| Multilabel remote sensing image retrieval based on fully convolutional network Z Shao, W Zhou, X Deng, M Zhang, Q Cheng IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 180 | 2020 |
| Convolutions die hard: Open-vocabulary segmentation with single frozen convolutional clip Q Yu, J He, X Deng, X Shen, LC Chen Advances in Neural Information Processing Systems 36, 2024 | 69 | 2024 |
| Fine-grained land use classification at the city scale using ground-level images Y Zhu, X Deng, S Newsam IEEE Transactions on Multimedia 21 (7), 1825-1838, 2019 | 54 | 2019 |
| One-class remote sensing classification: one-class vs. binary classifiers X Deng, W Li, X Liu, Q Guo, S Newsam International Journal of Remote Sensing 39 (6), 1890-1910, 2018 | 42 | 2018 |
| NightLab: A dual-level architecture with hardness detection for segmentation at night X Deng, P Wang, X Lian, S Newsam Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 36 | 2022 |
| Large Scale Unsupervised Domain Adaptation of Segmentation Networks with Adversarial Learning X Deng, HL Yang, N Makkar, D Lunga 2019 IEEE International Geoscience and Remote Sensing Symposium, 4, 2019 | 34 | 2019 |
| What is it like down there? generating dense ground-level views and image features from overhead imagery using conditional generative adversarial networks X Deng, Y Zhu, S Newsam Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances …, 2018 | 33 | 2018 |
| Scale aware adaptation for land-cover classification in remote sensing imagery X Deng, Y Zhu, Y Tian, S Newsam Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 28 | 2021 |
| Cross-time and orientation-invariant overhead image geolocalization using deep local features Y Tian, X Deng, Y Zhu, S Newsam Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 24 | 2020 |
| Region convolutional features for multi-label remote sensing image retrieval W Zhou, X Deng, Z Shao arXiv preprint arXiv:1807.08634, 2018 | 22 | 2018 |
| Quantitative comparison of open-source data for fine-grain mapping of land use X Deng, S Newsam Proceedings of the 3rd ACM SIGSPATIAL Workshop on Smart Cities and Urban …, 2017 | 15 | 2017 |
| Using conditional generative adversarial networks to generate ground-level views from overhead imagery X Deng, Y Zhu, S Newsam arXiv preprint arXiv:1902.06923, 2019 | 8 | 2019 |
| GeoAI at ACM SIGSPATIAL: the new frontier of geospatial artificial intelligence research D Lunga, Y Hu, S Newsam, S Gao, B Martins, L Yang, X Deng SIGSpatial Special 13 (3), 21-32, 2022 | 7 | 2022 |
| Distpro: Searching a fast knowledge distillation process via meta optimization X Deng, D Sun, S Newsam, P Wang European Conference on Computer Vision, 218-235, 2022 | 6 | 2022 |
| Generalizing deep models for overhead image segmentation through Getis-Ord Gi* pooling X Deng, Y Zhu, Y Tian, S Newsam arXiv preprint arXiv:1912.10667, 2019 | 5 | 2019 |
| An Image is Worth 32 Tokens for Reconstruction and Generation Q Yu, M Weber, X Deng, X Shen, D Cremers, LC Chen arXiv preprint arXiv:2406.07550, 2024 | 4 | 2024 |
| AutoAdapt: Automated segmentation network search for unsupervised domain adaptation X Deng, Y Zhu, Y Tian, S Newsam arXiv preprint arXiv:2106.13227, 2021 | 3 | 2021 |
| Spatial morphing kernel regression for feature interpolation X Deng, Y Zhu, S Newsam 2018 25th IEEE International Conference on Image Processing (ICIP), 2182-2186, 2018 | 3 | 2018 |
| Coconut: Modernizing coco segmentation X Deng, Q Yu, P Wang, X Shen, LC Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2 | 2024 |
| Maxtron: Mask transformer with trajectory attention for video panoptic segmentation J He, Q Yu, I Shin, X Deng, A Yuille, X Shen, LC Chen | 2 | 2023 |
Shawn NewsamUniversity of California, MercedVerified email at ucmerced.edu
