activity
20172022
most citedSingle Image Dehazing Using Ranking Convolutional Neural Network

146 citations · 572 across the 31 of their papers we have counts for

collaborators

53 papers

cs.CV20222 cited

RNNPose: Recurrent 6-DoF Object Pose Refinement with Robust Correspondence Field Estimation and Pose Optimization

Yan Xu, Kwan-Yee Lin, Guofeng Zhang +2

6-DoF object pose estimation from a monocular image is challenging, and a post-refinement procedure is generally needed for high-precision estimation. In this paper, we propose a f…

cs.CV20223 cited

Learning a Structured Latent Space for Unsupervised Point Cloud Completion

Yingjie Cai, Kwan-Yee Lin, Chao Zhang +3

Unsupervised point cloud completion aims at estimating the corresponding complete point cloud of a partial point cloud in an unpaired manner. It is a crucial but challenging proble…

cs.CV20222 cited

Point2Seq: Detecting 3D Objects as Sequences

Yujing Xue, Jiageng Mao, Minzhe Niu +5

We present a simple and effective framework, named Point2Seq, for 3D object detection from point clouds. In contrast to previous methods that normally {predict attributes of 3D obj…

cs.CV20217 cited

FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting

Rui Liu, Hanming Deng, Yangyi Huang +6

Transformer, as a strong and flexible architecture for modelling long-range relations, has been widely explored in vision tasks. However, when used in video inpainting that require…

cs.CV20211 cited

Voxel-based Network for Shape Completion by Leveraging Edge Generation

Xiaogang Wang, Marcelo H Ang, Gim Hee Lee

Deep learning technique has yielded significant improvements in point cloud completion with the aim of completing missing object shapes from partial inputs. However, most existing…

cs.CV20217 cited

LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector

Xiaoyang Guo, Shaoshuai Shi, Xiaogang Wang +1

Stereo-based 3D detection aims at detecting 3D object bounding boxes from stereo images using intermediate depth maps or implicit 3D geometry representations, which provides a low-…