activity
20172026
most citedExplaining Facial Expression Recognition

2 citations · 5 across the 8 of their papers we have counts for

collaborators

9 papers

cs.SC2026

A Probabilistic Framework for Hierarchical Goal Recognition

Chenyuan Zhang, Katherine Ip, Hamid Rezatofighi +2

Goal recognition aims to infer an agent's goal from observations of its behaviour. In realistic settings, recognition can benefit from exploiting hierarchical task structure and re…

cs.AI2025

Probabilistic Active Goal Recognition

Chenyuan Zhang, Cristian Rojas Cardenas, Hamid Rezatofighi +2

In multi-agent environments, effective interaction hinges on understanding the beliefs and intentions of other agents. While prior work on goal recognition has largely treated the…

cs.HC2025★ 2 cited

Explaining Facial Expression Recognition

Sanjeev Nahulanthran, Leimin Tian, Dana Kulić +1

Facial expression recognition (FER) has emerged as a promising approach to the development of emotion-aware intelligent agents and systems. However, key challenges remain in utiliz…

cs.MA2025

CBS with Continuous-Time Revisit

Andy Li, Zhe Chen, Danial Harabor +1

Multi-Agent Path Finding in Continuous Time (\mapfr) extends the classical MAPF problem by allowing agents to operate in continuous time. Conflict-Based Search with Continuous Time…

cs.HC2024

"I think you need help! Here's why": Understanding the Effect of Explanations on Automatic Facial Expression Recognition

Sanjeev Nahulanthran, Mor Vered, Leimin Tian +1

Facial expression recognition (FER) has emerged as a promising approach to the development of emotion-aware intelligent systems. The performance of FER in multiple domains is conti…

cs.AI2024

Towards Explainable Goal Recognition Using Weight of Evidence (WoE): A Human-Centered Approach

Abeer Alshehri, Amal Abdulrahman, Hajar Alamri +2

Goal recognition (GR) involves inferring an agent's unobserved goal from a sequence of observations. This is a critical problem in AI with diverse applications. Traditionally, GR h…

cs.RO2024★ 2 cited

NEUSIS: A Compositional Neuro-Symbolic Framework for Autonomous Perception, Reasoning, and Planning in Complex UAV Search Missions

Zhixi Cai, Cristian Rojas Cardenas, Kevin Leo +14

This paper addresses the problem of autonomous UAV search missions, where a UAV must locate specific Entities of Interest (EOIs) within a time limit, based on brief descriptions in…

cs.AI2023★ 1 cited

Explainable Goal Recognition: A Framework Based on Weight of Evidence

Abeer Alshehri, Tim Miller, Mor Vered

We introduce and evaluate an eXplainable Goal Recognition (XGR) model that uses the Weight of Evidence (WoE) framework to explain goal recognition problems. Our model provides huma…

cs.AI2017

Heuristic Online Goal Recognition in Continuous Domains

Mor Vered, Gal A. Kaminka

Goal recognition is the problem of inferring the goal of an agent, based on its observed actions. An inspiring approach - plan recognition by planning (PRP) - uses off-the-shelf pl…