2 citations · 3 across the 2 of their papers we have counts for
6 papers
Gradient Concealment: Free Lunch for Defending Adversarial Attacks
Sen Pei, Jiaxi Sun, Xiaopeng Zhang +1
Recent studies show that the deep neural networks (DNNs) have achieved great success in various tasks. However, even the \emph{state-of-the-art} deep learning based classifiers are…
Deep Deformation Detail Synthesis for Thin Shell Models
Lan Chen, Lin Gao, Jie Yang +4
In physics-based cloth animation, rich folds and detailed wrinkles are achieved at the cost of expensive computational resources and huge labor tuning. Data-driven techniques make…
Circumventing Outliers of AutoAugment with Knowledge Distillation
Longhui Wei, An Xiao, Lingxi Xie +3
AutoAugment has been a powerful algorithm that improves the accuracy of many vision tasks, yet it is sensitive to the operator space as well as hyper-parameters, and an improper se…
MGCN: Descriptor Learning using Multiscale GCNs
Yiqun Wang, Jing Ren, Dong-Ming Yan +3
We propose a novel framework for computing descriptors for characterizing points on three-dimensional surfaces. First, we present a new non-learned feature that uses graph wavelets…
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…