158 citations · 220 across the 20 of their papers we have counts for
7 papers · 1 filter
Exploring Text Selection in Augmented Reality Systems
Xinyi Liu, Xuanru Meng, Becky Spittle +3
Text selection is a common and essential activity during text interaction in all interactive systems. As Augmented Reality (AR) head-mounted displays (HMDs) become more widespread,…
Learning for Vehicle-to-Vehicle Cooperative Perception under Lossy Communication
Jinlong Li, Runsheng Xu, Xinyu Liu +4
Deep learning has been widely used in the perception (e.g., 3D object detection) of intelligent vehicle driving. Due to the beneficial Vehicle-to-Vehicle (V2V) communication, the d…
Interactive Imitation Learning in Robotics based on Simulations
Xinjie Liu
The transformation towards intelligence in various industries is creating more demand for intelligent and flexible products. In the field of robotics, learning-based methods are in…
Tensor Recovery Based on A Novel Non-convex Function Minimax Logarithmic Concave Penalty Function
Hongbing Zhang, Xinyi Liu, Chang Liu +3
Non-convex relaxation methods have been widely used in tensor recovery problems, and compared with convex relaxation methods, can achieve better recovery results. In this paper, a…
Rotation to Sparse Loadings using Losses and Related Inference Problems
Xinyi Liu, Gabriel Wallin, Yunxiao Chen +1
Researchers have widely used exploratory factor analysis (EFA) to learn the latent structure underlying multivariate data. Rotation and regularised estimation are two classes of me…
Low-light Image Enhancement by Retinex Based Algorithm Unrolling and Adjustment
Xinyi Liu, Qi Xie, Qian Zhao +2
Motivated by their recent advances, deep learning techniques have been widely applied to low-light image enhancement (LIE) problem. Among which, Retinex theory based ones, mostly f…
Low-Rank Tensor Completion Based on Bivariate Equivalent Minimax-Concave Penalty
Hongbing Zhang, Xinyi Liu, Hongtao Fan +2
Low-rank tensor completion (LRTC) is an important problem in computer vision and machine learning. The minimax-concave penalty (MCP) function as a non-convex relaxation has achieve…