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20172024
most citedPixel-in-Pixel Net: Towards Efficient Facial Landmark Detection in the Wild

149 citations · 184 across the 13 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.CR2023★ 2 cited

EditShield: Protecting Unauthorized Image Editing by Instruction-guided Diffusion Models

Ruoxi Chen, Haibo Jin, Yixin Liu +3

Text-to-image diffusion models have emerged as an evolutionary for producing creative content in image synthesis. Based on the impressive generation abilities of these models, inst…

cs.CV2023★ 3 cited

Unsupervised Domain Adaptation for Anatomical Landmark Detection

Haibo Jin, Haoxuan Che, Hao Chen

Recently, anatomical landmark detection has achieved great progresses on single-domain data, which usually assumes training and test sets are from the same domain. However, such an…

cs.CV2023★ 3 cited

PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation

Haibo Jin, Haoxuan Che, Yi Lin +1

Automatic medical report generation (MRG) is of great research value as it has the potential to relieve radiologists from the heavy burden of report writing. Despite recent advance…

cs.CV2023★ 1 cited

Towards Generalizable Diabetic Retinopathy Grading in Unseen Domains

Haoxuan Che, Yuhan Cheng, Haibo Jin +1

Diabetic Retinopathy (DR) is a common complication of diabetes and a leading cause of blindness worldwide. Early and accurate grading of its severity is crucial for disease managem…

cs.SE2023★ 1 cited

CertPri: Certifiable Prioritization for Deep Neural Networks via Movement Cost in Feature Space

Haibin Zheng, Jinyin Chen, Haibo Jin

Deep neural networks (DNNs) have demonstrated their outperformance in various software systems, but also exhibit misbehavior and even result in irreversible disasters. Therefore, i…

cs.CR2023

AdvCheck: Characterizing Adversarial Examples via Local Gradient Checking

Ruoxi Chen, Haibo Jin, Jinyin Chen +1

Deep neural networks (DNNs) are vulnerable to adversarial examples, which may lead to catastrophe in security-critical domains. Numerous detection methods are proposed to character…