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A comprehensive review of synthetic dataset generation approaches for 3D object detection, covering both traditional 3D modeling and neural image...

An end-to-end pipeline that automates all aspects of 3D dataset generation by leveraging Radiance Fields for high-quality 3D modeling and...

An efficient and lightweight network for gaze estimation that leverages progressive attention mechanisms to emphasize crucial eye features while maintaining...

We propose a novel HAR framework integrating residual networks, Bi-LSTM, and multi-head attention with a motion-based frame selection strategy. It...

We present IM HERE, a formal effort-based framework for modeling engagement across human–robot, human–human, and robot–robot interaction. It captures relational...

We present a fully automated pipeline that leverages Radiance Field–based universal 3D representations to rapidly generate high-quality models of arbitrary...

With the rapid development of large language models (LLMs), their integration into autonomous systems has become essential. This integration significantly...

We introduce a new approach to predict human engagement in human-robot interactions (HRI), focusing on eye contact and distance information....

We propose an enhanced SLAM framework that combines RGB-D and 2D LiDAR data using late fusion and adaptive resampling for...

We present our recent work on gaze estimation. Our approach is a novel two-branch CNN architecture with a multi-loss approach...