129 citations · 742 across the 38 of their papers we have counts for
7 papers · 1 filter
Improved Network Robustness with Adversary Critic
Alexander Matyasko, Lap-Pui Chau
Ideally, what confuses neural network should be confusing to humans. However, recent experiments have shown that small, imperceptible perturbations can change the network predictio…
Haze Density Estimation via Modeling of Scattering Coefficients of Iso-depth Regions
Jie Chen, Cheen-Hau Tan, Lap-Pui Chau
Vision based haze density estimation is of practical implications for the purpose of precaution alarm and emergency reactions toward disastrous hazy weathers. In this paper, we int…
Light Field Denoising via Anisotropic Parallax Analysis in a CNN Framework
Jie Chen, Junhui Hou, Lap-Pui Chau
Light field (LF) cameras provide perspective information of scenes by taking directional measurements of the focusing light rays. The raw outputs are usually dark with additive cam…
Remote Detection of Idling Cars Using Infrared Imaging and Deep Networks
Muhammet Bastan, Kim-Hui Yap, Lap-Pui Chau
Idling vehicles waste energy and pollute the environment through exhaust emission. In some countries, idling a vehicle for more than a predefined duration is prohibited and automat…
Robust Video Content Alignment and Compensation for Clear Vision Through the Rain
Jie Chen, Cheen-Hau Tan, Junhui Hou +2
Outdoor vision-based systems suffer from atmospheric turbulences, and rain is one of the worst factors for vision degradation. Current rain removal methods show limitations either…
Robust Video Content Alignment and Compensation for Rain Removal in a CNN Framework
Jie Chen, Cheen-Hau Tan, Junhui Hou +2
Rain removal is important for improving the robustness of outdoor vision based systems. Current rain removal methods show limitations either for complex dynamic scenes shot from fa…
Multimodal Recurrent Neural Networks with Information Transfer Layers for Indoor Scene Labeling
Abrar H. Abdulnabi, Bing Shuai, Zhen Zuo +2
This paper proposes a new method called Multimodal RNNs for RGB-D scene semantic segmentation. It is optimized to classify image pixels given two input sources: RGB color channels…