Xiangyu Yue
Xiangyu Yue
PhD candidate in EECS, University of California, Berkeley
Verified email at eecs.berkeley.edu - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
Counterexample-guided data augmentation
T Dreossi, S Ghosh, X Yue, K Keutzer, A Sangiovanni-Vincentelli, ...
International Joint Conference on Artificial Intelligence, 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
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
Scenic: Language-based scene generation
DJ Fremont, X Yue, T Dreossi, S Ghosh, AL Sangiovanni-Vincentelli, ...
arXiv preprint arXiv:1809.09310, 2018
Integration of hardware and software designs for object grasping and transportation by a mobile robot with navigation guidance via a unique bearing-alignment mechanism
J Wu, X Yue, W Li
IEEE/ASME Transactions on Mechatronics 21 (1), 576-583, 2015
Self-Supervised Pretraining Improves Self-Supervised Pretraining
CJ Reed*, X Yue*, A Nrusimha, S Ebrahimi, V Vijaykumar, R Mao, B Li, ...
arXiv preprint arXiv:2103.12718, 2021
MADAN: multi-source adversarial domain aggregation network for domain adaptation
S Zhao, B Li, P Xu, X Yue, G Ding, K Keutzer
International Journal of Computer Vision, 1-26, 2021
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
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
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