Aichun Zhu

Orcid: 0000-0001-6972-5534

According to our database1, Aichun Zhu authored at least 50 papers between 2014 and 2023.

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Bibliography

2023
Optimal DNN Inference Delay Minimization for Chain-Structured Roadside Edge Networks.
IEEE Trans. Veh. Technol., December, 2023

Synchronous Spatiotemporal Graph Transformer: A New Framework for Traffic Data Prediction.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Deformable multi-scale fusion network for non-uniform single image deblurring.
Multim. Tools Appl., December, 2023

Towards Optimal Application Offloading in Heterogeneous Edge-Cloud Computing.
IEEE Trans. Computers, November, 2023

CSI-Former: Pay More Attention to Pose Estimation with WiFi.
Entropy, January, 2023

Interpretable Modeling of Single-cell perturbation Responses to Novel Drugs Using Cycle Consistence Learning.
CoRR, 2023

TVPR: Text-to-Video Person Retrieval and a New Benchmark.
CoRR, 2023

C2SFormer: Rethinking the Local-Global Design for Efficient Visual Recognition Model.
Proceedings of the International Joint Conference on Neural Networks, 2023

CT-Mixer: Exploiting Multiscale Design for Local-Global Representations Learning.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2023

2022
CACrowdGAN: Cascaded Attentional Generative Adversarial Network for Crowd Counting.
IEEE Trans. Intell. Transp. Syst., 2022

SUM: Serialized Updating and Matching for text-based person retrieval.
Knowl. Based Syst., 2022

Frequency-driven channel attention-augmented full-scale temporal modeling network for skeleton-based action recognition.
Knowl. Based Syst., 2022

Wi-ATCN: Attentional Temporal Convolutional Network for Human Action Prediction Using WiFi Channel State Information.
IEEE J. Sel. Top. Signal Process., 2022

Deep-Learning-Based End-to-End Predictions of CO<sub>2</sub> Capture in Metal-Organic Frameworks.
J. Chem. Inf. Model., 2022

HARNet: Hierarchical adaptive regression with location recovery for crowd counting.
Neurocomputing, 2022

A Fast Multi-Scale Generative Adversarial Network for Image Compressed Sensing.
Entropy, 2022

ASPD-Net: Self-aligned part mask for improving text-based person re-identification with adversarial representation learning.
Eng. Appl. Artif. Intell., 2022

CAIBC: Capturing All-round Information Beyond Color for Text-based Person Retrieval.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Look Before You Leap: Improving Text-based Person Retrieval by Learning A Consistent Cross-modal Common Manifold.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Bi-level Doubly Variational Learning for Energy-based Latent Variable Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
RecapNet: Action Proposal Generation Mimicking Human Cognitive Process.
IEEE Trans. Cybern., 2021

CDADNet: Context-guided dense attentional dilated network for crowd counting.
Signal Process. Image Commun., 2021

Pose-Guided Inflated 3D ConvNet for action recognition in videos.
Signal Process. Image Commun., 2021

A feature binding model in computer vision for object detection.
Multim. Tools Appl., 2021

Mask-based generative adversarial networking for crowd counting.
J. Electronic Imaging, 2021

An enhanced 3DCNN-ConvLSTM for spatiotemporal multimedia data analysis.
Concurr. Comput. Pract. Exp., 2021

AMEN: Adversarial Multi-space Embedding Network for Text-Based Person Re-identification.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

DSSL: Deep Surroundings-person Separation Learning for Text-based Person Retrieval.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020
Enhanced Spatial and Extended Temporal Graph Convolutional Network for Skeleton-Based Action Recognition.
Sensors, 2020

IMG-Net: inner-cross-modal attentional multigranular network for description-based person re-identification.
J. Electronic Imaging, 2020

Two-stream spatial-temporal neural networks for pose-based action recognition.
J. Electronic Imaging, 2020

Exploring a rich spatial-temporal dependent relational model for skeleton-based action recognition by bidirectional LSTM-CNN.
Neurocomputing, 2020

Skeleton-based attention-aware spatial-temporal model for action detection and recognition.
IET Comput. Vis., 2020

Abnormal event detection via the analysis of multi-frame optical flow information.
Frontiers Comput. Sci., 2020

Multi-Stream and Enhanced Spatial-Temporal Graph Convolution Network for Skeleton-Based Action Recognition.
IEEE Access, 2020

2019
Multiple human upper bodies detection via candidate-region convolutional neural network.
Multim. Tools Appl., 2019

Pose-based multisource networks using convolutional neural network and long short-term memory for action recognition.
J. Electronic Imaging, 2019

A Simple Deterministic Measurement Matrix Based on GMW Pseudorandom Sequence.
IEICE Trans. Inf. Syst., 2019

Hard Sample Mining and Learning for Skeleton-Based Human Action Recognition and Identification.
IEEE Access, 2019

2018
Abnormal event detection via covariance matrix for optical flow based feature.
Multim. Tools Appl., 2018

Exposing image resampling forgery by using linear parametric model.
Multim. Tools Appl., 2018

Multisource learning for skeleton-based action recognition using deep LSTM and CNN.
J. Electronic Imaging, 2018

Deterministic Construction of Measurement Matrices Based on Bose Balanced Incomplete Block Designs.
IEEE Access, 2018

Multi-source Learning for Skeleton -based Action Recognition Using Deep LSTM Networks.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Human Pose Estimation via Multi-resolution Convolutional Neural Network.
Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

2016
Articulated human pose estimation in images and video. (Détection et suivi de la posture humaine dans les images fixes et les vidéos).
PhD thesis, 2016

Detection of Abnormal Event in Complex Situations Using Strong Classifier Based on BP Adaboost.
Proceedings of the Intelligent Computing Theories and Application, 2016

2015
Human pose estimation with multiple mixture parts model based on upper body categories.
J. Electronic Imaging, 2015

Articulated pose estimation via multiple mixture parts model.
Proceedings of the 12th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2015

2014
Articulated human motion tracking with foreground learning.
Proceedings of the 22nd European Signal Processing Conference, 2014


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