Stavness, Ian

16 publications

CVPRW 2025 A Semi-Self-Supervised Approach for Dense-Pattern Video Object Segmentation Keyhan Najafian, Farhad Maleki, Lingling Jin, Ian Stavness

ICCVW 2023 Detection of Fusarium Damaged Kernels in Wheat Using Deep Semi-Supervised Learning on a Novel WheatSeedBelt Dataset Keyhan Najafian, Lingling Jin, H. Randy Kutcher, Mackenzie Hladun, Samuel Horovatin, Maria Alejandra Oviedo-Ludena, Sheila Maria Pereira De Andrade, Lipu Wang, Ian Stavness

ICCVW 2023 Weed Mapping with Convolutional Neural Networks on High Resolution Whole-Field Images Yuemin Wang, Thuan Ha, Kathryn Aldridge, Hema Sudhakar Duddu, Steve Shirtliffe, Ian Stavness

ICLR 2022 Extending the WILDS Benchmark for Unsupervised Adaptation Shiori Sagawa, Pang Wei Koh, Tony Lee, Irena Gao, Sang Michael Xie, Kendrick Shen, Ananya Kumar, Weihua Hu, Michihiro Yasunaga, Henrik Marklund, Sara Beery, Etienne David, Ian Stavness, Wei Guo, Jure Leskovec, Kate Saenko, Tatsunori Hashimoto, Sergey Levine, Chelsea Finn, Percy Liang

ICCVW 2021 A Semi-Self-Supervised Learning Approach for Wheat Head Detection Using Extremely Small Number of Labeled Samples Keyhan Najafian, Alireza Ghanbari, Ian Stavness, Lingling Jin, Gholam Hassan Shirdel, Farhad Maleki

NeurIPSW 2021 Extending the WILDS Benchmark for Unsupervised Adaptation Shiori Sagawa, Pang Wei Koh, Tony Lee, Irena Gao, Sang Michael Xie, Kendrick Shen, Ananya Kumar, Weihua Hu, Michihiro Yasunaga, Henrik Marklund, Sara Beery, Etienne David, Ian Stavness, Wei Guo, Jure Leskovec, Kate Saenko, Tatsunori Hashimoto, Sergey Levine, Chelsea Finn, Percy Liang

ICCVW 2021 From RGB to NIR: Predicting of near Infrared Reflectance from Visible Spectrum Aerial Images of Crops Masoomeh Aslahishahri, Kevin G. Stanley, Hema Sudhakar Duddu, Steve Shirtliffe, Sally Vail, Kirstin E. Bett, Curtis Pozniak, Ian Stavness

ICCVW 2021 Visualizing Feature Maps for Model Selection in Convolutional Neural Networks Sakib Mostafa, Debajyoti Mondal, Michael A. Beck, Christopher P. Bidinosti, Christopher J. Henry, Ian Stavness

ECCVW 2020 AutoCount: Unsupervised Segmentation and Counting of Organs in Field Images Jordan R. Ubbens, Tewodros W. Ayalew, Steve Shirtliffe, Anique Josuttes, Curtis Pozniak, Ian Stavness

ECCVW 2020 Unsupervised Domain Adaptation for Plant Organ Counting Tewodros W. Ayalew, Jordan R. Ubbens, Ian Stavness

CVPRW 2019 Crop Lodging Prediction from UAV-Acquired Images of Wheat and Canola Using a DCNN Augmented with Handcrafted Texture Features Sara Mardanisamani, Farhad Maleki, Sara Hosseinzadeh Kassani, Sajith Rajapaksa, Hema Sudhakar Duddu, Menglu Wang, Steve Shirtliffe, Seungbum Ryu, Anique Josuttes, Ti Zhang, Sally Vail, Curtis Pozniak, Isobel Parkin, Ian Stavness, Mark G. Eramian

CVPRW 2019 Global Sum Pooling: A Generalization Trick for Object Counting with Small Datasets of Large Images Shubhra Aich, Ian Stavness

CVPRW 2019 ProTractor: A Lightweight Ground Imaging and Analysis System for Early-Season Field Phenotyping Nico Higgs, Blanche Leyeza, Jordan R. Ubbens, Josh Kocur, William van der Kamp, Theron Cory, Christina Eynck, Sally Vail, Mark G. Eramian, Ian Stavness

WACV 2018 DeepWheat: Estimating Phenotypic Traits from Crop Images with Deep Learning Shubhra Aich, Anique Josuttes, Ilya Ovsyannikov, Keegan Strueby, Imran Ahmed, Hema Sudhakar Duddu, Curtis Pozniak, Steve Shirtliffe, Ian Stavness

CVPRW 2018 Semantic Binary Segmentation Using Convolutional Networks Without Decoders Shubhra Aich, William van der Kamp, Ian Stavness

ICCVW 2017 Leaf Counting with Deep Convolutional and Deconvolutional Networks Shubhra Aich, Ian Stavness