activity
20112021
most cited3D Gated Recurrent Fusion for Semantic Scene Completion

23 citations · 40 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2021★ 2 cited

Real-time Keypoints Detection for Autonomous Recovery of the Unmanned Ground Vehicle

Jie Li, Sheng Zhang, Kai Han +3

The combination of a small unmanned ground vehicle (UGV) and a large unmanned carrier vehicle allows more flexibility in real applications such as rescue in dangerous scenarios. Th…

cs.CV2020★ 23 cited

3D Gated Recurrent Fusion for Semantic Scene Completion

Yu Liu, Jie Li, Qingsen Yan +4

This paper tackles the problem of data fusion in the semantic scene completion (SSC) task, which can simultaneously deal with semantic labeling and scene completion. RGB images con…

cs.CV2020★ 2 cited

Depth Based Semantic Scene Completion with Position Importance Aware Loss

Yu Liu, Jie Li, Xia Yuan +4

Semantic Scene Completion (SSC) refers to the task of inferring the 3D semantic segmentation of a scene while simultaneously completing the 3D shapes. We propose PALNet, a novel hy…

cs.CV2019★ 12 cited

RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion

Jie Li, Yu Liu, Dong Gong +4

RGB images differentiate from depth images as they carry more details about the color and texture information, which can be utilized as a vital complementary to depth for boosting…

cs.MM2011★ 1 cited

Label-Specific Training Set Construction from Web Resource for Image Annotation

Jinhui Tang, Shuicheng Yan, Tat-Seng Chua +1

Recently many research efforts have been devoted to image annotation by leveraging on the associated tags/keywords of web images as training labels. A key issue to resolve is the r…