1 citations · 1 across the 6 of their papers we have counts for
6 papers
VRIQ: Benchmarking and Analyzing Visual-Reasoning IQ of VLMs
Tina Khezresmaeilzadeh, Jike Zhong, Konstantinos Psounis
Recent progress in Vision Language Models (VLMs) has raised the question of whether they can reliably perform nonverbal reasoning. To this end, we introduce VRIQ (Visual Reasoning…
Preserving Privacy and Utility in LLM-Based Product Recommendations
Tina Khezresmaeilzadeh, Jiang Zhang, Dimitrios Andreadis +1
Large Language Model (LLM)-based recommendation systems leverage powerful language models to generate personalized suggestions by processing user interactions and preferences. Unli…
VISTA: Vision-Language Inference for Training-Free Stock Time-Series Analysis
Tina Khezresmaeilzadeh, Parsa Razmara, Seyedarmin Azizi +2
Stock price prediction remains a complex and high-stakes task in financial analysis, traditionally addressed using statistical models or, more recently, language models. In this wo…
CATS: A framework for Cooperative Autonomy Trust & Security
Namo Asavisanu, Tina Khezresmaeilzadeh, Rohan Sequeira +4
With cooperative perception, autonomous vehicles can wirelessly share sensor data and representations to overcome sensor occlusions, improving situational awareness. Securing such…
Echoes of Privacy: Uncovering the Profiling Practices of Voice Assistants
Tina Khezresmaeilzadeh, Elaine Zhu, Kiersten Grieco +3
Many companies, including Google, Amazon, and Apple, offer voice assistants as a convenient solution for answering general voice queries and accessing their services. These voice a…
Fever Detection with Infrared Thermography: Enhancing Accuracy through Machine Learning Techniques
Parsa Razmara, Tina Khezresmaeilzadeh, B. Keith Jenkins
The COVID-19 pandemic has underscored the necessity for advanced diagnostic tools in global health systems. Infrared Thermography (IRT) has proven to be a crucial non-contact metho…