b'Zhongyu Li'

research

∙ 09/18/2023

DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation

We present DFormer, a novel RGB-D pretraining framework to learn transfe...

0 Bowen Yin, et al. ∙

research

∙ 08/24/2023

Asymmetric Co-Training with Explainable Cell Graph Ensembling for Histopathological Image Classification

Convolutional neural networks excel in histopathological image classific...

0 Ziqi Yang, et al. ∙

research

∙ 02/28/2023

i2LQR: Iterative LQR for Iterative Tasks in Dynamic Environments

This work introduces a novel control strategy called Iterative Linear Qu...

0 Yifan Zeng, et al. ∙

research

∙ 02/19/2023

Robust and Versatile Bipedal Jumping Control through Multi-Task Reinforcement Learning

This work aims to push the limits of agility for bipedal robots by enabl...

0 Zhongyu Li, et al. ∙

research

∙ 12/29/2022

Walking in Narrow Spaces: Safety-critical Locomotion Control for Quadrupedal Robots with Duality-based Optimization

This paper presents a safety-critical locomotion control framework for q...

0 Qiayuan Liao, et al. ∙

research

∙ 10/10/2022

Creating a Dynamic Quadrupedal Robotic Goalkeeper with Reinforcement Learning

We present a reinforcement learning (RL) framework that enables quadrupe...

0 Xiaoyu Huang, et al. ∙

research

∙ 09/12/2022

GenLoco: Generalized Locomotion Controllers for Quadrupedal Robots

Recent years have seen a surge in commercially-available and affordable ...

0 Gilbert Feng, et al. ∙

research

∙ 08/01/2022

Hierarchical Reinforcement Learning for Precise Soccer Shooting Skills using a Quadrupedal Robot

We address the problem of enabling quadrupedal robots to perform precise...

0 Yandong Ji, et al. ∙

research

∙ 06/29/2022

Collaborative Navigation and Manipulation of a Cable-towed Load by Multiple Quadrupedal Robots

This paper tackles the problem of robots collaboratively towing a load w...

4 Chenyu Yang, et al. ∙

research

∙ 06/27/2022

Key-frame Guided Network for Thyroid Nodule Recognition using Ultrasound Videos

Ultrasound examination is widely used in the clinical diagnosis of thyro...

0 Yuchen Wang, et al. ∙

research

∙ 05/11/2022

Bridging Model-based Safety and Model-free Reinforcement Learning through System Identification of Low Dimensional Linear Models

Bridging model-based safety and model-free reinforcement learning (RL) f...

6 Zhongyu Li, et al. ∙

research

∙ 03/04/2022

Bayesian Optimization Meets Hybrid Zero Dynamics: Safe Parameter Learning for Bipedal Locomotion Control

In this paper, we propose a multi-domain control parameter learning fram...

9 Lizhi Yang, et al. ∙

research

∙ 03/04/2022

Teaching Robots to Span the Space of Functional Expressive Motion

Our goal is to enable robots to perform functional tasks in emotive ways...

0 Arjun Sripathy, et al. ∙

research

∙ 07/01/2021

Autonomous Navigation for Quadrupedal Robots with Optimized Jumping through Constrained Obstacles

Quadrupeds are strong candidates for navigating challenging environments...

1 Scott Gilroy, et al. ∙

research

∙ 05/28/2021

CRT-Net: A Generalized and Scalable Framework for the Computer-Aided Diagnosis of Electrocardiogram Signals

Electrocardiogram (ECG) signals play critical roles in the clinical scre...

0 Jingyi Liu, et al. ∙

research

∙ 05/21/2021

Enhancing Feasibility and Safety of Nonlinear Model Predictive Control with Discrete-Time Control Barrier Functions

Safety is one of the fundamental problems in robotics. Recently, one-ste...

0 Jun Zeng, et al. ∙

research

∙ 03/26/2021

Robotic Guide Dog: Leading a Human with Leash-Guided Hybrid Physical Interaction

An autonomous robot that is able to physically guide humans through narr...

