Chengyun Liu

According to our database1, Chengyun Liu authored at least 33 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
AdaptiveGait: adaptive feature fusion network for gait recognition.
Multim. Tools Appl., October, 2024

Supervised contrastive learning with multi-scale interaction and integrity learning for salient object detection.
Mach. Vis. Appl., July, 2024

Category-based depth incorporation for salient object ranking.
J. Vis. Commun. Image Represent., 2024

SAFLFusionGait: Gait recognition network with separate attention and different granularity feature learnability fusion.
J. Vis. Commun. Image Represent., 2024

2023
Unsupervised self-attention lightweight photo-to-sketch synthesis with feature maps.
J. Vis. Commun. Image Represent., February, 2023

2022
MFNet: Multi-Feature Fusion Network for Real-Time Semantic Segmentation in Road Scenes.
IEEE Trans. Intell. Transp. Syst., 2022

CATFPN: Adaptive Feature Pyramid With Scale-Wise Concatenation and Self-Attention.
IEEE Trans. Circuits Syst. Video Technol., 2022

2021
BER Performance Analysis of Hybrid Carrier Framework with IQ Imbalance Compensation.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

2020
3D Parallel Fully Convolutional Networks for Real-Time Video Wildfire Smoke Detection.
IEEE Trans. Circuits Syst. Video Technol., 2020

Pedestrian detection via deep segmentation and context network.
Neural Comput. Appl., 2020

3D video semantic segmentation for wildfire smoke.
Mach. Vis. Appl., 2020

Face hallucination with K-means++ dictionary learning.
Multim. Tools Appl., 2020

Lightened SphereFace for face recognition.
J. Electronic Imaging, 2020

2019
Deep Saliency With Channel-Wise Hierarchical Feature Responses for Traffic Sign Detection.
IEEE Trans. Intell. Transp. Syst., 2019

Real-time pedestrian detection with deep supervision in the wild.
Signal Image Video Process., 2019

Face recognition using AMVP and WSRC under variable illumination and pose.
Neural Comput. Appl., 2019

Two-stage local details restoration framework for face hallucination.
Mach. Vis. Appl., 2019

Saliency object detection: integrating reconstruction and prior.
Mach. Vis. Appl., 2019

Sketch Face Recognition: P-HOG Multi-Features Fusion.
Int. J. Pattern Recognit. Artif. Intell., 2019

2018
Traffic flow detection and statistics via improved optical flow and connected region analysis.
Signal Image Video Process., 2018

Face sketch-photo synthesis and recognition: Dual-scale Markov Network and multi-information fusion.
J. Vis. Commun. Image Represent., 2018

Cascade heterogeneous face sketch-photo synthesis via dual-scale Markov Network.
J. Exp. Theor. Artif. Intell., 2018

Deep saliency detection via channel-wise hierarchical feature responses.
Neurocomputing, 2018

Channel-Wise Feature Response Based Deep Saliency Detection.
Proceedings of the 3rd International Conference on Advanced Robotics and Mechatronics, 2018

2017
Illumination and pose variable face recognition via adaptively weighted ULBP_MHOG and WSRC.
Signal Process. Image Commun., 2017

Saliency detection: Multi-level combination approach via graph-based manifold ranking.
Proceedings of the 13th International Conference on Natural Computation, 2017

2016
Salient object detection via images frequency domain analyzing.
Signal Image Video Process., 2016

Multiview road sign detection via self-adaptive color model and shape context matching.
J. Electronic Imaging, 2016

Low-Resolution Face Recognition of Multi-Scale Blocking CS-LBP and Weighted PCA.
Int. J. Pattern Recognit. Artif. Intell., 2016

Fast Face Sketch-Photo Image Synthesis and Recognition.
Int. J. Pattern Recognit. Artif. Intell., 2016

Sentiment analysis method based on context view.
Proceedings of the 12th International Conference on Natural Computation, 2016

2014
Illumination Processing in Face Recognition.
Int. J. Pattern Recognit. Artif. Intell., 2014

Face recognition algorithm based on improved facial model.
Proceedings of the 10th International Conference on Natural Computation, 2014


  Loading...