6 papers
Sense it with your eyes: Sensation Generation and Understanding for Advertisements
Aysan Aghazadeh, Sina Malakouti, Adriana Kovashka
Sensory advertising evokes human senses through visual cues, enabling audiences to mentally simulate experiences and increasing persuasive impact. Despite the recent increase in us…
Culture in Action: Evaluating Text-to-Image Models through Social Activities
Sina Malakouti, Boqing Gong, Adriana Kovashka
Text-to-image (T2I) diffusion models achieve impressive photorealism by training on large-scale web data, but models inherit cultural biases and fail to depict underrepresented reg…
Role Bias in Diffusion Models: Diagnosing and Mitigating through Intermediate Decomposition
Sina Malakouti, Adriana Kovashka
Text-to-image (T2I) diffusion models exhibit impressive photorealistic image generation capabilities, yet they struggle in compositional image generation. In this work, we introduc…
Benchmarking VLMs' Reasoning About Persuasive Atypical Images
Sina Malakouti, Aysan Aghazadeh, Ashmit Khandelwal +1
Vision language models (VLMs) have shown strong zero-shot generalization across various tasks, especially when integrated with large language models (LLMs). However, their ability…
Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object Recognition
Kyle Buettner, Sina Malakouti, Xiang Lorraine Li +1
Existing object recognition models have been shown to lack robustness in diverse geographical scenarios due to domain shifts in design and context. Class representations need to be…
Semi-Supervised Domain Generalization for Object Detection via Language-Guided Feature Alignment
Sina Malakouti, Adriana Kovashka
Existing domain adaptation (DA) and generalization (DG) methods in object detection enforce feature alignment in the visual space but face challenges like object appearance variabi…