128 citations · 150 across the 5 of their papers we have counts for
5 papers
LSM: Learning Subspace Minimization for Low-level Vision
Chengzhou Tang, Lu Yuan, Ping Tan
We study the energy minimization problem in low-level vision tasks from a novel perspective. We replace the heuristic regularization term with a learnable subspace constraint, and…
Joint Stabilization and Direction of 360°Videos
Chengzhou Tang, Oliver Wang, Feng Liu +1
360° video provides an immersive experience for viewers, allowing them to freely explore the world by turning their head. However, creating high-quality 360° video content can be c…
BA-Net: Dense Bundle Adjustment Network
Chengzhou Tang, Ping Tan
This paper introduces a network architecture to solve the structure-from-motion (SfM) problem via feature-metric bundle adjustment (BA), which explicitly enforces multi-view geomet…
GSLAM: Initialization-robust Monocular Visual SLAM via Global Structure-from-Motion
Chengzhou Tang, Oliver Wang, Ping Tan
Many monocular visual SLAM algorithms are derived from incremental structure-from-motion (SfM) methods. This work proposes a novel monocular SLAM method which integrates recent adv…
Linear Global Translation Estimation with Feature Tracks
Zhaopeng Cui, Nianjuan Jiang, Chengzhou Tang +1
This paper derives a novel linear position constraint for cameras seeing a common scene point, which leads to a direct linear method for global camera translation estimation. Unlik…