Austin Narcomey

According to our database, Austin Narcomey authored at least 9 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

The Dynamics of Human Fairness Judgments towards a Robot.

Houston Claure, Austin Narcomey, Kate Candon, Inyoung Shin, Marynel Vázquez

Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction, 2026

2025

Robot Delivery of Actionable Counterfactual Neural Network Explanations: Results in Group Perception.

Austin Narcomey, Houston Claure, Marynel Vázquez

Proceedings of the 34th IEEE International Conference on Robot and Human Interactive Communication, 2025

2024

Learning Human Preferences Over Robot Behavior as Soft Planning Constraints.

Austin Narcomey, Nathan Tsoi, Ruta Desai, Marynel Vázquez

CoRR, 2024

Shutter: A Low-Cost and Flexible Social Robot Platform for In-the-Wild Deployments.

Sydney Thompson, Austin Narcomey, Alexander Lew, Marynel Vázquez

Proceedings of the Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

2023

Self-Annotation Methods for Aligning Implicit and Explicit Human Feedback in Human-Robot Interaction.

Qiping Zhang, Austin Narcomey, Kate Candon, Marynel Vázquez

Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

A Case for Business Process-Specific Foundation Models.

Yara Rizk, Praveen Venkateswaran, Vatche Isahagian, Austin Narcomey, Vinod Muthusamy

Proceedings of the Business Process Management Workshops, 2023

2019

HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models.

Sharon Zhou, Mitchell L. Gordon, Ranjay Krishna, Austin Narcomey, Li Fei-Fei, Michael S. Bernstein

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

HYPE: Human-eYe Perceptual Evaluation of Generative Models.

Sharon Zhou, Mitchell L. Gordon, Ranjay Krishna, Austin Narcomey, Durim Morina, Michael S. Bernstein

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Visual Relationships as Functions: Enabling Few-Shot Scene Graph Prediction.

Apoorva Dornadula, Austin Narcomey, Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019