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ORCIDAneesh Rangnekar
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2020 – today
- 2024
[i9]Aneesh Rangnekar, Nishant Nadkarni, Jue Jiang, Harini Veeraraghavan:
Trustworthiness of Pretrained Transformers for Lung Cancer Segmentation. CoRR abs/2403.13113 (2024)- [i8]Jorge Tapias Gomez, Aneesh Rangnekar, Hannah Williams, Hannah Thompson, Julio Garcia-Aguilar, Joshua Jesse Smith, Harini Veeraraghavan:
Deep learning classifier of locally advanced rectal cancer treatment response from endoscopy images. CoRR abs/2405.03762 (2024) - [i7]Jue Jiang, Aneesh Rangnekar, Harini Veeraraghavan:
Self-supervised learning improves robustness of deep learning lung tumor segmentation to CT imaging differences. CoRR abs/2405.08657 (2024) - 2023
- [c10]Aneesh Rangnekar
, Jue Jiang, Harini Veeraraghavan:
3D Swin Transformer for Partial Medical Auto Segmentation. FLARE@MICCAI 2023: 222-235 - [c9]Aneesh Rangnekar, Christopher Kanan, Matthew J. Hoffman:
Semantic Segmentation with Active Semi-Supervised Learning. WACV 2023: 5955-5966 - 2022
- [c8]Aneesh Rangnekar, Christopher Kanan, Matthew J. Hoffman:
Semantic Segmentation with Active Semi-Supervised Representation Learning. BMVC 2022: 229 - [c7]Aneesh Rangnekar, Zachary Mulhollan, Anthony Vodacek, Matthew J. Hoffman, Ángel D. Sappa, Erik Blasch, Jun Yu, Liwen Zhang, Shenshen Du, Hao Chang, Keda Lu, Zhong Zhang, Fang Gao, Ye Yu, Feng Shuang, Lei Wang, Qiang Ling, Pranjay Shyam, Kuk-Jin Yoon, Kyung-Soo Kim:
Semi-Supervised Hyperspectral Object Detection Challenge Results - PBVS 2022. CVPR Workshops 2022: 389-397 - [c6]Aneesh Rangnekar, Emmett J. Ientilucci, Christopher Kanan, Matthew J. Hoffman:
SpecAL: Towards Active Learning for Semantic Segmentation of Hyperspectral Imagery. DDDAS 2022: 196-204 - [i6]Aneesh Rangnekar, Christopher Kanan, Matthew J. Hoffman:
Semantic Segmentation with Active Semi-Supervised Learning. CoRR abs/2203.10730 (2022) - [i5]Aneesh Rangnekar, Christopher Kanan, Matthew J. Hoffman:
Semantic Segmentation with Active Semi-Supervised Representation Learning. CoRR abs/2210.08403 (2022) - 2020
- [j2]Aneesh Rangnekar, Nilay Mokashi, Emmett J. Ientilucci, Christopher Kanan, Matthew J. Hoffman:
AeroRIT: A New Scene for Hyperspectral Image Analysis. IEEE Trans. Geosci. Remote. Sens. 58(11): 8116-8124 (2020) - [c5]Zachary Mulhollan, Aneesh Rangnekar, Timothy D. Bauch, Matthew J. Hoffman, Anthony Vodacek:
Calibrated Vehicle Paint Signatures for Simulating Hyperspectral Imagery. CVPR Workshops 2020: 498-506 - [c4]Aneesh Rangnekar, Emmett J. Ientilucci, Christopher Kanan, Matthew J. Hoffman:
Uncertainty Estimation for Semantic Segmentation of Hyperspectral Imagery. DDDAS 2020: 163-170 - [c3]Zachary Mulhollan, Aneesh Rangnekar, Anthony Vodacek, Matthew J. Hoffman:
Occlusion Detection for Dynamic Adaptation. DDDAS 2020: 337-344 - [c2]Aneesh Rangnekar, Yi Yao, Matthew J. Hoffman, Ajay Divakaran:
Fine-Tuning for One-Look Regression Vehicle Counting in Low-Shot Aerial Datasets. ICPR Workshops (8) 2020: 5-18
2010 – 2019
- 2019
- [j1]Burak Uzkent, Aneesh Rangnekar, Matthew J. Hoffman:
Tracking in Aerial Hyperspectral Videos Using Deep Kernelized Correlation Filters. IEEE Trans. Geosci. Remote. Sens. 57(1): 449-461 (2019) - [i4]Aneesh Rangnekar, Nilay Mokashi, Emmett J. Ientilucci, Christopher Kanan, Matthew J. Hoffman:
AeroRIT: A New Scene for Hyperspectral Image Analysis. CoRR abs/1912.08178 (2019) - 2017
- [c1]Burak Uzkent, Aneesh Rangnekar, Matthew J. Hoffman:
Aerial Vehicle Tracking by Adaptive Fusion of Hyperspectral Likelihood Maps. CVPR Workshops 2017: 233-242 - [i3]Burak Uzkent, Aneesh Rangnekar, Matthew J. Hoffman:
Aerial Vehicle Tracking by Adaptive Fusion of Hyperspectral Likelihood Maps. CoRR abs/1707.03553 (2017) - [i2]Burak Uzkent, Aneesh Rangnekar, Matthew J. Hoffman:
Tracking in Aerial Hyperspectral Videos using Deep Kernelized Correlation Filters. CoRR abs/1711.07235 (2017) - [i1]Aneesh Rangnekar, Nilay Mokashi, Emmett J. Ientilucci, Christopher Kanan, Matthew J. Hoffman:
Aerial Spectral Super-Resolution using Conditional Adversarial Networks. CoRR abs/1712.08690 (2017)
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