6 citations · 15 across the 8 of their papers we have counts for
12 papers
Rethinking Image Deraining via Rain Streaks and Vapors
Yinglong Wang, Yibing Song, Chao Ma +1
Single image deraining regards an input image as a fusion of a background image, a transmission map, rain streaks, and atmosphere light. While advanced models are proposed for imag…
Stereo RGB and Deeper LIDAR Based Network for 3D Object Detection
Qingdong He, Zhengning Wang, Hao Zeng +3
3D object detection has become an emerging task in autonomous driving scenarios. Previous works process 3D point clouds using either projection-based or voxel-based models. However…
Arithmetic addition of two integers by deep image classification networks: experiments to quantify their autonomous reasoning ability
Shuaicheng Liu, Zehao Zhang, Kai Song +1
The unprecedented performance achieved by deep convolutional neural networks for image classification is linked primarily to their ability of capturing rich structural features at…
Neural Point Cloud Rendering via Multi-Plane Projection
Peng Dai, Yinda Zhang, Zhuwen Li +2
We present a new deep point cloud rendering pipeline through multi-plane projections. The input to the network is the raw point cloud of a scene and the output are image or image s…
Deep Image Deraining Via Intrinsic Rainy Image Priors and Multi-scale Auxiliary Decoding
Yinglong Wang, Chao Ma, Bing Zeng
Different rain models and novel network structures have been proposed to remove rain streaks from single rainy images. In this work, we bring attention to the intrinsic priors and…
Gradient Information Guided Deraining with A Novel Network and Adversarial Training
Yinglong Wang, Haokui Zhang, Yu Liu +2
In recent years, deep learning based methods have made significant progress in rain-removing. However, the existing methods usually do not have good generalization ability, which l…