0 Anxing Xiao, et al. ∙

research

∙ 03/26/2021

Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots

Developing robust walking controllers for bipedal robots is a challengin...

0 Zhongyu Li, et al. ∙

research

∙ 03/20/2021

3DMNDT:3D multi-view registration method based on the normal distributions transform

The normal distributions transform (NDT) is an effective paradigm for th...

0 Jihua Zhu, et al. ∙

research

∙ 12/13/2020

Effective multi-view registration of point sets based on student's t mixture model

Recently, Expectation-maximization (EM) algorithm has been introduced as...

0 Yanlin Ma, et al. ∙

research

∙ 09/12/2020

Towards Automatic Manipulation of Intra-cardiac Echocardiography Catheter

Intra-cardiac Echocardiography (ICE) has been evolving as a real-time im...

0 Young-Ho Kim, et al. ∙

research

∙ 09/07/2020

Animated Cassie: A Dynamic Relatable Robotic Character

Creating robots with emotional personalities will transform the usabilit...

0 Zhongyu Li, et al. ∙

research

∙ 08/21/2020

Graph Neural Networks for UnsupervisedDomain Adaptation of Histopathological ImageAnalytics

Annotating histopathological images is a time-consuming andlabor-intensi...

0 Dou Xu, et al. ∙

research

∙ 07/07/2020

Bidirectional Loss Function for Label Enhancement and Distribution Learning

Label distribution learning (LDL) is an interpretable and general learni...

10 Xinyuan Liu, et al. ∙

research

∙ 04/21/2020

Robust Motion Averaging under MaximumCorrentropy Criterion

Recently, the motion averaging method has been introduced as an effectiv...

0 Jihua Zhu, et al. ∙

research

∙ 04/07/2020

Consistent and Complementary Graph Regularized Multi-view Subspace Clustering

This study investigates the problem of multi-view clustering, where mult...

3 Qinghai Zheng, et al. ∙

research

∙ 04/07/2020

Generalized Label Enhancement with Sample Correlations

Recently, label distribution learning (LDL) has drawn much attention in ...

0 Qinghai Zheng, et al. ∙

research

∙ 02/18/2020

Registration of multi-view point sets under the perspective of expectation-maximization

Registration of multi-view point sets is a prerequisite for 3D model rec...

9 Jihua Zhu, et al. ∙

research

∙ 10/16/2019

CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation

Recently, deep neural networks have demonstrated comparable and even bet...

0 Peng Liu, et al. ∙

research

∙ 06/30/2019

Visual Space Optimization for Zero-shot Learning

Zero-shot learning, which aims to recognize new categories that are not ...

0 Xinsheng Wang, et al. ∙

research

∙ 06/19/2019

Constrained Bilinear Factorization Multi-view Subspace Clustering

Multi-view clustering is an important and fundamental problem. Many mult...

0 Qinghai Zheng, et al. ∙

research

∙ 01/30/2019

Feature Concatenation Multi-view Subspace Clustering

Many multi-view clustering methods have been proposed with the popularit...

14 Qinghai Zheng, et al. ∙

research

∙ 04/21/2018

Multi-view registration of unordered range scans by fast correspondence propagation of multi-scale descriptors

This paper proposes a global approach for the multi-view registration of...

0 Jihua Zhu, et al. ∙

research

∙ 03/20/2018

Adaptive Co-weighting Deep Convolutional Features For Object Retrieval

Aggregating deep convolutional features into a global image vector has a...

0 Jiaxing Wang, et al. ∙

research

∙ 06/14/2017

Simultaneous merging multiple grid maps using the robust motion averaging

Mapping in the GPS-denied environment is an important and challenging ta...

0 Zutao Jiang, et al. ∙

research

∙ 06/01/2017

An Effective Approach for Point Clouds Registration Based on the Hard and Soft Assignments

For the registration of partially overlapping point clouds, this paper p...

0 Congcong Jin, et al. ∙

research

∙ 02/21/2017

Weighted Motion Averaging for the Registration of Multi-View Range Scans

Multi-view registration is a fundamental but challenging problem in 3D r...

0 Rui Guo, et al. ∙

Zhongyu Li

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