Aneesh Rangnekar

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 21

Top Topics

Semantic Segmentation

Vehicle Tracking

Cancer Treatment

Top Venues

IEEE Trans. Geosci. Remote. Sens.

Publications

Aneesh Rangnekar, Nishant Nadkarni, Jue Jiang, Harini Veeraraghavan
Trustworthiness of Pretrained Transformers for Lung Cancer Segmentation. CoRR (2024)
Jue Jiang, Aneesh Rangnekar, Harini Veeraraghavan
Self-supervised learning improves robustness of deep learning lung tumor segmentation to CT imaging differences. CoRR (2024)
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 (2024)
Aneesh Rangnekar, Christopher Kanan, Matthew J. Hoffman
Semantic Segmentation with Active Semi-Supervised Learning. WACV (2023)
Aneesh Rangnekar, Jue Jiang, Harini Veeraraghavan
3D Swin Transformer for Partial Medical Auto Segmentation. FLARE@MICCAI (2023)
Aneesh Rangnekar, Christopher Kanan, Matthew J. Hoffman
Semantic Segmentation with Active Semi-Supervised Representation Learning. CoRR (2022)
Aneesh Rangnekar, Christopher Kanan, Matthew J. Hoffman
Semantic Segmentation with Active Semi-Supervised Representation Learning. BMVC (2022)
Aneesh Rangnekar, Emmett J. Ientilucci, Christopher Kanan, Matthew J. Hoffman
SpecAL: Towards Active Learning for Semantic Segmentation of Hyperspectral Imagery. DDDAS (2022)
Aneesh Rangnekar, Zachary Mulhollan, Anthony Vodacek, Matthew J. Hoffman, Angel 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)
Aneesh Rangnekar, Christopher Kanan, Matthew J. Hoffman
Semantic Segmentation with Active Semi-Supervised Learning. CoRR (2022)
Aneesh Rangnekar, Emmett J. Ientilucci, Christopher Kanan, Matthew J. Hoffman
Uncertainty Estimation for Semantic Segmentation of Hyperspectral Imagery. DDDAS (2020)
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) (2020)
Zachary Mulhollan, Aneesh Rangnekar, Anthony Vodacek, Matthew J. Hoffman
Occlusion Detection for Dynamic Adaptation. DDDAS (2020)
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)
Zachary Mulhollan, Aneesh Rangnekar, Timothy Bauch, Matthew J. Hoffman, Anthony Vodacek
Calibrated Vehicle Paint Signatures for Simulating Hyperspectral Imagery. CVPR Workshops (2020)
Aneesh Rangnekar, Nilay Mokashi, Emmett J. Ientilucci, Christopher Kanan, Matthew J. Hoffman
AeroRIT: A New Scene for Hyperspectral Image Analysis. CoRR (2019)
Burak Uzkent, Aneesh Rangnekar, Matthew J. Hoffman
Tracking in Aerial Hyperspectral Videos Using Deep Kernelized Correlation Filters. IEEE Trans. Geosci. Remote. Sens. 57 (1) (2019)
Burak Uzkent, Aneesh Rangnekar, Matthew J. Hoffman
Aerial Vehicle Tracking by Adaptive Fusion of Hyperspectral Likelihood Maps. CVPR Workshops (2017)
Burak Uzkent, Aneesh Rangnekar, Matthew J. Hoffman
Tracking in Aerial Hyperspectral Videos using Deep Kernelized Correlation Filters. CoRR (2017)
Aneesh Rangnekar, Nilay Mokashi, Emmett J. Ientilucci, Christopher Kanan, Matthew J. Hoffman
Aerial Spectral Super-Resolution using Conditional Adversarial Networks. CoRR (2017)
Burak Uzkent, Aneesh Rangnekar, Matthew J. Hoffman
Aerial Vehicle Tracking by Adaptive Fusion of Hyperspectral Likelihood Maps. CoRR (2017)