Story Understanding in Video Advertisements. - Keren Ye; Kyle Buettner; Adriana Kovashka (BMVC, 2018)

Beyond Floating-Point Ops: CNN Performance Prediction with Critical Datapath Length. - David Langerman; Alex Johnson; Kyle Buettner; Alan D. George (HPEC, 2020)

Heartbeat Classification with Spiking Neural Networks on the Loihi Neuromorphic Processor. - Kyle Buettner; Alan D. George (ISVLSI, 2021)

Contrastive View Design Strategies to Enhance Robustness to Domain Shifts in Downstream Object Detection. - Kyle Buettner; Adriana Kovashka (CoRR, 2022)

Enhancing the Role of Context in Region-Word Alignment for Object Detection. - Kyle Buettner; Adriana Kovashka (CoRR, 2023)

Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object Recognition. - Kyle Buettner; Sina Malakouti; Xiang Lorraine Li; Adriana Kovashka (CVPR, 2024)

Strategies to Leverage Foundational Model Knowledge in Object Affordance Grounding. - Arushi Rai; Kyle Buettner; Adriana Kovashka (CVPR Workshops, 2024)

Quantifying the Gaps Between Translation and Native Perception in Training for Multimodal, Multilingual Retrieval. - Kyle Buettner; Adriana Kovashka (EMNLP, 2024)

Investigating the Role of Attribute Context in Vision-Language Models for Object Recognition and Detection. - Kyle Buettner; Adriana Kovashka (WACV, 2024)

A Multimodal Recaptioning Framework to Account for Perceptual Diversity in Multilingual Vision-Language Modeling. - Kyle Buettner; Jacob Emmerson; Adriana Kovashka (CoRR, 2025)