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Aneesh Rangnekar
Aneesh Rangnekar
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Title
Cited by
Cited by
Year
Aerial vehicle tracking by adaptive fusion of hyperspectral likelihood maps
B Uzkent, A Rangnekar, M Hoffman
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
942017
Tracking in aerial hyperspectral videos using deep kernelized correlation filters
B Uzkent, A Rangnekar, MJ Hoffman
IEEE Transactions on Geoscience and Remote Sensing 57 (1), 449-461, 2018
932018
Aerorit: A new scene for hyperspectral image analysis
A Rangnekar, N Mokashi, EJ Ientilucci, C Kanan, MJ Hoffman
IEEE Transactions on Geoscience and Remote Sensing 58 (11), 8116-8124, 2020
422020
Aerial spectral super-resolution using conditional adversarial networks
A Rangnekar, N Mokashi, E Ientilucci, C Kanan, M Hoffman
arXiv preprint arXiv:1712.08690, 2017
242017
Semantic segmentation with active semi-supervised learning
A Rangnekar, C Kanan, M Hoffman
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
182023
Uncertainty estimation for semantic segmentation of hyperspectral imagery
A Rangnekar, E Ientilucci, C Kanan, MJ Hoffman
Dynamic Data Driven Applications Systems: Third International Conference …, 2020
52020
Semi-supervised hyperspectral object detection challenge results-PBVS 2022
A Rangnekar, Z Mulhollan, A Vodacek, M Hoffman, AD Sappa, E Blasch, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
42022
Semantic Segmentation with Active Semi-Supervised Representation Learning
A Rangnekar, C Kanan, M Hoffman
33rd British Machine Vision Conference 2022, BMVC 2022, London, UK, November …, 2022
22022
Learning representations to predict landslide occurrences and detect illegal mining across multiple domains
A Rangnekar, M Hoffman
Proceedings of the 36th International Conference on Machine Learning, Long …, 2019
22019
Learning Representations in the Hyperspectral Domain in Aerial Imagery
AP Rangnekar
Rochester Institute of Technology, 2022
12022
Occlusion detection for dynamic adaptation
Z Mulhollan, A Rangnekar, A Vodacek, MJ Hoffman
Dynamic Data Driven Applications Systems: Third International Conference …, 2020
12020
Trustworthiness of Pretrained Transformers for Lung Cancer Segmentation
A Rangnekar, N Nadkarni, J Jiang, H Veeraraghavan
arXiv preprint arXiv:2403.13113, 2024
2024
SpecAL: Towards Active Learning for Semantic Segmentation of Hyperspectral Imagery
A Rangnekar, E Ientilucci, C Kanan, MJ Hoffman
Dynamic Data Driven Applications Systems, Fourth International Conference …, 2024
2024
Do different self-supervised learning tasks for medical imaging result in better downstreaming performance?
A Rangnekar, J Jiang, Y Lakhman, H Veeraraghavan
2023
3D Swin Transformer for Partial Medical Auto Segmentation
A Rangnekar, J Jiang, H Veeraraghavan
MICCAI 2023 FLARE Challenge, 2023
2023
DDDAS-Based Remote Sensing
MJ Hoffman, A Rangnekar, Z Mulhollan, A Vodacek
Handbook of Dynamic Data Driven Applications Systems: Volume 2, 553-575, 2023
2023
Hyperspectral Camera Characterization of System Spectral Radiance Error for Spectral Identification of Reflective Objects Using Aerial Imagery
Z Mulhollan, D McKeown, A Rangnekar, A Vodacek, M Hoffman
AGU Fall Meeting Abstracts 2021, A55P-1621, 2021
2021
Fine-tuning for one-look regression vehicle counting in low-shot aerial datasets
A Rangnekar, Y Yao, M Hoffman, A Divakaran
Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021
2021
Calibrated Vehicle Paint Signatures for Simulating Hyperspectral Imagery
Z Mulhollan, A Rangnekar, T Bauch, MJ Hoffman, A Vodacek
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
2020
Interpolating pixel values
A Rangnekar, P Bauer, BM Bradburn, M Shaw, E Saber, S Moudgalya
US Patent App. 15/761,959, 2018
2018
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