9 citations · 10 across the 6 of their papers we have counts for
6 papers
Gender Bias in Emotion Recognition by Large Language Models
Maureen Herbert, Katie Sun, Angelica Lim +1
The rapid advancement of large language models (LLMs) and their growing integration into daily life underscore the importance of evaluating and ensuring their fairness. In this wor…
React to This (RTT): A Nonverbal Turing Test for Embodied AI
Chuxuan Zhang, Yasaman Etesam, Angelica Lim
We propose an approach to test embodied AI agents for interaction awareness and believability, particularly in scenarios where humans push them to their limits. Turing introduced t…
Deep Generative Model for Mechanical System Configuration Design
Yasaman Etesam, Hyunmin Cheong, Mohammadmehdi Ataei +1
Generative AI has made remarkable progress in addressing various design challenges. One prominent area where generative AI could bring significant value is in engineering design. I…
Contextual Emotion Recognition using Large Vision Language Models
Yasaman Etesam, Özge Nilay Yalçın, Chuxuan Zhang +1
"How does the person in the bounding box feel?" Achieving human-level recognition of the apparent emotion of a person in real world situations remains an unsolved task in computer…
Emotional Theory of Mind: Bridging Fast Visual Processing with Slow Linguistic Reasoning
Yasaman Etesam, Özge Nilay Yalçın, Chuxuan Zhang +1
The emotional theory of mind problem requires facial expressions, body pose, contextual information and implicit commonsense knowledge to reason about the person's emotion and its…
Contextual Emotion Estimation from Image Captions
Vera Yang, Archita Srivastava, Yasaman Etesam +2
Emotion estimation in images is a challenging task, typically using computer vision methods to directly estimate people's emotions using face, body pose and contextual cues. In thi…