10 papers
Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control
Bangyan Liao, Chenglei Yu, Yuchen Yang +4
Linear Quadratic Stochastic Optimal Control (LQ-SOC) establishes a fundamental framework for steering noisy dynamical systems and has recently gained renewed interest in the machin…
Advances in Global Solvers for 3D Vision
Zhenjun Zhao, Heng Yang, Bangyan Liao +7
Global solvers have emerged as a powerful paradigm for 3D vision, offering certifiable solutions to nonconvex geometric optimization problems traditionally addressed by local or he…
Neural Predictor-Corrector: Solving Homotopy Problems with Reinforcement Learning
Jiayao Mai, Bangyan Liao, Zhenjun Zhao +6
The Homotopy paradigm, a general principle for solving challenging problems, appears across diverse domains such as robust optimization, global optimization, polynomial root-findin…
E-MoFlow: Learning Egomotion and Optical Flow from Event Data via Implicit Regularization
Wenpu Li, Bangyan Liao, Yi Zhou +3
The estimation of optical flow and 6-DoF ego-motion, two fundamental tasks in 3D vision, has typically been addressed independently. For neuromorphic vision (e.g., event cameras),…
Convex Relaxation for Robust Vanishing Point Estimation in Manhattan World
Bangyan Liao, Zhenjun Zhao, Haoang Li +4
Determining the vanishing points (VPs) in a Manhattan world, as a fundamental task in many 3D vision applications, consists of jointly inferring the line-VP association and locatin…
Motion and Structure from Event-based Normal Flow
Zhongyang Ren, Bangyan Liao, Delei Kong +5
Recovering the camera motion and scene geometry from visual data is a fundamental problem in the field of computer vision. Its success in standard vision is attributed to the matur…