99 citations · 106 across the 4 of their papers we have counts for
4 papers
Learning to Represent and Predict Sets with Deep Neural Networks
Yan Zhang
In this thesis, we develop various techniques for working with sets in machine learning. Each input or output is not an image or a sequence, but a set: an unordered collection of m…
Semantic Change Pattern Analysis
Wensheng Cheng, Yan Zhang, Xu Lei +2
Change detection is an important problem in vision field, especially for aerial images. However, most works focus on traditional change detection, i.e., where changes happen, witho…
Learning Reinforced Attentional Representation for End-to-End Visual Tracking
Peng Gao, Qiquan Zhang, Fei Wang +3
Although numerous recent tracking approaches have made tremendous advances in the last decade, achieving high-performance visual tracking remains a challenge. In this paper, we pro…
Truncating Wide Networks using Binary Tree Architectures
Yan Zhang, Mete Ozay, Shuohao Li +1
Recent study shows that a wide deep network can obtain accuracy comparable to a deeper but narrower network. Compared to narrower and deeper networks, wide networks employ relative…