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