2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information
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MMSP-1: Multimedia Signal Processing

Session Type: Poster
Time: Tuesday, 8 June, 14:00 - 14:45
Location: Gather.Town
Session Chair: João Ascenso, Instituto Superior Técnico
 
   MMSP-1.1: ATVIO: ATTENTION GUIDED VISUAL-INERTIAL ODOMETRY
         Li Liu; Peking University Shenzhen Graduate School
         Ge Li; Peking University Shenzhen Graduate School
         Thomas H Li; Peking University
 
   MMSP-1.2: FEATURE INTEGRATION VIA SEMI-SUPERVISED ORDINALLY MULTI-MODAL GAUSSIAN PROCESS LATENT VARIABLE MODEL
         Kyohei Kamikawa; Hokkaido University
         Keisuke Maeda; Hokkaido University
         Takahiro Ogawa; Hokkaido University
         Miki Haseyama; Hokkaido University
 
   MMSP-1.3: A MULTI-LAYER MULTI-CHANNEL ATTENTIVE NETWORK FOR GENDER AND AGE RECOGNITION
         Jia Chen; Beihang University
         Haiping Yu; Beihang University
         Yimei Kang; Beihang University
 
   MMSP-1.4: EFFECT OF LANGUAGE PROFICIENCY ON SUBJECTIVE EVALUATION OF NOISE SUPPRESSION ALGORITHMS
         Babak Naderi; Technische Universität Berlin
         Gabriel Mittag; Technische Universität Berlin
         Rafael Zequeira Jiménez; Technische Universität Berlin
         Sebastian Möller; Technische Universität Berlin, Deutsches Forschungszentrum für Künstliche Intelligenz
 
   MMSP-1.5: MELODY HARMONIZATION USING ORDERLESS NADE, CHORD BALANCING, AND BLOCKED GIBBS SAMPLING
         Chung-En Sun; Institute of Information Science, Academia Sinica
         Yi-Wei Chen; Institute of Information Science, Academia Sinica
         Hung-Shin Lee; Institute of Information Science, Academia Sinica
         Yen-Hsing Chen; Institute of Information Science, Academia Sinica
         Hsin-Min Wang; Institute of Information Science, Academia Sinica
 
  MMSP-1.6: LARGE DATABASE COMPRESSION BASED ON PERCEIVED INFORMATION
         Thomas Maugey; Inria
         Laura Toni; University College London