MLSP-33.3
Gradient-weighted Class Activation Mapping for spatio temporal graph convolutional network
Pratyusha Das, Antonio Ortega, University of Southern California, United States of America
Session:
Deep Learning II
Track:
Machine Learning for Signal Processing
Location:
Gather Area F
Presentation Time:
Wed, 11 May, 21:00 - 21:45 China Time (UTC +8)
Wed, 11 May, 13:00 - 13:45 UTC
Wed, 11 May, 13:00 - 13:45 UTC
Session Chair:
Chunlei Zhang, Tencent AI Lab
Session MLSP-33
MLSP-33.1: MEMORY-BASED MESSAGE PASSING: DECOUPLING THE MESSAGE FOR PROPAGATION FROM DISCRIMINATION
Jie Chen, Weiqi Liu, Jian Pu, Fudan University, China
MLSP-33.2: PEAR: Photographic Embedding for Aesthetic Rating
Hao Wu, Jiangchao Yao, Alibaba Group, China
MLSP-33.3: Gradient-weighted Class Activation Mapping for spatio temporal graph convolutional network
Pratyusha Das, Antonio Ortega, University of Southern California, United States of America
MLSP-33.4: DEEP LEARNING BASED OFF-ANGLE IRIS RECOGNITION
Ehsaneddin Jalilian, Georg Wimmer, Andreas Uhl, University of Salzburg, Austria; Mahmut Karakaya, Kennesaw State University, United States of America
MLSP-33.5: Towards Robust Visual Transformer Networks via K-Sparse Attention
Sajjad Amini, Shahrokh Ghaemmaghami, Sharif University of Technology, Iran (Islamic Republic of)
MLSP-33.6: A Global to Local Guiding Network for Missing Data Imputation
Wei Wang, Yimeng Chai, Yue Li, nankai university, China