by Rahul Jain | Feb 25, 2025 | 2025, Augmented Reality, Featured Publications, Hyunggun Chi, Hyungjun Doh, Jingyu Shi, Karthik Ramani, Rahul Jain, Recent Publications, Seunggeun Chi
Context-aware AR instruction enables adaptive and in-situ learning experiences. However, hardware limitations and expertise requirements constrain the creation of such instructions. With recent developments in Generative Artificial Intelligence (Gen-AI), current...
by Ananya Ipsita | Dec 1, 2024 | 2024, Ananya Ipsita, Asim Unmesh, Karthik Ramani, Recent Publications
Despite the recognized efficacy of immersive Virtual Reality (iVR) in skill learning, the design of iVR-based learning units by subject matter experts (SMEs) based on target requirements is severely restricted. This is partly due to a lack of flexible ways of...
by Rahul Jain | Dec 1, 2024 | 2024, Asim Unmesh, Karthik Ramani, Karthik Ramani, Rahul Jain, Recent Publications, Subramanian Chidambaram
Computer vision (CV) algorithms require large annotated datasets that are often labor-intensive and expensive to create. We propose AnnotateXR, an extended reality (XR) workflow to collect various high-fidelity data and auto-annotate it in a single demonstration....
by Seunggeun Chi | Sep 27, 2024 | 2024, Karthik Ramani, Recent Publications, Seunggeun Chi
We study the problem of estimating the body movements of a camera wearer from egocentric videos. Current methods for ego-body pose estimation rely on temporally dense sensor data, such as IMU measurements from spatially sparse body parts like the head and hands....
by Seunggeun Chi | Sep 26, 2024 | 2024, Featured Publications, Hyunggun Chi, Karthik Ramani, Karthik Ramani, Publications, Recent Publications, Seunggeun Chi
We introduce the Multi-Motion Discrete Diffusion Models (M2D2M), a novel approach for human motion generation from textual descriptions of multiple actions, utilizing the strengths of discrete diffusion models. This approach adeptly addresses the challenge of...
by Seunggeun Chi | Sep 18, 2024 | 2024, Hyunggun Chi, Karthik Ramani, Publications, Recent Publications, Seunggeun Chi
Skeleton-based action recognition has made significant advancements recently, with models like InfoGCN showcasing remarkable accuracy. However, these models exhibit a key limitation: they necessitate complete action observation prior to classification, which...