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07/03/2023
OpenClinicalAI: An Open and Dynamic Model for Alzheimer's Disease Diagnosis
Although Alzheimer's disease (AD) cannot be reversed or cured, timely di...
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07/03/2023
OpenAPMax: Abnormal Patterns-based Model for Real-World Alzheimer's Disease Diagnosis
Alzheimer's disease (AD) cannot be reversed, but early diagnosis will si...
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05/29/2023
Photoswap: Personalized Subject Swapping in Images
In an era where images and visual content dominate our digital landscape...
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05/17/2023
DualVector: Unsupervised Vector Font Synthesis with Dual-Part Representation
Automatic generation of fonts can be an important aid to typeface design...
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04/12/2023
Improving Diffusion Models for Scene Text Editing with Dual Encoders
Scene text editing is a challenging task that involves modifying or inse...
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02/24/2023
Modulating Pretrained Diffusion Models for Multimodal Image Synthesis
We present multimodal conditioning modules (MCM) for enabling conditiona...
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12/02/2022
ObjectStitch: Generative Object Compositing
Object compositing based on 2D images is a challenging problem since it ...
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07/31/2022
Toward Understanding WordArt: Corner-Guided Transformer for Scene Text Recognition
Artistic text recognition is an extremely challenging task with a wide r...
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06/28/2022
SImProv: Scalable Image Provenance Framework for Robust Content Attribution
We present SImProv - a scalable image provenance framework to match a qu...
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06/05/2022
Vanilla Feature Distillation for Improving the Accuracy-Robustness Trade-Off in Adversarial Training
Adversarial training has been widely explored for mitigating attacks aga...
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03/03/2022
Fairness-aware Adversarial Perturbation Towards Bias Mitigation for Deployed Deep Models
Prioritizing fairness is of central importance in artificial intelligenc...
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09/09/2021
OpenClinicalAI: enabling AI to diagnose diseases in real-world clinical settings
This paper quantitatively reveals the state-of-the-art and state-of-the-...
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07/29/2021
Feature Importance-aware Transferable Adversarial Attacks
Transferability of adversarial examples is of central importance for att...
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06/12/2021
A Multi-Implicit Neural Representation for Fonts
Fonts are ubiquitous across documents and come in a variety of styles. T...
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11/27/2020
Rethinking Text Segmentation: A Novel Dataset and A Text-Specific Refinement Approach
Text segmentation is a prerequisite in many real-world text-related task...
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12/01/2019
Texture Hallucination for Large-Scale Painting Super-Resolution
We aim to super-resolve digital paintings, synthesizing realistic detail...
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06/01/2019
A Semantic-based Medical Image Fusion Approach
It is necessary for clinicians to comprehensively analyze patient inform...
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05/08/2019
A new direction to promote the implementation of artificial intelligence in natural clinical settings
Artificial intelligence (AI) researchers claim that they have made great...
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03/03/2019
Image Super-Resolution by Neural Texture Transfer
Due to the significant information loss in low-resolution (LR) images, i...
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01/03/2019
Landscape of Big Medical Data: A Pragmatic Survey on Prioritized Tasks
Big medical data poses great challenges to life scientists, clinicians, ...
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12/03/2018
Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning
Federated learning, i.e., a mobile edge computing framework for deep lea...
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04/10/2018
Reference-Conditioned Super-Resolution by Neural Texture Transfer
With the recent advancement in deep learning, we have witnessed a great ...
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01/21/2018
Decoupled Learning for Conditional Adversarial Networks
Incorporating encoding-decoding nets with adversarial nets has been wide...
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06/02/2017
r-BTN: Cross-domain Face Composite and Synthesis from Limited Facial Patches
We start by asking an interesting yet challenging question, "If an eyewi...
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02/27/2017
