Bo Li

Orcid: 0000-0001-7817-0665

Affiliations:
  • Tencent, Youtu Lab, Shanghai, China


According to our database1, Bo Li authored at least 29 papers between 2021 and 2024.

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

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
From Composited to Real-World: Transformer-Based Natural Image Matting.
IEEE Trans. Circuits Syst. Video Technol., April, 2024

MFAE: Masked Frequency Autoencoders for Domain Generalization Face Anti-Spoofing.
IEEE Trans. Inf. Forensics Secur., 2024

2023
Query-Efficient Decision-Based Black-Box Patch Attack.
IEEE Trans. Inf. Forensics Secur., 2023

Exploring Decision-based Black-box Attacks on Face Forgery Detection.
CoRR, 2023

Query-Efficient Decision-based Black-Box Patch Attack.
CoRR, 2023

Towards Generalizable Data Protection With Transferable Unlearnable Examples.
CoRR, 2023

Re-thinking Data Availablity Attacks Against Deep Neural Networks.
CoRR, 2023

Content-based Unrestricted Adversarial Attack.
CoRR, 2023

Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection.
CoRR, 2023

Towards Decision-based Sparse Attacks on Video Recognition.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Rethinking the Learning Paradigm for Dynamic Facial Expression Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Attack Can Benefit: An Adversarial Approach to Recognizing Facial Expressions under Noisy Annotations.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Delving into the Adversarial Robustness of Federated Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Toward Stable Co-Saliency Detection and Object Co-Segmentation.
IEEE Trans. Image Process., 2022

Re-Thinking the Relations in Co-Saliency Detection.
IEEE Trans. Circuits Syst. Video Technol., 2022

Towards Stable Co-saliency Detection and Object Co-segmentation.
CoRR, 2022

DENSE: Data-Free One-Shot Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Federated Learning with Label Distribution Skew via Logits Calibration.
Proceedings of the International Conference on Machine Learning, 2022

Rethinking Two-B-Real Net for Real-Time Salient Object Detection.
Proceedings of the IEEE International Conference on Acoustics, 2022

Shape Matters: Deformable Patch Attack.
Proceedings of the Computer Vision - ECCV 2022, 2022

Detecting Camouflaged Object in Frequency Domain.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Towards Practical Certifiable Patch Defense with Vision Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Towards Efficient Data Free Blackbox Adversarial Attack.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
A Practical Data-Free Approach to One-shot Federated Learning with Heterogeneity.
CoRR, 2021

Disentangled High Quality Salient Object Detection.
CoRR, 2021

Detecting Adversarial Patch Attacks through Global-local Consistency.
Proceedings of the ADVM '21: Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia, 2021

Disentangled High Quality Salient Object Detection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Fast: Feature Aggregation for Detecting Salient Object in Real-Time.
Proceedings of the IEEE International Conference on Acoustics, 2021

Highly Efficient Natural Image Matting.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021


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