Search Results for author:
Found 11 papers, 2 papers with code
Normalized Contrastive Learning for Text-Video Retrieval
Cross-modal contrastive learning has led the recent advances in multimodal retrieval with its simplicity and effectiveness.
Fighting FIRe with FIRE: Assessing the Validity of Text-to-Video Retrieval Benchmarks
Searching troves of videos with textual descriptions is a core multimodal retrieval task.
LifeQA: A Real-life Dataset for Video Question Answering
We introduce LifeQA, a benchmark dataset for video question answering that focuses on day-to-day real-life situations.
Towards Extracting Medical Family History from Natural Language Interactions: A New Dataset and Baselines
We introduce a new dataset consisting of natural language interactions annotated with medical family histories, obtained during interactions with a genetic counselor and through crowdsourcing, following a questionnaire created by experts in the domain.
Representing Movie Characters in Dialogues
We introduce a new embedding model to represent movie characters and their interactions in a dialogue by encoding in the same representation the language used by these characters as well as information about the other participants in the dialogue.
A Comparative Analysis of Content-based Geolocation in Blogs and Tweets
The geolocation of online information is an essential component in any geospatial application.
Speaker Naming in Movies
We propose a new model for speaker naming in movies that leverages visual, textual, and acoustic modalities in an unified optimization framework.
