H Chai, K Keutzer Advances in Neural Information Processing Systems, 7287-7300, 2019 | 99* | 2019 |
| Formal specification for deep neural networks SA Seshia, A Desai, T Dreossi, DJ Fremont, S Ghosh, E Kim, ... International Symposium on Automated Technology for Verification and …, 2018 | 76 | 2018 |
| Formal Specification for Deep Neural Networks S Ghosh, E Kim, S Shivakumar, M Vazquez-Chanlatte, X Yue Automated Technology for Verification and Analysis: 16th International …, 2018 | 76* | 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, 2020 | 66 | 2020 |
| Counterexample-guided data augmentation T Dreossi, S Ghosh, X Yue, K Keutzer, A Sangiovanni-Vincentelli, ... International Joint Conference on Artificial Intelligence, 2018 | 53 | 2018 |
| Unsupervised Point Cloud Pre-Training via Occlusion Completion H Wang, Q Liu, X Yue, J Lasenby, MJ Kusner Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 39* | 2021 |
| A Novel Domain Adaptation Framework for Medical Image Segmentation A Gholami, S Subramanian, V Shenoy, N Himthani, X Yue, S Zhao, P Jin, ... arXiv preprint arXiv:1810.05732, 2018 | 35 | 2018 |
| Unsupervised Point Cloud Pre-Training via View-Point Occlusion, Completion H Wang, Q Liu, X Yue, J Lasenby, MJ Kusner arXiv preprint arXiv:2010.01089, 2020 | 31* | 2020 |
| Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation X Yue, Z Zheng, S Zhang, Y Gao, T Darrell, K Keutzer, AS Vincentelli Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 23 | 2021 |
| Self-Supervised Pretraining Improves Self-Supervised Pretraining X Yue*, CJ Reed*, A Nrusimha, S Ebrahimi, V Vijaykumar, R Mao, B Li, ... arXiv preprint arXiv:2103.12718, 2021 | 23 | 2021 |
| Scenic: Language-based scene generation DJ Fremont, X Yue, T Dreossi, S Ghosh, AL Sangiovanni-Vincentelli, ... arXiv preprint arXiv:1809.09310, 2018 | 21 | 2018 |
Kurt KeutzerProfessor of the Graduate School, EECS, University of California, BerkeleyVerified email at berkeley.edu
