Search Results for author: Jiakai Cao

Found 4 papers, 0 papers with code

SD-MVS: Segmentation-Driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization

no code implementations12 Jan 2024 Zhenlong Yuan, Jiakai Cao, Zhaoxin Li, Hao Jiang, Zhaoqi Wang

In this paper, we introduce Segmentation-Driven Deformation Multi-View Stereo (SD-MVS), a method that can effectively tackle challenges in 3D reconstruction of textureless areas.

3D Reconstruction

ASSIST: Interactive Scene Nodes for Scalable and Realistic Indoor Simulation

no code implementations10 Nov 2023 Zhide Zhong, Jiakai Cao, Songen Gu, Sirui Xie, Weibo Gao, Liyi Luo, Zike Yan, Hao Zhao, Guyue Zhou

We present ASSIST, an object-wise neural radiance field as a panoptic representation for compositional and realistic simulation.

Panoptic Segmentation

TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo

no code implementations19 Aug 2023 Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li

The reconstruction of textureless areas has long been a challenging problem in MVS due to lack of reliable pixel correspondences between images.

3D Reconstruction Depth Completion +4

End-to-End Multi-Object Tracking with Global Response Map

no code implementations13 Jul 2020 Xingyu Wan, Jiakai Cao, Sanping Zhou, Jinjun Wang

Most existing Multi-Object Tracking (MOT) approaches follow the Tracking-by-Detection paradigm and the data association framework where objects are firstly detected and then associated.

Multi-Object Tracking Object +2

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