Jason J. Corso

Adviser Networks: Learning What Question to Ask for Human-In-The-Loop Viewpoint Estimation

2018 · arXiv (Cornell University)

Humans have an unparalleled visual intelligence and can overcome visual ambiguities that machines currently cannot. Recent works have shown that incorporating guidance from humans during inference for monocular viewpoint-estimation can help overcome difficult cases in …

Human-Centered Deferred Inference: Measuring User Interactions and Setting Deferral Criteria for Human-AI Teams

2023

Although deep learning holds the promise of novel and impactful interfaces, realizing such promise in practice remains a challenge: since dataset-driven deep-learned models assume a one-time human input, there is no recourse when they do …

Class-wise Autoencoders Measure Classification Difficulty And Detect Label Mistakes

2024 · arXiv (Cornell University)

We introduce a new framework for analyzing classification datasets based on the ratios of reconstruction errors between autoencoders trained on individual classes. This analysis framework enables efficient characterization of datasets on the sample, class, and …