22 citations · 59 across the 8 of their papers we have counts for
12 papers
NeuralRoom: Geometry-Constrained Neural Implicit Surfaces for Indoor Scene Reconstruction
Yusen Wang, Zongcheng Li, Yu Jiang +4
We present a novel neural surface reconstruction method called NeuralRoom for reconstructing room-sized indoor scenes directly from a set of 2D images. Recently, implicit neural re…
DGECN: A Depth-Guided Edge Convolutional Network for End-to-End 6D Pose Estimation
Tuo Cao, Fei Luo, Yanping Fu +3
Monocular 6D pose estimation is a fundamental task in computer vision. Existing works often adopt a two-stage pipeline by establishing correspondences and utilizing a RANSAC algori…
Luminance Attentive Networks for HDR Image and Panorama Reconstruction
Hanning Yu, Wentao Liu, Chengjiang Long +3
It is very challenging to reconstruct a high dynamic range (HDR) from a low dynamic range (LDR) image as an ill-posed problem. This paper proposes a luminance attentive network nam…
CANet: A Context-Aware Network for Shadow Removal
Zipei Chen, Chengjiang Long, Ling Zhang +1
In this paper, we propose a novel two-stage context-aware network named CANet for shadow removal, in which the contextual information from non-shadow regions is transferred to shad…
Dual Graph Convolutional Networks with Transformer and Curriculum Learning for Image Captioning
Xinzhi Dong, Chengjiang Long, Wenju Xu +1
Existing image captioning methods just focus on understanding the relationship between objects or instances in a single image, without exploring the contextual correlation existed…
CRD-CGAN: Category-Consistent and Relativistic Constraints for Diverse Text-to-Image Generation
Tao Hu, Chengjiang Long, Chunxia Xiao
Generating photo-realistic images from a text description is a challenging problem in computer vision. Previous works have shown promising performance to generate synthetic images…