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Showing 1951–1975 of 5387 papers

TitleStatusHype
Exploring Position Encoding in Diffusion U-Net for Training-free High-resolution Image Generation—0
Exploring Primitive Visual Measurement Understanding and the Role of Output Format in Learning in Vision-Language Models—0
FICGAN: Facial Identity Controllable GAN for De-identification—0
Debiasing Large Vision-Language Models by Ablating Protected Attribute Representations—0
Exploring the Distribution Regularities of User Attention and Sentiment toward Product Aspects in Online Reviews—0
Exploring the Feasibility of AI-Assisted Spine MRI Protocol Optimization Using DICOM Image Metadata—0
ChatFace: Chat-Guided Real Face Editing via Diffusion Latent Space Manipulation—0
A Backbone Replaceable Fine-tuning Framework for Stable Face Alignment—0
ADFQ-ViT: Activation-Distribution-Friendly Post-Training Quantization for Vision Transformers—0
Feasibility with Language Models for Open-World Compositional Zero-Shot Learning—0
Debiasing Classifiers by Amplifying Bias with Latent Diffusion and Large Language Models—0
Exploring Vision Language Models for Facial Attribute Recognition: Emotion, Race, Gender, and Age—0
EXPLORING VULNERABILITIES OF BERT-BASED APIS—0
Exploring Architectures for CNN-Based Word Spotting—0
Attributes-aided Part Detection and Refinement for Person Re-identification—0
Expression Conditional GAN for Facial Expression-to-Expression Translation—0
FDS: Frequency-Aware Denoising Score for Text-Guided Latent Diffusion Image Editing—0
Feature Allocation for Semantic Communication with Space-Time Importance Awareness—0
De-Bias for Generative Extraction in Unified NER Task—0
Debiased Distillation by Transplanting the Last Layer—0
Analyzing Bias in Diffusion-based Face Generation Models—0
Extracting Actionability from Machine Learning Models by Sub-optimal Deterministic Planning—0
Extracting Adverse Drug Event Information with Minimal Engineering—0
DebiasDiff: Debiasing Text-to-image Diffusion Models with Self-discovering Latent Attribute Directions—0
Attribute Relation Extraction from Template-inconsistent Semi-structured Text by Leveraging Site-level Knowledge—0
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