Follow
Sam Hallman
Title
Cited by
Cited by
Year
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
1822011
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
1312010
Oriented edge forests for boundary detection
S Hallman, CC Fowlkes
Proceedings of the IEEE conference on computer vision and pattern …, 2015
1302015
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
232016
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
222013
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), 1-19, 2015
162015
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
72021
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
2022
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
2022
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
The system can't perform the operation now. Try again later.
Articles 1–13