Bo Li

Orcid: 0000-0001-7817-0665

Affiliations:

Tencent, Youtu Lab, Shanghai, China

According to our database¹, Bo Li authored at least 48 papers between 2021 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

Towards Training-Free Open-World Segmentation via Image Prompt Foundation Models.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., January, 2025

2024

From Composited to Real-World: Transformer-Based Natural Image Matting.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., April, 2024

MFAE: Masked Frequency Autoencoders for Domain Generalization Face Anti-Spoofing.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2024

Advancing Comprehensive Aesthetic Insight with Multi-Scale Text-Guided Self-Supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2024

ClearSR: Latent Low-Resolution Image Embeddings Help Diffusion-Based Real-World Super Resolution Models See Clearer.

[BibT_eX]

[DOI]

CoRR, 2024

ConsisSR: Delving Deep into Consistency in Diffusion-based Image Super-Resolution.

[BibT_eX]

[DOI]

CoRR, 2024

High-Precision Dichotomous Image Segmentation via Probing Diffusion Capacity.

[BibT_eX]

[DOI]

CoRR, 2024

Scalable Visual State Space Model with Fractal Scanning.

[BibT_eX]

[DOI]

CoRR, 2024

Crafter: Facial Feature Crafting against Inversion-based Identity Theft on Deep Models.

[BibT_eX]

[DOI]

Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024

Non-uniform Timestep Sampling: Towards Faster Diffusion Model Training.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Chain of Visual Perception: Harnessing Multimodal Large Language Models for Zero-shot Camouflaged Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Improving Adversarial Energy-Based Model via Diffusion Process.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Zero-Shot Co-Salient Object Detection Framework.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Beta-Tuned Timestep Diffusion Model.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Mono-ViFI: A Unified Learning Framework for Self-supervised Single and Multi-frame Monocular Depth Estimation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

SAFNet: Selective Alignment Fusion Network for Efficient HDR Imaging.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

ASAM: Boosting Segment Anything Model with Adversarial Tuning.

[BibT_eX]

[DOI]

Bo Li

Haoke Xiao

Lv Tang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Query-Efficient Decision-Based Black-Box Patch Attack.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2023

Generalization and Hallucination of Large Vision-Language Models through a Camouflaged Lens.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Towards Training-free Open-world Segmentation via Image Prompting Foundation Models.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Generalizable Data Protection With Transferable Unlearnable Examples.

[BibT_eX]

[DOI]

CoRR, 2023

Re-thinking Data Availablity Attacks Against Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Content-based Unrestricted Adversarial Attack.

[BibT_eX]

[DOI]

CoRR, 2023

Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection.

[BibT_eX]

[DOI]

Lv Tang

Haoke Xiao

Bo Li

CoRR, 2023

Efficient Decision-based Black-box Patch Attacks on Video Recognition.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Decision-based Sparse Attacks on Video Recognition.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Efficient Decision-based Black-box Patch Attacks on Video Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Rethinking the Learning Paradigm for Dynamic Facial Expression Recognition.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Delving into the Adversarial Robustness of Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Toward Stable Co-Saliency Detection and Object Co-Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2022

Re-Thinking the Relations in Co-Saliency Detection.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

R2Net: Relight the restored low-light image based on complementarity of illumination and reflection.

[BibT_eX]

[DOI]

Signal Process. Image Commun., 2022

Towards Stable Co-saliency Detection and Object Co-segmentation.

[BibT_eX]

[DOI]

CoRR, 2022

DENSE: Data-Free One-Shot Federated Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Rethinking Two-B-Real Net for Real-Time Salient Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Shape Matters: Deformable Patch Attack.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Detecting Camouflaged Object in Frequency Domain.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Towards Practical Certifiable Patch Defense with Vision Transformer.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Towards Efficient Data Free Blackbox Adversarial Attack.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2021

Disentangled High Quality Salient Object Detection.

[BibT_eX]

[DOI]

CoRR, 2021

Detecting Adversarial Patch Attacks through Global-local Consistency.

[BibT_eX]

[DOI]

Proceedings of the ADVM '21: Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia, 2021

Disentangled High Quality Salient Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Fast: Feature Aggregation for Detecting Salient Object in Real-Time.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Highly Efficient Natural Image Matting.

[BibT_eX]

[DOI]

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Bo Li

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...