Welcome!
I am Kyle, a Ph.D. student researcher in the Intelligent Systems program at the University of Pittsburgh.
Overall, I am interested in studying ways to ensure that object-based AI systems can effectively be used by people around the world.
Specific research interests of mine include:
- Vision-language modeling
- Model robustness under domain shift
- Foundational AI models
- Object detection
- Prompt learning
- AI robustness for diverse cultures and languages
I currently work in the computer vision group with Dr. Adriana Kovashka at the University of Pittsburgh.
Recent News
04-2024 One paper has been accepted to the What is Next in Multimodal Foundation Models? Workshop (MMFM) at CVPR 2024.
02-2024 One paper has been accepted to the IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR) 2024.
10-2023 One paper has been accepted to the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2024.
04-2023 One extended abstract has been accepted to the CVPR Workshop on Open-Domain Reasoning Under Multi-Modal Settings 2023.
11-2022 One paper has been accepted to the AAAI Workshop on Practical Deep Learning in the Wild 2023.
05-2022 I am working this summer as a machine learning intern at GatherAI.