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19th IPAS 2021: Virtual Event
- Sos S. Agaian, Karen O. Egiazarian, Atanas P. Gotchev:
Image Processing: Algorithms and Systems XIX, Virtual Event, 11-28 January 2021. Society for Imaging Science and Technology 2021 - Artjoms Gorpincenko
, Geoffrey French, Michal Mackiewicz
:
Virtual Adversarial Training in Feature Space to Improve Unsupervised Video Domain Adaptation. - Ahmed M. Hamza, Mohamed Abdelazim, Abdelrahman Abdelazim, Djamel Ait-Boudaoud:
HEVC Rate-Distortion Optimization with Source Modeling. - Jingning Han, Paul Wilkins, Yaowu Xu:
A Polar Coordinate Perspective on Motion Search in Video Coding. - Oliver Tamas Kocsis, Tunç Alkanat, Egor Bondarev, Peter H. N. de With:
Real-Time Vehicle Orientation Classification and Viewpoint-Aware Vehicle Re-Identification. - Jarmo Koponen, Keijo Haataja, Pekka J. Toivanen:
Text Recognition of Cardboard Pharmaceutical Packages by Utilizing Machine Vision. - Zuzana Bílková, Michal Sorel:
Projection methods for finding intersection of two convex sets and their use in signal processing problems. - Andrii S. Rubel, Oleksii S. Rubel, Vladimir V. Lukin, Karen O. Egiazarian
:
Decision-making on image denoising expedience. - Oleksii S. Rubel, Rostyslav Tsekhmystro, Vladimir V. Lukin, Karen O. Egiazarian
:
Benchmark of Similar Blocks Search under Noisy Conditions. - Henglin Shi, Wei Peng
, Xin Liu, Guoying Zhao:
Graph Adversarial Learning for Noisy Skeleton-based Action Recognition. - Juan Wang, Liang Lei, Yongyi Yang:
Deep Learning Features for Discriminating Between Benign and Malignant Microcalcification Lesions. - Wencheng Wu, Beilei Xu, Edgar A. Bernal, Robert L. Hill, Danielle Desa, Edward B. Brown:
Breast Cancer Tissue Sub-Region Classification from Second Harmonic Generation Imagery via Machine Learning. - Ikuro Sato, Guoqing Liu, Kohta Ishikawa, Teppei Suzuki, Masayuki Tanaka:
Does End-to-End Trained Deep Model Always Perform Better than Non-End-to-End Counterpart? - Jun Fu, Chuanli Xiao, Jingyi Huang, Wenxue Peng, Xinpei Wang, Zhen Xu, Yanheng Wang, Min Liu, Xuanqin Mou:
FPGA-based Fast Algorithm of Correcting Saturated Pixel in Image.
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