SubjectPresenterDateTimeType
A Cat Is A Cat (Not A Dog!): Unraveling Information Mix-ups in Text-to-Image Encoders through Causal Analysis and Embedding OptimizationAmir Kasaei2025/06/1016:45 (UTC+3:30)Public
Erasing Undesirable Concepts in Diffusion Models with Adversarial PreservationAryan Komaei2025/06/0316:45 (UTC+3:30)Public
Data Unlearning in Diffusion ModelsAryan Komaei2025/05/2716:45 (UTC+3:30)Public
Boosting Alignment for Post-Unlearning Text-to-Image Generative ModelsAryan Komaei2025/05/2016:45 (UTC+3:30)Public
Correcting Diffusion Generation through ResamplingAli Aghayari2025/02/0417:30 (UTC+3:30)Public
Can We Generate Images with CoT? Let’s Verify and Reinforce Image Generation Step by StepAmir Kasaei2025/01/2814:15 (UTC+3:30)Public
GenArtist: Multimodal LLM as an Agent for Unified Image Generation and EditingDr MH Rohban2024/12/2515:30 (UTC+3:30)Public
Counting Understanding in Visoin Language ModelsArash Marioriyad2024/11/1717:00 (UTC+3:30)Public
Backdooring Bias into Text-to-Image ModelsMehrdad Aksari Mahabadi2024/10/2717:00 (UTC+3:30)Public
InitNO: Boosting Text-to-Image Diffusion Models via Initial Noise OptimizationAmir Kasaei2024/10/2017:00 (UTC+3:30)Public
A semiotic methodology for assessing the compositional effectiveness of generative text-to-image modelsAmir Kasaei2024/10/0617:00 (UTC+3:30)Public
ComAlign: Compositional Alignment in Vision-Language ModelsAli Abdollahi2024/09/2810:00 (UTC+3:30)Private
Divide, Evaluate, and Refine: Evaluating and Improving Text-to-Image Alignment with Iterative VQA FeedbackAmir Kasaei2024/09/1514:00 (UTC+3:30)Public
CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept MatchingArash Marioriyad2024/09/0815:30 (UTC+3:30)Public
Understanding and Mitigating Compositional Issues in Text-to-Image Generative ModelsDr MH Rohban2024/09/0115:30 (UTC+3:30)Private