Houjing Huang

Orcid: 0000-0002-5705-2480

According to our database1, Houjing Huang authored at least 13 papers between 2018 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2023
Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA.
CoRR, 2023

2022
Bottom-Up Foreground-Aware Feature Fusion for Practical Person Search.
IEEE Trans. Circuits Syst. Video Technol., 2022

Applying Deep Reinforcement Learning to the HP Model for Protein Structure Prediction.
CoRR, 2022

A Closer Look at Few-shot Image Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Rethinking of Pedestrian Attribute Recognition: A Reliable Evaluation under Zero-Shot Pedestrian Identity Setting.
CoRR, 2021

2020
Improve Person Re-Identification With Part Awareness Learning.
IEEE Trans. Image Process., 2020

Rethinking of Pedestrian Attribute Recognition: Realistic Datasets with Efficient Method.
CoRR, 2020

Proxy Task Learning For Cross-Domain Person Re-Identification.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Human Parsing Based Alignment With Multi-Task Learning For Occluded Person Re-Identification.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

End-to-End Thorough Body Perception for Person Search.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Towards Rich Feature Discovery With Class Activation Maps Augmentation for Person Re-Identification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
EANet: Enhancing Alignment for Cross-Domain Person Re-identification.
CoRR, 2018

Adversarially Occluded Samples for Person Re-Identification.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018


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