activity
20242026
collaborators

11 papers

cs.CV2026

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…

cs.CV2026

Learning Consistent Temporal Grounding between Related Tasks in Sports Coaching

Arushi Rai, Adriana Kovashka

Video-LLMs often attend to irrelevant frames, which is especially detrimental for sports coaching tasks requiring precise temporal grounding. Yet obtaining frame-level supervision…

cs.CV2026

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…

cs.CV2026

Generalizing Sports Feedback Generation by Watching Competitions and Reading Books: A Rock Climbing Case Study

Arushi Rai, Adriana Kovashka

While there is rapid progress in video-LLMs with advanced reasoning capabilities, prior work shows that these models struggle on the challenging task of sports feedback generation…

cs.CV2025

A Multimodal Recaptioning Framework to Account for Perceptual Diversity Across Languages in Vision-Language Modeling

Kyle Buettner, Jacob T. Emmerson, Adriana Kovashka

When captioning an image, people describe objects in diverse ways, such as by using different terms and/or including details that are perceptually noteworthy to them. Descriptions…

cs.CV2025

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…