most citedSTS: Surround-view Temporal Stereo for Multi-view 3D Detection

26 citations · 52 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2023

NeuFace: Realistic 3D Neural Face Rendering from Multi-view Images

Mingwu Zheng, Haiyu Zhang, Hongyu Yang +1

Realistic face rendering from multi-view images is beneficial to various computer vision and graphics applications. Due to the complex spatially-varying reflectance properties and…

cs.CV2022★ 6 cited

Rethinking Dimensionality Reduction in Grid-based 3D Object Detection

Dihe Huang, Ying Chen, Yikang Ding +7

Bird's eye view (BEV) is widely adopted by most of the current point cloud detectors due to the applicability of well-explored 2D detection techniques. However, existing methods ob…

cs.CV2022

Scatter Points in Space: 3D Detection from Multi-view Monocular Images

Jianlin Liu, Zhuofei Huang, Dihe Huang +3

3D object detection from monocular image(s) is a challenging and long-standing problem of computer vision. To combine information from different perspectives without troublesome 2D…

cs.CV2022★ 26 cited

STS: Surround-view Temporal Stereo for Multi-view 3D Detection

Zengran Wang, Chen Min, Zheng Ge +4

Learning accurate depth is essential to multi-view 3D object detection. Recent approaches mainly learn depth from monocular images, which confront inherent difficulties due to the…

cs.CV2022★ 3 cited

Adaptive Assignment for Geometry Aware Local Feature Matching

Dihe Huang, Ying Chen, Shang Xu +5

The detector-free feature matching approaches are currently attracting great attention thanks to their excellent performance. However, these methods still struggle at large-scale a…

cs.CV2022

Enhancing Multi-view Stereo with Contrastive Matching and Weighted Focal Loss

Yikang Ding, Zhenyang Li, Dihe Huang +2

Learning-based multi-view stereo (MVS) methods have made impressive progress and surpassed traditional methods in recent years. However, their accuracy and completeness are still s…

cs.CV2022★ 17 cited

WT-MVSNet: Window-based Transformers for Multi-view Stereo

Jinli Liao, Yikang Ding, Yoli Shavit +5

Recently, Transformers were shown to enhance the performance of multi-view stereo by enabling long-range feature interaction. In this work, we propose Window-based Transformers (WT…

cs.CV2022

Guide Local Feature Matching by Overlap Estimation

Ying Chen, Dihe Huang, Shang Xu +2

Local image feature matching under large appearance, viewpoint, and distance changes is challenging yet important. Conventional methods detect and match tentative local features ac…