Articoli con mandati relativi all'accesso pubblico - Xiangyu YueUlteriori informazioni
Disponibili pubblicamente: 16
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
Mandati: US Department of Defense
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
Mandati: US Department of Defense
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
Mandati: US National Science Foundation
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
Mandati: US National Science Foundation, US Department of Defense
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
Mandati: US National Science Foundation
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
Mandati: US National Science Foundation, US Department of Defense
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
Mandati: National Natural Science Foundation of China
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
Mandati: US National Science Foundation, US Department of Defense
Onellm: One framework to align all modalities with language
J Han, K Gong, Y Zhang, J Wang, K Zhang, D Lin, Y Qiao, P Gao, X Yue
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
Mandati: National Natural Science Foundation of China
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
Mandati: US National Science Foundation
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 129 (8), 2399-2424, 2021
Mandati: National Natural Science Foundation of China
Emotional semantics-preserved and feature-aligned cyclegan for visual emotion adaptation
S Zhao, X Chen, X Yue, C Lin, P Xu, R Krishna, J Yang, G Ding, ...
IEEE Transactions on Cybernetics 52 (10), 10000-10013, 2021
Mandati: National Natural Science Foundation of China
Curriculum cyclegan for textual sentiment domain adaptation with multiple sources
X Yue*, S Zhao*, Y Xiao*, J Guo*, J Yang, R Krishna, P Xu, K Keutzer
Proceedings of the Web Conference (WWW) 2021, 541-552, 2021
Mandati: National Natural Science Foundation of China
3D Environment Modeling for Falsification and Beyond with Scenic 3.0
E Vin, S Kashiwa, M Rhea, DJ Fremont, E Kim, T Dreossi, S Ghosh, X Yue, ...
International Conference on Computer Aided Verification, 253-265, 2023
Mandati: US National Science Foundation, US Department of Defense
Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities
Y Zhang, X Ding, K Gong, Y Ge, Y Shan, X Yue
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
Mandati: National Natural Science Foundation of China
Dissecting lightning strike hazard impact patterns to National Airspace System facilities in the contiguous United States
Y He, X Yue, S Lindbergh, J Gao, C Graves, J Rakas
Computers, Environment and Urban Systems 91, 101735, 2022
Mandati: US National Science Foundation
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