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Bin Li*

4 accepted papers

2024

EAFormer: Scene Text Segmentation with Edge-Aware Transformers

ECCV 2024poster

"Scene text segmentation aims at cropping texts from scene images, which is usually used to help generative models edit or remove texts. The existing text segmentation methods tend to involve various text-related supervisions for better performance. However, most of them ignore the importance of tex…

2024

Fake It till You Make It: Curricular Dynamic Forgery Augmentations towards General Deepfake Detection

ECCV 2024poster

"Previous studies in deepfake detection have shown promising results when testing face forgeries from the same dataset as the training. However, the problem remains challenging when one tries to generalize the detector to forgeries from unseen datasets and created by unseen methods. In this work, we…

Cited by 13SourcePDFScholar
2024

FedRA: A Random Allocation Strategy for Federated Tuning to Unleash the Power of Heterogeneous Clients

ECCV 2024poster

"With the increasing availability of Foundation Models, federated tuning has garnered attention in the field of federated learning, utilizing data and computation resources from multiple clients to collaboratively fine-tune foundation models. However, in real-world federated scenarios, there often e…

2024

Infinite-ID: Identity-preserved Personalization via ID-semantics Decoupling Paradigm

ECCV 2024poster

"Drawing on recent advancements in diffusion models for text-to-image generation, identity-preserved personalization has made significant progress in accurately capturing specific identities with just a single reference image. However, existing methods primarily integrate reference images within the…

Cited by 17SourcePDFScholar