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Josh Myers-dean
Josh Myers-dean
Верификована је имејл адреса на colorado.edu - Почетна страница
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Година
Towards modeling student engagement with interactive computing textbooks: An empirical study
DH Smith IV, Q Hao, CD Hundhausen, F Jagodzinski, J Myers-Dean, ...
Proceedings of the 52nd ACM Technical Symposium on Computer Science …, 2021
242021
Generalized few-shot semantic segmentation: All you need is fine-tuning
J Myers-Dean, Y Zhao, B Price, S Cohen, D Gurari
arXiv preprint arXiv:2112.10982, 2021
162021
Semantic pixel distances for image editing
J Myers-Dean, S Wehrwein
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
62020
Domain Analysis and Motif Matcher (DAMM): A Program to Predict Selectivity Determinants in Monosiga brevicollis PDZ Domains Using Human PDZ Data
HA Wofford, J Myers-Dean, BA Vogel, KAE Alamo, FA Longshore-Neate, ...
Molecules 26 (19), 6034, 2021
32021
SPIN: Hierarchical Segmentation with Subpart Granularity in Natural Images
J Myers-Dean, J Reynolds, B Price, Y Fan, D Gurari
European Conference on Computer Vision, 2024
12024
Interactive segmentation for diverse gesture types without context
J Myers-Dean, Y Fan, B Price, W Chan, D Gurari
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
12024
Computer vision for international border legibility
T Ortega, T Nelson, S Crane, J Myers-Dean, S Wehrwein
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
12023
PETRA: Drug Engineering via Rigidity Analysis
S Herr, J Myers-Dean, H Read, F Jagodzinski
Molecules 25 (6), 1304, 2020
12020
Generating masked regions of an image using a predicted user intent
B Price, Y Fan, J Myers-Dean
2024
Interpreting COVID Lateral Flow Tests' Results with Foundation Models
S Pandey, J Myers-Dean, J Reynolds, D Gurari
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
2024
Reinforcement Learning for Firm Power Tracking in Wind Farms
A Henry, J Myers-Dean, M Sinner, J Koh, A Roncone, J King, L Pao
Interactive Segmentation for Diverse Gesture Types Without Context-Supplementary Materials
J Myers-Dean, Y Fan, B Price, W Chan, D Gurari
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