3 citations · 8 across the 7 of their papers we have counts for
7 papers
Cinéaste: A Fine-grained Contextual Movie Question Answering Benchmark
Nisarg A. Shah, Amir Ziai, Chaitanya Ekanadham +1
While recent advancements in vision-language models have improved video understanding, diagnosing their capacity for deep, narrative comprehension remains a challenge. Existing ben…
Match Cutting: Finding Cuts with Smooth Visual Transitions
Boris Chen, Amir Ziai, Rebecca Tucker +1
A match cut is a transition between a pair of shots that uses similar framing, composition, or action to fluidly bring the viewer from one scene to the next. Match cuts are frequen…
Abuse and Fraud Detection in Streaming Services Using Heuristic-Aware Machine Learning
Soheil Esmaeilzadeh, Negin Salajegheh, Amir Ziai +1
This work presents a fraud and abuse detection framework for streaming services by modeling user streaming behavior. The goal is to discover anomalous and suspicious incidents and…
Detecting Kissing Scenes in a Database of Hollywood Films
Amir Ziai
Detecting scene types in a movie can be very useful for application such as video editing, ratings assignment, and personalization. We propose a system for detecting kissing scenes…
Mining Data from the Congressional Record
Zhengyu Ma, Tianjiao Qi, James Route +1
We propose a data storage and analysis method for using the US Congressional record as a policy analysis tool. We use Amazon Web Services and the Solr search engine to store and pr…
Compositional pre-training for neural semantic parsing
Amir Ziai
Semantic parsing is the process of translating natural language utterances into logical forms, which has many important applications such as question answering and instruction foll…