83 citations · 128 across the 12 of their papers we have counts for
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cs.CV2020
ARMA Nets: Expanding Receptive Field for Dense Prediction
Jiahao Su, Shiqi Wang, Furong Huang
Global information is essential for dense prediction problems, whose goal is to compute a discrete or continuous label for each pixel in the images. Traditional convolutional layer…
cs.LG2020★ 83 cited
Convolutional Tensor-Train LSTM for Spatio-temporal Learning
Jiahao Su, Wonmin Byeon, Jean Kossaifi +3
Learning from spatio-temporal data has numerous applications such as human-behavior analysis, object tracking, video compression, and physics simulation.However, existing methods s…
cs.LG2020★ 11 cited
Understanding Generalization in Deep Learning via Tensor Methods
Jingling Li, Yanchao Sun, Jiahao Su +2
Deep neural networks generalize well on unseen data though the number of parameters often far exceeds the number of training examples. Recently proposed complexity measures have pr…