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Jeffrey Zhang
Jeffrey Zhang
Bestätigte E-Mail-Adresse bei illinois.edu
Titel
Zitiert von
Zitiert von
Jahr
Fully automated echocardiogram interpretation in clinical practice: feasibility and diagnostic accuracy
J Zhang, S Gajjala, P Agrawal, GH Tison, LA Hallock, L Beussink-Nelson, ...
Circulation 138 (16), 1623-1635, 2018
8172018
Memory-Efficient Incremental Learning Through Feature Adaptation
A Iscen, J Zhang, S Lazebnik, C Schmid
ECCV 2020, 2020
1872020
Automated and interpretable patient ECG profiles for disease detection, tracking, and discovery
GH Tison, J Zhang, FN Delling, RC Deo
Circulation: Cardiovascular Quality and Outcomes 12 (9), e005289, 2019
1672019
Toward accurate and realistic outfits visualization with attention to details
K Li, MJ Chong, J Zhang, J Liu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
472021
An end-to-end computer vision pipeline for automated cardiac function assessment by echocardiography
RC Deo, J Zhang, LA Hallock, S Gajjala, L Nelson, E Fan, MA Aras, ...
CoRR, 2017
122017
POVNet: Image-based virtual try-on through accurate warping and residual
K Li, J Zhang, D Forsyth
IEEE transactions on pattern analysis and machine intelligence 45 (10 …, 2023
72023
Preserving Image Properties Through Initializations in Diffusion Models
J Zhang, SY Chang, K Li, D Forsyth
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
32024
Controlling Virtual Try-on Pipeline Through Rendering Policies
K Li, J Zhang, SY Chang, D Forsyth
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
2*2024
ACDG-VTON: Accurate and Contained Diffusion Generation for Virtual Try-On
J Zhang, K Li, SY Chang, D Forsyth
arXiv preprint arXiv:2403.13951, 2024
12024
Automated cardiac function assessment by echocardiography
RC Deo, J Zhang
US Patent US11950961B2, 2024
2024
Controllable image-based virtual try-on system
K Li, J Zhang
US Patent US20230086880A1, 2023
2023
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