Tao Ruan

Orcid: 0009-0008-0135-9804

According to our database1, Tao Ruan authored at least 26 papers between 2015 and 2024.

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Bibliography

2024
A real-time and high-performance MobileNet accelerator based on adaptive dataflow scheduling for image classification.
J. Real Time Image Process., February, 2024

Each Performs Its Functions: Task Decomposition and Feature Assignment for Audio-Visual Segmentation.
IEEE Trans. Multim., 2024

Training Superpixel Network Only Once.
IEEE Signal Process. Lett., 2024

Expression-aware neural radiance fields for high-fidelity talking portrait synthesis.
Image Vis. Comput., 2024

Temporal pattern-aware QoS prediction by Biased Non-negative Tucker Factorization of tensors.
Neurocomputing, 2024

RailEINet:A novel scene segmentation network for automatic train operation based on feature alignment.
Eng. Appl. Artif. Intell., 2024

Learning Invariant Inter-pixel Correlations for Superpixel Generation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
ℒ풪<sup>2</sup>net: Global-Local Semantics Coupled Network for scene-specific video foreground extraction with less supervision.
Pattern Anal. Appl., November, 2023

Dual-Gradients Localization Framework With Skip-Layer Connections for Weakly Supervised Object Localization.
IEEE Trans. Multim., 2023

Towards Workload Trend Time Series Probabilistic Prediction via Probabilistic Deep Learning.
Proceedings of the 18th International Symposium on Spatial and Temporal Data, 2023

2021
VehicleNet: Learning Robust Visual Representation for Vehicle Re-Identification.
IEEE Trans. Multim., 2021

Fabrication and Characterization of Iridium Oxide pH Microelectrodes Based on Sputter Deposition Method.
Sensors, 2021

A proportional-integral-derivative-incorporated stochastic gradient descent-based latent factor analysis model.
Neurocomputing, 2021

Hyper-parameter-evolutionary latent factor analysis for high-dimensional and sparse data from recommender systems.
Neurocomputing, 2021

GradingNet: Towards Providing Reliable Supervisions for Weakly Supervised Object Detection by Grading the Box Candidates.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
LID 2020: The Learning from Imperfect Data Challenge Results.
CoRR, 2020

Context-Aware Traffic Prediction Framework Based on Series Decomposition.
IEEE Access, 2020

Dual-Gradients Localization Framework for Weakly Supervised Object Localization.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

An Analysis of Twitter Responses to the 2019 Ridgecrest Earthquake Sequence.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

2019
Rearranging Online Tubes for Streaming Video Synopsis: A Dynamic Graph Coloring Approach.
IEEE Trans. Image Process., 2019

Face Verification Between ID Document Photos and Partial Occluded Spot Photos.
Proceedings of the Image and Graphics - 10th International Conference, 2019

VehicleNet: Learning Robust Feature Representation for Vehicle Re-identification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Devil in the Details: Towards Accurate Single and Multiple Human Parsing.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Devil in the Details: Towards Accurate Single and Multiple Human Parsing.
CoRR, 2018

2017
Stabilizing Object Tracking Trajectory on the Basis of Kalman Filter.
Proceedings of the Third IEEE International Conference on Multimedia Big Data, 2017

2015
Photo linker: a system for finding your old photos based on fragmentary memories.
Proceedings of the 7th International Conference on Internet Multimedia Computing and Service, 2015


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