Pengyuan Lv
Orcid: 0000-0002-8394-0078
According to our database1,
Pengyuan Lv
authored at least 43 papers
between 2015 and 2024.
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Bibliography
2024
Trans. Mach. Learn. Res., 2024
A Semi-Supervised Semantic and Spatial Change Detail Retention Network for Semantic Change Detection in Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2024
Irregular text block recognition via decoupling visual, linguistic, and positional information.
Pattern Recognit., 2024
IEEE Geosci. Remote. Sens. Lett., 2024
A Semi-Supervised Pyramid Cross-Temporal Attention Transformer for Change Detection in High-Resolution Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2024
R-CoT: Reverse Chain-of-Thought Problem Generation for Geometric Reasoning in Large Multimodal Models.
CoRR, 2024
StrucTexTv3: An Efficient Vision-Language Model for Text-rich Image Perception, Comprehension, and Beyond.
CoRR, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
WeCromCL: Weakly Supervised Cross-Modality Contrastive Learning for Transcription-Only Supervised Text Spotting.
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
Multi-temporal urban semantic understanding based on GF-2 remote sensing imagery: from tri-temporal datasets to multi-task mapping.
Int. J. Digit. Earth, December, 2023
ShapeFormer: A Shape-Enhanced Vision Transformer Model for Optical Remote Sensing Image Landslide Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
Towards Robust Real-Time Scene Text Detection: From Semantic to Instance Representation Learning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Proceedings of the 31st ACM International Conference on Multimedia, 2023
ICDAR 2023 Competition on Structured Text Extraction from Visually-Rich Document Images.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023
2022
Land-Use/Land-Cover Change Detection Based on Class-Prior Object-Oriented Conditional Random Field Framework for High Spatial Resolution Remote Sensing Imagery.
IEEE Trans. Geosci. Remote. Sens., 2022
SCViT: A Spatial-Channel Feature Preserving Vision Transformer for Remote Sensing Image Scene Classification.
IEEE Trans. Geosci. Remote. Sens., 2022
TRUST: An Accurate and End-to-End Table structure Recognizer Using Splitting-based Transformers.
CoRR, 2022
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
High Resolution Remote Sensing Image Semantic Segmentation Based on Ultra-Lightweight Fully Convolution Neural Network.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
A Novel V2V Cooperative Collision Warning System Using UWB/DR for Intelligent Vehicles.
Sensors, 2021
Remote. Sens., 2021
Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes.
IEEE Trans. Pattern Anal. Mach. Intell., 2021
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2019
IEEE Trans. Pattern Anal. Mach. Intell., 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Unsupervised Change Detection Based on Hybrid Conditional Random Field Model for High Spatial Resolution Remote Sensing Imagery.
IEEE Trans. Geosci. Remote. Sens., 2018
IEEE Access, 2018
Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes.
Proceedings of the Computer Vision - ECCV 2018, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
2017
Integrating Scene Text and Visual Appearance for Fine-Grained Image Classification with Convolutional Neural Networks.
CoRR, 2017
Change detection based on structural conditional random field framework for high spatial resolution remote sensing imagery.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017
2016
Change Detection Based on a Multifeature Probabilistic Ensemble Conditional Random Field Model for High Spatial Resolution Remote Sensing Imagery.
IEEE Geosci. Remote. Sens. Lett., 2016
Unsupervised change detection model based on hybrid conditional random field for high spatial resolution remote sensing imagery.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
Distinguishing text/non-text natural images with Multi-Dimensional Recurrent Neural Networks.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
2015
Unsupervised change detection based on conditional random fields and texture feature for high resolution remote sensing imagery.
Proceedings of the IEEE China Summit and International Conference on Signal and Information Processing, 2015