Chih-Ting Liu

Orcid: 0000-0002-1220-9149

According to our database1, Chih-Ting Liu authored at least 18 papers between 2017 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Pomo3D: 3D-Aware Portrait Accessorizing and More.
CoRR, 2024

2022
FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Hard Samples Rectification for Unsupervised Cross-Domain Person Re-Identification.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Interactive Object Segmentation With Dynamic Click Transform.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Tracklet-Refined Multi-Camera Tracking Based on Balanced Cross-Domain Re-Identification for Vehicles.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Video-Based Person Re-Identification Without Bells and Whistles.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Semantics-Guided Clustering with Deep Progressive Learning for Semi-Supervised Person Re-identification.
CoRR, 2020

Space-Time Guided Association Learning For Unsupervised Person Re-Identification.
Proceedings of the IEEE International Conference on Image Processing, 2020

Orientation-Aware Vehicle Re-Identification with Semantics-Guided Part Attention Network.
Proceedings of the Computer Vision - ECCV 2020, 2020

Constraint-Aware Importance Estimation for Global Filter Pruning under Multiple Resource Constraints.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Viewpoint-aware Channel-wise Attentive Network for Vehicle Re-identification.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Computation-Performance Optimization of Convolutional Neural Networks With Redundant Filter Removal.
IEEE Trans. Circuits Syst. I Regul. Pap., 2019

Increasing Compactness of Deep Learning Based Speech Enhancement Models With Parameter Pruning and Quantization Techniques.
IEEE Signal Process. Lett., 2019

Supervised Joint Domain Learning for Vehicle Re-Identification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
Computation-Performance Optimization of Convolutional Neural Networks with Redundant Kernel Removal.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Vehicle Re-Identification With the Space-Time Prior.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
A Kernel Redundancy Removing Policy for Convolutional Neural Network.
CoRR, 2017


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