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From the 2 of 10 linked papers with an AI index.

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10 papers

cs.CV2026

Vision-Language Models for Egocentric Video: From Hand-Object Interaction to Embodied AI

Mohammad Zamani, Fatemeh Ziaeetabar

Egocentric video captures activities from the wearer's perspective, providing a direct view of human attention, hand--object interaction, and goal-directed behavior. This perspecti…

cs.CV2026

Lag-aware cross-hand alignment for dual-hand action segmentation

Fatemeh Ziaeetabar

The paper proposes Lag-Aware Cross-Hand Alignment (LACA), a lightweight module that estimates temporal offsets between left- and right-hand feature streams to improve dual-hand act…

cs.CV2026

Beyond Pairwise Relations: Dynamic Manipulation Hypergraphs for Vision-Based Human Activity Recognition

Fatemeh Ziaeetabar

The paper proposes a dynamic manipulation hypergraph framework that captures evolving higher-order relations among hands, objects, tools, and surfaces for fine-grained video-based…

cs.CV2026

Trustworthy Visual Predicates for Robust Manipulation Understanding under Degradation

Fatemeh Ziaeetabar

Manipulation understanding requires reliable relational evidence, such as contact, support, containment, motion coupling, grasp, release, and active-hand involvement. Although thes…

cs.RO2026

Neuro-Symbolic Manipulation Understanding with Enriched Semantic Event Chains

Fatemeh Ziaeetabar

Robotic systems operating in human environments must reason about how object interactions evolve over time, which actions are currently being performed, and what manipulation step…

cs.CV2025

Beyond Sequences: A Benchmark for Atomic Hand-Object Interaction Using a Static RNN Encoder

Yousef Azizi Movahed, Fatemeh Ziaeetabar

Reliably predicting human intent in hand-object interactions is an open challenge for computer vision. Our research concentrates on a fundamental sub-problem: the fine-grained clas…