Junhao Dong

Orcid: 0000-0002-6232-9157

According to our database1, Junhao Dong authored at least 26 papers between 2020 and 2025.

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

Timeline

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Bibliography

2025
Survey on Adversarial Attack and Defense for Medical Image Analysis: Methods and Challenges.
ACM Comput. Surv., March, 2025

2024
NuSEA: Nuclei Segmentation With Ellipse Annotations.
IEEE J. Biomed. Health Informatics, October, 2024

Boundary-refined prototype generation: A general end-to-end paradigm for semi-supervised semantic segmentation.
Eng. Appl. Artif. Intell., 2024

A Grey-box Attack against Latent Diffusion Model-based Image Editing by Posterior Collapse.
CoRR, 2024

Exploring Adversarial Attacks against Latent Diffusion Model from the Perspective of Adversarial Transferability.
CoRR, 2024

FineCLIPER: Multi-modal Fine-grained CLIP for Dynamic Facial Expression Recognition with AdaptERs.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Adversarially Robust Distillation by Reducing the Student-Teacher Variance Gap.
Proceedings of the Computer Vision - ECCV 2024, 2024

Artwork Protection Against Neural Style Transfer Using Locally Adaptive Adversarial Color Attack.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Toward Intrinsic Adversarial Robustness Through Probabilistic Training.
IEEE Trans. Image Process., 2023

Restricted Black-Box Adversarial Attack Against DeepFake Face Swapping.
IEEE Trans. Inf. Forensics Secur., 2023

Now and Future of Artificial Intelligence-based Signet Ring Cell Diagnosis: A Survey.
CoRR, 2023

Boundary-Refined Prototype Generation: A General End-to-End Paradigm for Semi-Supervised Semantic Segmentation.
CoRR, 2023

Releasing Inequality Phenomena in L<sub>∞</sub>-Adversarial Training via Input Gradient Distillation.
CoRR, 2023

Adversarial Attack and Defense for Medical Image Analysis: Methods and Applications.
CoRR, 2023

Feature Disentanglement and Adaptive Fusion for Improving Multi-modal Tracking.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Modality Balancing Mechanism for RGB-Infrared Object Detection in Aerial Image.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

The Enemy of My Enemy is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
MT2: Multi-task Mean Teacher for Semi-Supervised Cell Segmentation.
Proceedings of The Cell Segmentation Challenge in Multi-modality High-Resolution Microscopy Images, 2022

Learning Bi-directional Feature Propagation with Latent Layout Modeling for Group Re-identification.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Improving Adversarially Robust Few-shot Image Classification with Generalizable Representations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Visually Maintained Image Disturbance Against Deepfake Face Swapping.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

GIAOTracker: A comprehensive framework for MCMOT with global information and optimizing strategies in VisDrone 2021.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Adversarial Training Inspired Self-attention Flow for Universal Image Style Transfer.
Proceedings of the Pattern Recognition - 6th Asian Conference, 2021

2020
GT-GAN: A General Transductive Zero-Shot Learning Method Based on GAN.
IEEE Access, 2020


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