b'Fei Chen'

research

∙ 09/17/2022

6DOF Pose Estimation of a 3D Rigid Object based on Edge-enhanced Point Pair Features

The point pair feature (PPF) is widely used for 6D pose estimation. In t...

Chenyi Liu, et al. ∙

research

∙ 08/24/2022

A Consistency Constraint-Based Approach to Coupled State Constraints in Distributed Model Predictive Control

In this paper, we present a distributed model predictive control (DMPC) ...

Adrian Wiltz, et al. ∙

research

∙ 07/02/2022

Less is More: Adaptive Curriculum Learning for Thyroid Nodule Diagnosis

Thyroid nodule classification aims at determining whether the nodule is ...

Haifan Gong, et al. ∙

research

∙ 06/19/2022

Learning Grasp Ability Enhancement through Deep Shape Generation

Data-driven especially deep learning-based approaches have become a domi...

Junnan Jiang, et al. ∙

research

∙ 06/02/2022

XBound-Former: Toward Cross-scale Boundary Modeling in Transformers

Skin lesion segmentation from dermoscopy images is of great significance...

Jiacheng Wang, et al. ∙

research

∙ 05/12/2022

Robot Cooking with Stir-fry: Bimanual Non-prehensile Manipulation of Semi-fluid Objects

This letter describes an approach to achieve well-known Chinese cooking ...

Junjia Liu, et al. ∙

research

∙ 04/07/2022

MTI-Net: A Multi-Target Speech Intelligibility Prediction Model

Recently, deep learning (DL)-based non-intrusive speech assessment model...

Ryandhimas E. Zezario, et al. ∙

research

∙ 04/07/2022

MBI-Net: A Non-Intrusive Multi-Branched Speech Intelligibility Prediction Model for Hearing Aids

Improving the user's hearing ability to understand speech in noisy envir...

Ryandhimas E. Zezario, et al. ∙

research

∙ 01/13/2022

Convolutional dual graph Laplacian sparse coding

In recent years, graph signal processing (GSP) technology has become pop...

Xuefeng Peng, et al. ∙

research

∙ 12/15/2021

Fast Computation of Generalized Eigenvectors for Manifold Graph Embedding

Our goal is to efficiently compute low-dimensional latent coordinates fo...

Fei Chen, et al. ∙

research

∙ 11/03/2021

Deep Learning-based Non-Intrusive Multi-Objective Speech Assessment Model with Cross-Domain Features

In this study, we propose a cross-domain multi-objective speech assessme...

Ryandhimas E. Zezario, et al. ∙

research

∙ 11/02/2021

Learning Robotic Ultrasound Scanning Skills via Human Demonstrations and Guided Explorations

Medical ultrasound has become a routine examination approach nowadays an...

Xutian Deng, et al. ∙

research

∙ 09/15/2021

Fusing Visuo-Tactile Perception into Kernelized Synergies for Robust Grasping and Fine Manipulation of Non-rigid Objects

Handling non-rigid objects using robot hands necessities a framework tha...

Sunny Katyara, et al. ∙

research

∙ 06/22/2021

LV-BERT: Exploiting Layer Variety for BERT

Modern pre-trained language models are mostly built upon backbones stack...

Weihao Yu, et al. ∙

research

∙ 06/09/2021

No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data

A central challenge in training classification models in the real-world ...

Mi Luo, et al. ∙

research

∙ 05/30/2021

Vector Detection Network: An Application Study on Robots Reading Analog Meters in the Wild

Analog meters equipped with one or multiple pointers are wildly utilized...

Zhipeng Dong, et al. ∙

research

∙ 04/28/2021

Two stages for visual object tracking

Siamese-based trackers have achived promising performance on visual obje...

Fei Chen, et al. ∙

research

∙ 03/09/2021

Formulating Intuitive Stack-of-Tasks with Visuo-Tactile Perception for Collaborative Human-Robot Fine Manipulation

Enabling robots to work in close proximity with humans necessitates to e...

Sunny Katyara, et al. ∙

research

∙ 03/03/2021

The effect of speech and noise levels on the quality perceived by cochlear implant and normal hearing listeners

Electrical hearing by cochlear implants (CIs) may be fundamentally diffe...

Sara Akbarzadeh, et al. ∙

research

∙ 12/22/2020

MetaAugment: Sample-Aware Data Augmentation Policy Learning

Automated data augmentation has shown superior performance in image reco...

Fengwei Zhou, et al. ∙

research

∙ 12/13/2020

Vision Based Adaptation to Kernelized Synergies for Human Inspired Robotic Manipulation

Humans in contrast to robots are excellent in performing fine manipulati...

Sunny Katyara, et al. ∙

research

∙ 08/26/2020

Reproducible Pruning System on Dynamic Natural Plants for Field Agricultural Robots

Pruning is the art of cutting unwanted and unhealthy plant branches and ...

Sunny Katyara, et al. ∙

research

∙ 08/26/2020

Leveraging Kernelized Synergies on Shared Subspace for Precision Grasp and Dexterous Manipulation

Manipulation in contrast to grasping is a trajectorial task that needs t...

Sunny Katyara, et al. ∙

research

∙ 07/31/2020

LAVAPilot: Lightweight UAV Trajectory Planner with Situational Awareness for Embedded Autonomy to Track and Locate Radio-tags

Tracking and locating radio-tagged wildlife is a labor-intensive and tim...

Hoa Van Nguyen, et al. ∙

research

∙ 06/13/2020

Risk Variance Penalization: From Distributional Robustness to Causality

Learning under multi-environments often requires the ability of out-of-d...

Chuanlong Xie, et al. ∙

research

∙ 05/29/2020

Deep Job Understanding at LinkedIn

As the world's largest professional network, LinkedIn wants to create ec...

Shan Li, et al. ∙

research

∙ 05/09/2020

HACK3D: Evaluating Cybersecurity of Additive Manufacturing by Crowdsourcing

Additive manufacturing cyber-physical system is vulnerable to both cyber...

Michael Linares, et al. ∙

research

∙ 01/22/2020

MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection

Recommender systems often face heterogeneous datasets containing highly ...

Mi Luo, et al. ∙

research

∙ 04/29/2019

Consensus Control for Leader-follower Multi-agent Systems under Prescribed Performance Guarantees

This paper addresses the problem of distributed control for leader-follo...

Fei Chen, et al. ∙

research

∙ 02/22/2018

Federated Meta-Learning for Recommendation

Recommender systems have been widely studied from the machine learning p...

Fei Chen, et al. ∙

research

∙ 01/12/2018

Speech Dereverberation Based on Integrated Deep and Ensemble Learning Algorithm

Reverberation, which is generally caused by sound reflections from walls...

Wei-Jen Lee, et al. ∙

research

∙ 01/12/2018

Speech Dereverberation Based on Integrated Deep and Ensemble Learning

Reverberation, which is generally caused by sound reflections from walls...

Wei-Jen Lee, et al. ∙

research

∙ 12/05/2017

Real-Time Localization and Tracking of Multiple Radio-Tagged Animals with an Autonomous UAV

Autonomous aerial robots provide new possibilities to study the habitats...

Hoa Van Nguyen, et al. ∙

Fei Chen

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