3 citations · 8 across the 11 of their papers we have counts for
11 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…
CLoVe: Encoding Compositional Language in Contrastive Vision-Language Models
Santiago Castro, Amir Ziai, Avneesh Saluja +2
Recent years have witnessed a significant increase in the performance of Vision and Language tasks. Foundational Vision-Language Models (VLMs), such as CLIP, have been leveraged in…
Video Annotator: A framework for efficiently building video classifiers using vision-language models and active learning
Amir Ziai, Aneesh Vartakavi
High-quality and consistent annotations are fundamental to the successful development of robust machine learning models. Traditional data annotation methods are resource-intensive…
RAFIC: Retrieval-Augmented Few-shot Image Classification
Hangfei Lin, Li Miao, Amir Ziai
Few-shot image classification is the task of classifying unseen images to one of N mutually exclusive classes, using only a small number of training examples for each class. The li…
DPA Load Balancer: Load balancing for Data Parallel Actor-based systems
Ziheng Wang, Atem Aguer, Amir Ziai
In this project we explore ways to dynamically load balance actors in a streaming framework. This is used to address input data skew that might lead to stragglers. We continuously…
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…
Active Learning for Network Intrusion Detection
Amir Ziai
Network operators are generally aware of common attack vectors that they defend against. For most networks the vast majority of traffic is legitimate. However new attack vectors ar…