X Xu*, X Zhou*, R Venkatesan, G Swaminathan, O Majumder
IEEE Conference on Computer Vision and Pattern Recognition, 2497-2506, 2019
160 2019 Visual prompt tuning for test-time domain adaptation Y Gao, X Shi, Y Zhu, H Wang, Z Tang, X Zhou, M Li, DN Metaxas
arXiv preprint arXiv:2210.04831, 2022
79 2022 Superpixel-based active learning and online feature importance learning for hyperspectral image analysis J Guo, X Zhou, J Li, A Plaza, S Prasad
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017
44 2017 Deep feature alignment neural networks for domain adaptation of hyperspectral data X Zhou, S Prasad
IEEE Transactions on Geoscience and Remote Sensing 56 (10), 5863-5872, 2018
42 2018 Wavelet-domain multiview active learning for spatial-spectral hyperspectral image classification X Zhou, S Prasad, MM Crawford
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016
40 2016 Affordancellm: Grounding affordance from vision language models S Qian, W Chen, M Bai, X Zhou, Z Tu, LE Li
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
29 2024 Active and semisupervised learning with morphological component analysis for hyperspectral image classification X Zhou, S Prasad
IEEE Geoscience and Remote Sensing Letters 14 (8), 1348-1352, 2017
28 2017 Domain adaptation for robust classification of disparate hyperspectral images X Zhou, S Prasad
IEEE Transactions on Computational Imaging 3 (4), 822-836, 2017
22 2017 Vigor: Improving visual grounding of large vision language models with fine-grained reward modeling S Yan, M Bai, W Chen, X Zhou, Q Huang, LE Li
European Conference on Computer Vision, 37-53, 2024
18 2024 Advances in deep learning for hyperspectral image analysis—addressing challenges arising in practical imaging scenarios X Zhou, S Prasad
Hyperspectral Image Analysis: Advances in Machine Learning and Signal …, 2020
14 2020 Wavelet domain multi-view active learning for hyperspectral image analysis X Zhou, S Prasad, M Crawford
2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2014
13 2014 Crowd-sourced artificial intelligence image processing services V Khare, G Swaminathan, Z Xiong
US Patent 10,360,482, 2019
11 2019 Exploiting invariance in training deep neural networks C Ye, X Zhou, T McKinney, Y Liu, Q Zhou, F Zhdanov
Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8849-8856, 2022
5 2022 Generating artificial intelligence image processing services LP Dirac, V Khare, G Swaminathan, Z Xiong
US Patent 10,474,926, 2019
5 2019 Searching compression profiles for trained neural networks R Venkatesan, G Swaminathan, Z Xiong, R Luo, V Khare
US Patent App. 18/334,091, 2023
4 2023 Transformation learning based domain adaptation for robust classification of disparate hyperspectral data X Zhou, S Prasad
Geoscience and Remote Sensing Symposium (IGARSS), 2017 IEEE International …, 2017
4 2017 Finetext: text classification via attention-based language model fine-tuning Y Tao, S Gupta, S Krishna, X Zhou, O Majumder, V Khare
arXiv preprint arXiv:1910.11959, 2019
3 2019 Mapping mangrove communities in coastal wetlands using airborne hyperspectral data X Zhou, AR Armitage, S Prasad
Hyperspectral Image and Signal Processing: Evolution in Remote Sensing …, 2016
3 2016 Classification of multi-source sensor data with limited labeled data MM Crawford, S Prasad, X Zhou, Z Zhang
Algorithms and Technologies for Multispectral, Hyperspectral, and …, 2015
3 2015 Out-of-the-box channel pruned networks R Venkatesan, G Swaminathan, X Zhou, A Luo
arXiv preprint arXiv:2004.14584, 2020
2 2020 
Saurabh PrasadProfessor, University of HoustonZweryfikowany adres z central.uh.edu