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Ruohao Guo
Ruohao Guo
在 stu.pku.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
A review of computer vision technologies for plant phenotyping
Z Li, R Guo, M Li, Y Chen, G Li
Computers and Electronics in Agriculture 176, 105672, 2020
2462020
Sotr: Segmenting objects with transformers
R Guo, D Niu, L Qu, Z Li
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
1062021
A high-precision detection method of hydroponic lettuce seedlings status based on improved Faster RCNN
Z Li, Y Li, Y Yang, R Guo, J Yang, J Yue, Y Wang
Computers and electronics in agriculture 182, 106054, 2021
852021
A solanaceae disease recognition model based on SE-Inception
Z Li, Y Yang, Y Li, RH Guo, J Yang, J Yue
Computers and Electronics in Agriculture 178, 105792, 2020
372020
Leafmask: Towards greater accuracy on leaf segmentation
R Guo, L Qu, D Niu, Z Li, J Yue
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
162021
Morié attack (ma): A new potential risk of screen photos
D Niu, R Guo, Y Wang
Advances in Neural Information Processing Systems 34, 26117-26129, 2021
82021
CM-PIE: Cross-modal perception for interactive-enhanced audio-visual video parsing
Y Chen, R Guo, X Liu, P Wu, G Li, Z Li, W Wang
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2023
22023
Sub-Adjacent Transformer: Improving Time Series Anomaly Detection with Reconstruction Error from Sub-Adjacent Neighborhoods
W Yue, X Ying, R Guo, DD Chen, J Shi, B Xing, Y Zhu, T Chen
arXiv preprint arXiv:2404.18948, 2024
2024
VPDETR: End-to-End Vanishing Point DEtection TRansformers
T Chen, X Ying, J Yang, R Wang, R Guo, B Xing, J Shi
Proceedings of the AAAI Conference on Artificial Intelligence 38 (2), 1192-1200, 2024
2024
UniTR: A Unified TRansformer-based Framework for Co-object and Multi-modal Saliency Detection
R Guo, X Ying, Y Qi, L Qu
IEEE Transactions on Multimedia, 2024
2024
Audio-Visual Instance Segmentation
R Guo, Y Chen, Y Qi, W Yue, D Niu, X Ying
arXiv preprint arXiv:2310.18709, 2023
2023
Afnet: Local Aggregation and Context Fusion Network for Plant Point Cloud Part Segmentation
Y Qi, R Guo, Z Li, L Qu, D Niu
Available at SSRN 4758917, 0
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