no code implementations • 17 Jan 2024 • Hao Qu, Lilian Zhang, Jun Mao, Junbo Tie, Xiaofeng He, Xiaoping Hu, Yifei Shi, Changhao Chen
Unreliable feature extraction and matching in handcrafted features undermine the performance of visual SLAM in complex real-world scenarios.
no code implementations • 12 Dec 2023 • Yi Sun, Xin Xu, Jian Li, Guanglei Xie, Yifei Shi, Qiang Fang
Differently, we propose a continual learning method named Split2MetaFusion which can achieve better trade-off by employing a two-stage strategy: splitting and meta-weighted fusion.
1 code implementation • 28 Aug 2023 • Hui Tian, Chenyang Zhu, Yifei Shi, Kai Xu
The key insight is that if the UDF is estimated correctly, the 3D points should be locally projected onto the underlying surface following the gradient of the UDF.
no code implementations • 16 Jul 2023 • Yifei Shi, Junhua Xi, Dewen Hu, Zhiping Cai, Kai Xu
In particular, we propose RayMVSNet which learns sequential prediction of a 1D implicit field along each camera ray with the zero-crossing point indicating scene depth.
no code implementations • 31 May 2023 • Yi Sun, Xin Xu, Jian Li, Xiaochang Hu, Yifei Shi, Ling-Li Zeng
By designing the learnable task-specific importance variables, DR-MGF evaluates the importance of filters for different tasks.
no code implementations • ICCV 2023 • Boyan Wan, Yifei Shi, Kai Xu
We propose Semantically-aware Object Coordinate Space (SOCS) built by warping-and-aligning the objects guided by a sparse set of keypoints with semantically meaningful correspondence.
no code implementations • CVPR 2022 • Junhua Xi, Yifei Shi, Yijie Wang, Yulan Guo, Kai Xu
In particular, we propose RayMVSNet which learns sequential prediction of a 1D implicit field along each camera ray with the zero-crossing point indicating scene depth.
1 code implementation • 20 Feb 2022 • Yuqing Lan, Yao Duan, Yifei Shi, Hui Huang, Kai Xu
Context has proven to be one of the most important factors in object layout reasoning for 3D scene understanding.
no code implementations • CVPR 2021 • Yifei Shi, Junwen Huang, Xin Xu, Yifan Zhang, Kai Xu
According to the theory of geometric stability analysis, a minimal set of three planar/cylindrical patches are geometrically stable and determine the full 6DoFs of the object pose.
no code implementations • 2 Aug 2020 • Yifei Shi, Junwen Huang, Hongjia Zhang, Xin Xu, Szymon Rusinkiewicz, Kai Xu
We propose an end-to-end deep neural network which is able to predict both reflectional and rotational symmetries of 3D objects present in the input RGB-D image.
no code implementations • ICCV 2019 • Maciej Halber, Yifei Shi, Kai Xu, Thomas Funkhouser
In depth-sensing applications ranging from home robotics to AR/VR, it will be common to acquire 3D scans of interior spaces repeatedly at sparse time intervals (e. g., as part of regular daily use).
no code implementations • CVPR 2019 • Yifei Shi, Angel Xuan Chang, Zhelun Wu, Manolis Savva, Kai Xu
Indoor scenes exhibit rich hierarchical structure in 3D object layouts.
no code implementations • ECCV 2018 • Yifei Shi, Kai Xu, Matthias Niessner, Szymon Rusinkiewicz, Thomas Funkhouser
We introduce a novel RGB-D patch descriptor designed for detecting coplanar surfaces in SLAM reconstruction.
no code implementations • 14 Oct 2016 • Min Liu, Yifei Shi, Lintao Zheng, Kai Xu, Hui Huang, Dinesh Manocha
Active vision is inherently attention-driven: The agent actively selects views to attend in order to fast achieve the vision task while improving its internal representation of the scene being observed.