MLSP-52.3
LEARNING TO INTEGRATE VISION DATA INTO ROAD NETWORK DATA
Oliver Stromann, Linköping University, Scania CV AB, Sweden; Alireza Razavi, Scania CV AB, Sweden; Michael Felsberg, Linköping University, Sweden
Session:
Multimodal Data Fusion and Processing
Track:
Machine Learning for Signal Processing
Location:
Gather Area H
Presentation Time:
Fri, 13 May, 21:00 - 21:45 China Time (UTC +8)
Fri, 13 May, 13:00 - 13:45 UTC
Fri, 13 May, 13:00 - 13:45 UTC
Session Chair:
Ha-Jin Yu, University of Seoul
Session MLSP-52
MLSP-52.1: MIXED IN TIME AND MODALITY: CURSE OR BLESSING? CROSS-INSTANCE DATA AUGMENTATION FOR WEAKLY SUPERVISED MULTIMODAL TEMPORAL FUSION
Yonggang Zhu, Beijing University of Posts and Telecommunications, Peking University, China; Chao Tian, China Xi'an Satellite Control Center, China; Zhuqing Jiang, Aidong Men, Haiying Wang, Beijing University of Posts and Telecommunications, China; Qingchao Chen, Peking University, China
MLSP-52.2: MTAF: SHOPPING GUIDE MICRO-VIDEOS POPULARITY PREDICTION USING MULTIMODAL AND TEMPORAL ATTENTION FUSION APPROACH
Ningrui Ou, Li Yu, Huiyuan Li, Qihan Du, Junyao Xiang, Wei Gong, Renmin University of China, China
MLSP-52.3: LEARNING TO INTEGRATE VISION DATA INTO ROAD NETWORK DATA
Oliver Stromann, Linköping University, Scania CV AB, Sweden; Alireza Razavi, Scania CV AB, Sweden; Michael Felsberg, Linköping University, Sweden
MLSP-52.4: Hierarchical Signal Fusion Network for Pulsar Detection with Phase-Correlation and Signal Attentions
Huajian Wu, Mingmin Chi, Fudan University, China
MLSP-52.5: RECOGNITION OF SILENTLY SPOKEN WORD FROM EEG SIGNALS USING DENSE ATTENTION NETWORK (DAN).
Sahil Datta, Akuha Aondoakaa, Jorunn Jo Holmberg, Elena Antonova, Brunel University London, United Kingdom of Great Britain and Northern Ireland
MLSP-52.6: MULTIMODAL DATA FUSION IN HIGH-DIMENSIONAL HETEROGENEOUS DATASETS VIA GENERATIVE MODELS
Mehmet Aktukmat, Alfred Hero, University of Michigan, United States of America; Yasin Yilmaz, Uniersity of South Florida, United States of America