13 citations · 15 across the 2 of their papers we have counts for
4 papers
Knowledge Squeezed Adversarial Network Compression
Shu Changyong, Li Peng, Xie Yuan +3
Deep network compression has been achieved notable progress via knowledge distillation, where a teacher-student learning manner is adopted by using predetermined loss. Recently, mo…
Hardware-Efficient Guided Image Filtering For Multi-Label Problem
Longquan Dai, Mengke Yuan, Zechao Li +2
The Guided Filter (GF) is well-known for its linear complexity. However, when filtering an image with an n-channel guidance, GF needs to invert an n x n matrix for each pixel. To t…
Speeding Up the Bilateral Filter: A Joint Acceleration Way
Longquan Dai, Mengke Yuan, Xiaopeng Zhang
Computational complexity of the brute-force implementation of the bilateral filter (BF) depends on its filter kernel size. To achieve the constant-time BF whose complexity is irrel…
Interpreting and Extending The Guided Filter Via Cyclic Coordinate Descent
Longquan Dai
In this paper, we will disclose that the Guided Filter (GF) can be interpreted as the Cyclic Coordinate Descent (CCD) solver of a Least Square (LS) objective function. This discove…