35 citations · 80 across the 11 of their papers we have counts for
11 papers
Motion-Scenario Decoupling for Rat-Aware Video Position Prediction: Strategy and Benchmark
Xiaofeng Liu, Jiaxin Gao, Yaohua Liu +2
Recently significant progress has been made in human action recognition and behavior prediction using deep learning techniques, leading to improved vision-based semantic understand…
Augmenting Iterative Trajectory for Bilevel Optimization: Methodology, Analysis and Extensions
Risheng Liu, Yaohua Liu, Shangzhi Zeng +1
In recent years, there has been a surge of machine learning applications developed with hierarchical structure, which can be approached from Bi-Level Optimization (BLO) perspective…
Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity
Risheng Liu, Yaohua Liu, Wei Yao +2
Gradient methods have become mainstream techniques for Bi-Level Optimization (BLO) in learning fields. The validity of existing works heavily rely on either a restrictive Lower-Lev…
LGC-Net: A Lightweight Gyroscope Calibration Network for Efficient Attitude Estimation
Yaohua Liu, Wei Liang, Jinqiang Cui
This paper presents a lightweight, efficient calibration neural network model for denoising low-cost microelectromechanical system (MEMS) gyroscope and estimating the attitude of a…
Triple-level Model Inferred Collaborative Network Architecture for Video Deraining
Pan Mu, Zhu Liu, Yaohua Liu +2
Video deraining is an important issue for outdoor vision systems and has been investigated extensively. However, designing optimal architectures by the aggregating model formation…
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond
Risheng Liu, Yaohua Liu, Shangzhi Zeng +1
In recent years, Bi-Level Optimization (BLO) techniques have received extensive attentions from both learning and vision communities. A variety of BLO models in complex and practic…
BOML: A Modularized Bilevel Optimization Library in Python for Meta Learning
Yaohua Liu, Risheng Liu
Meta-learning (a.k.a. learning to learn) has recently emerged as a promising paradigm for a variety of applications. There are now many meta-learning methods, each focusing on diff…
Communication-Censored Linearized ADMM for Decentralized Consensus Optimization
Weiyu Li, Yaohua Liu, Zhi Tian +1
In this paper, we propose a communication- and computation-efficient algorithm to solve a convex consensus optimization problem defined over a decentralized network. A remarkable e…
Computer Vision-aided Atom Tracking in STEM Imaging
Yawei Hui, Yaohua Liu
To address the SMC'17 data challenge -- "Data mining atomically resolved images for material properties", we first used the classic "blob detection" algorithms developed in compute…
Discovering Features in SrCuO Neutron Single Crystal Diffraction Data by Cluster Analysis
Yawei Hui, Yaohua Liu, Byung-Hoon Park
To address the SMC'18 data challenge, "Discovering Features in SrCuO", we have used the clustering algorithm "DBSCAN" to separate the diffuse scattering featur…
Volumetric Data Exploration with Machine Learning-Aided Visualization in Neutron Science
Yawei Hui, Yaohua Liu
Recent advancements in neutron and X-ray sources, instrumentation and data collection modes have significantly increased the experimental data size (which could easily contain 10$^…