Huajun Zhou

Orcid: 0000-0002-1419-5422

According to our database1, Huajun Zhou authored at least 25 papers between 2017 and 2024.

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

Timeline

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Links

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Bibliography

2024
Benchmarking deep models on salient object detection.
Pattern Recognit., January, 2024

Adaptive Design of Experiments for Fault Injection Testing of Highly Automated Vehicles.
IEEE Intell. Transp. Syst. Mag., 2024

Multimodal Data Integration for Precision Oncology: Challenges and Future Directions.
CoRR, 2024

Cohort-Individual Cooperative Learning for Multimodal Cancer Survival Analysis.
CoRR, 2024

Anatomy-Guided Fiber Trajectory Distribution Estimation for Cranial Nerves Tractography.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
Activation to Saliency: Forming High-Quality Labels for Unsupervised Salient Object Detection.
IEEE Trans. Circuits Syst. Video Technol., February, 2023

Few Shot Object Detection with Incompletely Annotated Samples.
Proceedings of the International Joint Conference on Neural Networks, 2023

Unsupervised 3D Face Reconstruction with Reprogramming Skip Connections.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Texture-Guided Saliency Distilling for Unsupervised Salient Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Scenario-Based Test Automation for Highly Automated Vehicles: A Review and Paving the Way for Systematic Safety Assurance.
IEEE Trans. Intell. Transp. Syst., 2022

Adaptive Design of Experiments for Safety Evaluation of Automated Vehicles.
IEEE Trans. Intell. Transp. Syst., 2022

Selective Intra-Image Similarity for Personalized Fixation-Based Object Segmentation.
IEEE Trans. Circuits Syst. Video Technol., 2022

Appearance-guided Attentive Self-Paced Learning for Unsupervised Salient Object Detection.
CoRR, 2022

Risk Assessment of Highly Automated Vehicles with Naturalistic Driving Data: A Surrogate-based optimization Method.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Cross-level Attention and Ratio Consistency Network for Ship Detection.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021
Contour-Aware Loss: Boundary-Aware Learning for Salient Object Segmentation.
IEEE Trans. Image Process., 2021

Activation to Saliency: Forming High-Quality Labels for Completely Unsupervised Salient Object Detection.
CoRR, 2021

Scale-Aware Multi-branch Decoder for Salient Object Detection.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Confidence-Guided Adaptive Gate and Dual Differential Enhancement for Video Salient Object Detection.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2020
Adaptive Design of Experiments for Accelerated Safety Evaluation of Automated Vehicles.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Interactive Two-Stream Decoder for Accurate and Fast Saliency Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Deep networks with non-static activation function.
Multim. Tools Appl., 2019

Contour Loss: Boundary-Aware Learning for Salient Object Segmentation.
CoRR, 2019

2017
Inception Single Shot MultiBox Detector for object detection.
Proceedings of the 2017 IEEE International Conference on Multimedia & Expo Workshops, 2017

CAD: Scale Invariant Framework for Real-Time Object Detection.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017


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