Multimodal QA

Eligible: Undergraduate and Masters students

Mentor: Amir Zadeh

Description: Multimodal Question Answering is an active area of research within the field of machine learning. We are specifically interested in building multimodal machine learning models for our new dataset “Social-IQ”, a QA dataset for open-ended social intelligence. Social-IQ is a novel dataset presented in CVPR 2019. We expect that the students would be able to engage in advanced research in this area with high potential for publishing at top conferences.

Skills/Experience: This position is open for Masters and undergraduate students with prior knowledge of machine learning. Students should be prepared to perform tasks such as machine learning modeling, extracting features, and processing datasets.

Contact: Interested students should send an email to Amir Zadeh with their CV and description of their experience.