TY  - GEN
N2  - This book constitutes the refereed post-conference proceedings of four workshops held at the 15th Asian Conference on Computer Vision, ACCV 2020, which was held in Kyoto, Japan, in November/ December 2020.* The 13 papers were carefully reviewed and selected from the following two workshops: Machine Learning and Computing for Visual Semantic Analysis (MLCSA) and Multi-Visual-Modality Human Activity Understanding (MMHAU). *The conference and workshops were held virtually.
DO  - 10.1007/978-3-030-69756-3
DO  - doi
AB  - This book constitutes the refereed post-conference proceedings of four workshops held at the 15th Asian Conference on Computer Vision, ACCV 2020, which was held in Kyoto, Japan, in November/ December 2020.* The 13 papers were carefully reviewed and selected from the following two workshops: Machine Learning and Computing for Visual Semantic Analysis (MLCSA) and Multi-Visual-Modality Human Activity Understanding (MMHAU). *The conference and workshops were held virtually.
T1  - Computer vision - ACCV 2020 workshops :15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020 : revised selected papers /
AU  - Sato, Imari,
AU  - Han, Bohyung,
VL  - 12628
CN  - TA1634
N1  - International conference proceedings.
N1  - Includes author index.
ID  - 1434629
KW  - Computer vision
KW  - Optical data processing.
KW  - Artificial intelligence.
KW  - Computers.
KW  - Pattern perception.
KW  - Application software.
KW  - Vision par ordinateur
KW  - Traitement optique de l'information.
KW  - Intelligence artificielle.
KW  - Ordinateurs.
KW  - Perception des structures.
KW  - Logiciels d'application.
SN  - 9783030697563
SN  - 3030697568
SN  - 9783030697570
SN  - 3030697576
TI  - Computer vision - ACCV 2020 workshops :15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020 : revised selected papers /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-69756-3
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-69756-3
ER  -