| 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 | 1879 | 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 | 996 | 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 | 714 | 2019 |
| 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 | 488 | 2020 |
| 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 | 431 | 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 | 402 | 2019 |
| LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model P Gao, J Han, R Zhang, Z Lin, S Geng, A Zhou, W Zhang, P Lu, C He, ... arXiv preprint arXiv:2304.15010, 2023 | 364 | 2023 |
| 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 | 358 | 2018 |
| 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 | 310 | 2019 |
| 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, 2020 | 250 | 2020 |
| 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 | 248 | 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 | 247 | 2021 |
| 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 | 184* | 2019 |
| 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 | 161 | 2021 |
| Formal specification for deep neural networks SA Seshia, A Desai, T Dreossi, DJ Fremont, S Ghosh, E Kim, ... Automated Technology for Verification and Analysis: 16th International …, 2018 | 131 | 2018 |
| Self-Supervised Pretraining Improves Self-Supervised Pretraining X Yue*, CJ Reed*, A Nrusimha, S Ebrahimi, V Vijaykumar, R Mao, B Li, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 103 | 2022 |
| Meta-Transformer: A Unified Framework for Multimodal Learning Y Zhang, K Gong, K Zhang, H Li, Y Qiao, W Ouyang, X Yue arXiv preprint arXiv:2307.10802, 2023 | 84 | 2023 |
| Counterexample-guided data augmentation T Dreossi, S Ghosh, X Yue, K Keutzer, A Sangiovanni-Vincentelli, ... International Joint Conference on Artificial Intelligence, 2018 | 80 | 2018 |
| Scenic: A language for scenario specification and data generation DJ Fremont, E Kim, T Dreossi, S Ghosh, X Yue, ... Machine Learning 112 (10), 3805-3849, 2023 | 79 | 2023 |
| Image2point: 3d point-cloud understanding with 2d image pretrained models C Xu, S Yang, T Galanti, B Wu, X Yue, B Zhai, W Zhan, P Vajda, K Keutzer, ... European Conference on Computer Vision, 638-656, 2022 | 75 | 2022 |
Kurt KeutzerProfessor of the Graduate School, EECS, University of California, Berkeleyberkeley.edu의 이메일 확인됨
