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Sam Hallman
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Layered object models for image segmentation
Y Yang, S Hallman, D Ramanan, CC Fowlkes
IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (9), 1731-1743, 2011
1912011
Oriented edge forests for boundary detection
S Hallman, CC Fowlkes
Proceedings of the IEEE conference on computer vision and pattern …, 2015
1672015
Layered object detection for multi-class segmentation
Y Yang, S Hallman, D Ramanan, C Fowlkes
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
1402010
Intermittent Stem Cell Cycling Balances Self-Renewal and Senescence of the C. elegans Germ Line
A Cinquin, M Chiang, A Paz, S Hallman, O Yuan, I Vysniauskaite, ...
PLoS genetics 12 (4), e1005985, 2016
252016
Detecting dynamic objects with multi-view background subtraction
R Diaz, S Hallman, CC Fowlkes
Proceedings of the IEEE International Conference on Computer Vision, 273-280, 2013
242013
Detecting and locating actors in scenes based on degraded or supersaturated depth data
SN Hallman, P Tsonev, MF O'malley, J Eledath, J Wang, T Lan
US Patent 10,915,783, 2021
232021
Analysis of in vivo single cell behavior by high throughput, human-in-the-loop segmentation of three-dimensional images
M Chiang, S Hallman, A Cinquin, NR de Mochel, A Paz, S Kawauchi, ...
BMC bioinformatics 16, 1-19, 2015
172015
Layered object models for image segmentation [J]
Y Yi, H Sam, R Deva, CF Charless
IEEE transactions on pattern analysis and machine intelligence 34 (9), 2012
32012
Locally and globally locating actors by digital cameras and machine learning
SN Hallman, T Lan, H Liang, GG Medioni, K Robert
US Patent 11,443,516, 2022
12022
Locally and globally locating actors by digital cameras and machine learning
KR Samuel Nathan Hallman, Tian Lan, Hui Liang, Gerard Guy Medioni
US Patent 11,398,094 B1, 2022
1*2022
Detecting and locating actors in scenes based on degraded or supersaturated depth data
SN Hallman, P Tsonev, MF O'malley, J Eledath, J Wang, T Lan
US Patent 11,657,595, 2023
2023
Detecting and locating actors in scenes based on degraded or supersaturated depth data
TL Samuel Nathan Hallman, Petko Tsonev, Michael Francis O'Malley ...
US Patent 10915783B1, 2021
2021
Learning to Detect and Segment Objects in Images
S Hallman
University of California, Irvine, 2015
2015
Multi-View Background Subtraction for Object Detection
R Diaz, S Hallman, CC Fowlkes
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