69 citations · 361 across the 31 of their papers we have counts for
6 papers · 1 filter
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…
Deep Single Image Deraining Via Estimating Transmission and Atmospheric Light in rainy Scenes
Yinglong Wang, Qinfeng Shi, Ehsan Abbasnejad +3
Rain removal in images/videos is still an important task in computer vision field and attracting attentions of more and more people. Traditional methods always utilize some incompl…
Enhancing Quality for VVC Compressed Videos by Jointly Exploiting Spatial Details and Temporal Structure
Xiandong Meng, Xuan Deng, Shuyuan Zhu +1
In this paper, we propose a quality enhancement network of versatile video coding (VVC) compressed videos by jointly exploiting spatial details and temporal structure (SDTS). The p…