| 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 | 2156 | 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 | 1111 | 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 | 815 | 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 | 580 | 2020 |
| 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 | 536 | 2023 |
| 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 | 470 | 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 | 465 | 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 | 398 | 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 | 363 | 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 | 318 | 2020 |
| 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 | 303 | 2021 |
| 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 | 277 | 2018 |
| 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 | 200* | 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 | 196 | 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 | 146 | 2018 |
| 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 | 137 | 2023 |
| UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio Video Point Cloud Time-Series and Image Recognition X Ding, Y Zhang, Y Ge, S Zhao, L Song, X Yue, Y Shan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 130 | 2024 |
| Self-Supervised Pretraining Improves Self-Supervised Pretraining CJ Reed*, X Yue*, A Nrusimha, S Ebrahimi, V Vijaykumar, R Mao, B Li, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 125 | 2022 |
| 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 | 113 | 2023 |
| ImageBind-LLM: Multi-modality Instruction Tuning J Han, R Zhang, W Shao, P Gao, P Xu, H Xiao, K Zhang, C Liu, S Wen, ... arXiv preprint arXiv:2309.03905, 2023 | 107 | 2023 |
Kurt KeutzerProfessor of the Graduate School, EECS, University of California, BerkeleyEmail verificata su berkeley.edu