Haoyu Ren

Liuan Wang

Junjie Wu

Decis. Support Syst., 2024

2023

TinyMetaFed: Efficient Federated Meta-Learning for TinyML.

[BibT_eX]

[DOI]

CoRR, 2023

Robust Real-world Image Enhancement Based on Multi-Exposure LDR Images.

[BibT_eX]

[DOI]

Yi Fan

Stephen Huang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

TinyReptile: TinyML with Federated Meta-Learning.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Towards Semantic Management of On-Device Applications in Industrial IoT.

[BibT_eX]

[DOI]

ACM Trans. Internet Techn., November, 2022

How to Manage Tiny Machine Learning at Scale: An Industrial Perspective.

[BibT_eX]

[DOI]

CoRR, 2022

SeLoC-ML: Semantic Low-Code Engineering for Machine Learning Applications in Industrial IoT.

[BibT_eX]

[DOI]

Proceedings of the Semantic Web - ISWC 2022, 2022

Fusion Temporal Color Constancy.

[BibT_eX]

[DOI]

Yi Fan

Hsilin Huang

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

A Kind of PWM DC Motor Speed Regulation System Based on STM32 with Fuzzy-PID Dual Closed-Loop Control.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Methodologies - 18th International Conference, 2022

2021

Scenario Detection in Unlabeled Real Driving Data with a Rule-Based State Machine Supported by a Recurrent Neural Network.

[BibT_eX]

[DOI]

Francesco Montanari

Anatoli Djanatliev

Proceedings of the 93rd IEEE Vehicular Technology Conference, 2021

TinyOL: TinyML with Online-Learning on Microcontrollers.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Deep Integration Navigation Technique Based on Strong Tracking UKF Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2021

The synergy of complex event processing and tiny machine learning in industrial IoT.

[BibT_eX]

[DOI]

Proceedings of the 15th ACM International Conference on Distributed and Event-based Systems, 2021

2020

CNF+CT: Context Network Fusion of Cascade-Trained Convolutional Neural Networks for Image Super-Resolution.

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2020

Multitask Deep Neural Networks for Tele-Wide Stereo Matching.

[BibT_eX]

[DOI]

IEEE Access, 2020

Stereo Disparity Estimation via Joint Supervised, Unsupervised, and Weakly Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2020

Deep Monocular Video Depth Estimation Using Temporal Attention.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

SUW-Learn: Joint Supervised, Unsupervised, Weakly Supervised Deep Learning for Monocular Depth Estimation.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Real-World Super-Resolution using Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

TW-SMNet: Deep Multitask Learning of Tele-Wide Stereo Matching.

[BibT_eX]

[DOI]

CoRR, 2019

Multi-Task Learning of Depth from Tele and Wide Stereo Image Pairs.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Deep Robust Single Image Depth Estimation Neural Network Using Scene Understanding.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

CT-SRCNN: Cascade Trained and Trimmed Deep Convolutional Neural Networks for Image Super Resolution.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Video Super Resolution Based on Deep Convolution Neural Network With Two-Stage Motion Compensation.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Multimedia & Expo Workshops, 2018

DN-ResNet: Efficient Deep Residual Network for Image Denoising.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Image Super Resolution Based on Fusing Multiple Convolution Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

Object detection using boosted local binaries.

[BibT_eX]

[DOI]

Pattern Recognit., 2016

2015

Object tracking using structure-aware binary features.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015

Object recognition based on deformable edge set.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Object Detection Using Generalization and Efficiency Balanced Co-Occurrence Features.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Basis mapping based boosting for object detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Gender Recognition Using Complexity-Aware Local Features.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Boosted local binaries for object detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

Object detection using edge histogram of oriented gradient.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Age Estimation Based on Complexity-Aware Features.

[BibT_eX]

[DOI]