Yanbo Fan

Orcid: 0000-0002-8530-485X

According to our database1, Yanbo Fan authored at least 60 papers between 2015 and 2025.

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

Timeline

Legend:

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Bibliography

2025
Understanding adversarial robustness against on-manifold adversarial examples.
Pattern Recognit., 2025

2024
Regional Adversarial Training for Better Robust Generalization.
Int. J. Comput. Vis., October, 2024

Generalizable Black-Box Adversarial Attack With Meta Learning.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

Bridging 3D Gaussian and Mesh for Freeview Video Rendering.
CoRR, 2024

Learning Pseudo 3D Guidance for View-Consistent Texturing with 2D Diffusion.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
GREEN: A Global Energy Efficiency Maximization Strategy for Multi-UAV Enabled Communication Systems.
IEEE Trans. Mob. Comput., December, 2023

Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients.
Mach. Intell. Res., October, 2023

Fast Adversarial Training With Adaptive Step Size.
IEEE Trans. Image Process., 2023

VDTR: Video Deblurring With Transformer.
IEEE Trans. Circuits Syst. Video Technol., 2023

Robust Physical-World Attacks on Face Recognition.
Pattern Recognit., 2023

VectorTalker: SVG Talking Face Generation with Progressive Vectorisation.
CoRR, 2023

Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs.
CoRR, 2023

Boosting Backdoor Attack with A Learnable Poisoning Sample Selection Strategy.
CoRR, 2023

Sampling-based Fast Gradient Rescaling Method for Highly Transferable Adversarial Attacks.
CoRR, 2023

Robust Backdoor Attack with Visible, Semantic, Sample-Specific, and Compatible Triggers.
CoRR, 2023

NOFA: NeRF-based One-shot Facial Avatar Reconstruction.
Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Enhancing Fine-Tuning based Backdoor Defense with Sharpness-Aware Minimization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ToonTalker: Cross-Domain Face Reenactment.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

UCF: Uncovering Common Features for Generalizable Deepfake Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

3D GAN Inversion with Facial Symmetry Prior.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DPE: Disentanglement of Pose and Expression for General Video Portrait Editing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

High-fidelity Facial Avatar Reconstruction from Monocular Video with Generative Priors.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Semi-supervised robust training with generalized perturbed neighborhood.
Pattern Recognit., 2022

Average Top-k Aggregate Loss for Supervised Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Adversarial Rademacher Complexity of Deep Neural Networks.
CoRR, 2022

Adaptive Smoothness-weighted Adversarial Training for Multiple Perturbations with Its Stability Analysis.
CoRR, 2022

Improving the Latent Space of Image Style Transfer.
CoRR, 2022

Stability Analysis and Generalization Bounds of Adversarial Training.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

HyP<sup>2</sup> Loss: Beyond Hypersphere Metric Space for Multi-label Image Retrieval.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN.
Proceedings of the Computer Vision - ECCV 2022, 2022

A Large-Scale Multiple-objective Method for Black-box Attack Against Object Detection.
Proceedings of the Computer Vision - ECCV 2022, 2022

Towards Real-World Video Deblurring by Exploring Blur Formation Process.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

High-Fidelity GAN Inversion for Image Attribute Editing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Regional Adversarial Training for Better Robust Generalization.
CoRR, 2021

Theoretical Study of Random Noise Defense against Query-Based Black-Box Attacks.
CoRR, 2021

Random Noise Defense Against Query-Based Black-Box Attacks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesis.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Dual ResGCN for Balanced Scene GraphGeneration.
CoRR, 2020

Efficient Black-Box Adversarial Attack Guided by the Distribution of Adversarial Perturbations.
CoRR, 2020

Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients.
CoRR, 2020

Toward Adversarial Robustness via Semi-supervised Robust Training.
CoRR, 2020

Controllable Descendant Face Synthesis.
CoRR, 2020

Context-Aware Cross-Attention for Skeleton-Based Human Action Recognition.
IEEE Access, 2020

Groupwise Ranking Loss for Multi-Label Learning.
IEEE Access, 2020

Sparse Adversarial Attack via Perturbation Factorization.
Proceedings of the Computer Vision - ECCV 2020, 2020

3D Single-Person Concurrent Activity Detection Using Stacked Relation Network.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning.
CoRR, 2019

Semi-Supervised Deep Neural Network for Joint Intensity Estimation of Multiple Facial Action Units.
IEEE Access, 2019

Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning.
IEEE Access, 2019

Context-Aware Feature and Label Fusion for Facial Action Unit Intensity Estimation With Partially Labeled Data.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Compressing Convolutional Neural Networks via Factorized Convolutional Filters.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Exact Adversarial Attack to Image Captioning via Structured Output Learning With Latent Variables.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017
Robust Localized Multi-view Subspace Clustering.
CoRR, 2017

Learning with Average Top-k Loss.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Self-Paced Learning: An Implicit Regularization Perspective.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2015
Global and local consistent multi-view subspace clustering.
Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015


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