Fine-Grained Classroom Activity Detection from Audio with Neural Networks. - Eric Slyman; Chris Daw; Morgan Skrabut; Ana Usenko; Brian Hutchinson (CoRR, 2021)

VLSlice: Interactive Vision-and-Language Slice Discovery. - Eric Slyman; Minsuk Kahng; Stefan Lee (ICCV, 2023)

On the Behavior of Audio-Visual Fusion Architectures in Identity Verification Tasks. - Daniel Claborne; Eric Slyman; Karl Pazdernik (CoRR, 2023)

FairDeDup: Detecting and Mitigating Vision-Language Fairness Disparities in Semantic Dataset Deduplication. - Eric Slyman; Stefan Lee; Scott Cohen; Kushal Kafle (CVPR, 2024)

You Never Know: Quantization Induces Inconsistent Biases in Vision-Language Foundation Models. - Eric Slyman; Anirudh Kanneganti; Sanghyun Hong 001; Stefan Lee (CoRR, 2024)

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks. - Zijiao Yang 002; Xiangxi Shi; Eric Slyman; Stefan Lee (WACV, 2025)