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Showing 151175 of 5387 papers

TitleStatusHype
SEED: A Benchmark Dataset for Sequential Facial Attribute Editing with Diffusion ModelsCode1
One Image is Worth a Thousand Words: A Usability Preservable Text-Image Collaborative Erasing FrameworkCode1
Introducing voice timbre attribute detectionCode1
MUSAR: Exploring Multi-Subject Customization from Single-Subject Dataset via Attention RoutingCode1
Learning to Attribute with AttentionCode1
Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical ImagingCode1
Beyond the Next Token: Towards Prompt-Robust Zero-Shot Classification via Efficient Multi-Token PredictionCode1
Q-Adapt: Adapting LMM for Visual Quality Assessment with Progressive Instruction TuningCode1
Do Theory of Mind Benchmarks Need Explicit Human-like Reasoning in Language Models?Code1
EagleVision: Object-level Attribute Multimodal LLM for Remote SensingCode1
FaceBench: A Multi-View Multi-Level Facial Attribute VQA Dataset for Benchmarking Face Perception MLLMsCode1
Fine-Grained Evaluation of Large Vision-Language Models in Autonomous DrivingCode1
Demand Estimation with Text and Image DataCode1
Attention IoU: Examining Biases in CelebA using Attention MapsCode1
Fine-grained Textual Inversion Network for Zero-Shot Composed Image RetrievalCode1
Missing Target-Relevant Information Prediction with World Model for Accurate Zero-Shot Composed Image RetrievalCode1
Exploring Contextual Attribute Density in Referring Expression CountingCode1
Can Large Reasoning Models do Analogical Reasoning under Perceptual Uncertainty?Code1
NullFace: Training-Free Localized Face AnonymizationCode1
Generating Novel Brain Morphology by Deforming Learned TemplatesCode1
ToLo: A Two-Stage, Training-Free Layout-To-Image Generation Framework For High-Overlap LayoutsCode1
SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation ModelsCode1
Aligning LLMs to Ask Good Questions A Case Study in Clinical ReasoningCode1
Model Generalization on Text Attribute Graphs: Principles with Large Language ModelsCode1
Knowing Your Target: Target-Aware Transformer Makes Better Spatio-Temporal Video GroundingCode1
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