604 citations · 2k across the 82 of their papers we have counts for
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cs.CV2019
Sparse Coding on Cascaded Residuals
Tong Zhang, Fatih Porikli
This paper seeks to combine dictionary learning and hierarchical image representation in a principled way. To make dictionary atoms capturing additional information from extended r…
cs.LG2019
MAP Inference via L2-Sphere Linear Program Reformulation
Baoyuan Wu, Li Shen, Tong Zhang +1
Maximum a posteriori (MAP) inference is an important task for graphical models. Due to complex dependencies among variables in realistic model, finding an exact solution for MAP in…
cs.CV2019★ 80 cited
Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning
Baoyuan Wu, Weidong Chen, Yanbo Fan +4
In existing visual representation learning tasks, deep convolutional neural networks (CNNs) are often trained on images annotated with single tags, such as ImageNet. However, a sin…