Rangnekar, Aneesh

6 publications

TMLR 2026 Tumor-Anchored Deep Feature Random Forests for Out-of-Distribution Detection in Lung Cancer Segmentation Aneesh Rangnekar, Harini Veeraraghavan

MIDL 2025 Co-Distilled Attention Guided Masked Image Modeling with Noisy Teacher for Self-Supervised Learning on Medical Images Jue Jiang, Aneesh Rangnekar, Harini Veeraraghavan

WACV 2023 Semantic Segmentation with Active Semi-Supervised Learning Aneesh Rangnekar, Christopher Kanan, Matthew Hoffman

CVPRW 2022 Semi-Supervised Hyperspectral Object Detection Challenge Results - PBVS 2022 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

CVPRW 2020 Calibrated Vehicle Paint Signatures for Simulating Hyperspectral Imagery Zachary Mulhollan, Aneesh Rangnekar, Timothy D. Bauch, Matthew J. Hoffman, Anthony Vodacek

CVPRW 2017 Aerial Vehicle Tracking by Adaptive Fusion of Hyperspectral Likelihood Maps Burak Uzkent, Aneesh Rangnekar, Matthew J. Hoffman