115 citations · 373 across the 49 of their papers we have counts for
4 papers · 1 filter
Joint Learning of Set Cardinality and State Distribution
S. Hamid Rezatofighi, Anton Milan, Qinfeng Shi +2
We present a novel approach for learning to predict sets using deep learning. In recent years, deep neural networks have shown remarkable results in computer vision, natural langua…
Beyond Low Rank: A Data-Adaptive Tensor Completion Method
Lei Zhang, Wei Wei, Qinfeng Shi +3
Low rank tensor representation underpins much of recent progress in tensor completion. In real applications, however, this approach is confronted with two challenging problems, nam…
Bayesian Conditional Generative Adverserial Networks
M. Ehsan Abbasnejad, Qinfeng Shi, Iman Abbasnejad +2
Traditional GANs use a deterministic generator function (typically a neural network) to transform a random noise input to a sample that the discriminator seeks to…
Efficient Dense Labeling of Human Activity Sequences from Wearables using Fully Convolutional Networks
Rui Yao, Guosheng Lin, Qinfeng Shi +1
Recognizing human activities in a sequence is a challenging area of research in ubiquitous computing. Most approaches use a fixed size sliding window over consecutive samples to ex…