Research topic
This topic page groups Naser Ezzati-Jivan research papers related to multimodal ai. Each linked record provides the paper's problem, method, findings, limitations, keywords, and authoritative source links.
Related search terms: multimodal ai
2 papers in this topic, ordered newest first. The detailed paper records contain the evidence-grounded methods, tools, datasets, findings, and citation guidance.
2025 · 2025 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)
The paper implements a timestamp-aware multimodal video-retrieval pipeline that joins speech transcription, sampled-frame captioning, text embeddings, and approximate-nearest-neighbor search.
Keywords: video retrieval · semantic search · timestamp alignment · AI video search · ACDSA 2025
2024 · ACL 2024 Main Conference
The paper introduces WinoVis, a multimodal benchmark and analysis framework for testing pronoun disambiguation in text-to-image models.
Keywords: Winograd Schema Challenge · WinoVis · text-to-image models · pronoun disambiguation · DAAM