22 citations · 45 across the 11 of their papers we have counts for
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2 papers · 1 filter
cs.CV2014★ 3 cited
Collaborative Receptive Field Learning
Shu Kong, Zhuolin Jiang, Qiang Yang
The challenge of object categorization in images is largely due to arbitrary translations and scales of the foreground objects. To attack this difficulty, we propose a new approach…
cs.CV2014★ 3 cited
Learning Mid-Level Features and Modeling Neuron Selectivity for Image Classification
Shu Kong, Zhuolin Jiang, Qiang Yang
We now know that mid-level features can greatly enhance the performance of image learning, but how to automatically learn the image features efficiently and in an unsupervised mann…