AnnotateXR: An Extended Reality Workflow for Automating Data Annotation to Support Computer Vision Applications

AnnotateXR: An Extended Reality Workflow for Automating Data Annotation to Support Computer Vision Applications

Subramanian Chidambaram*, Rahul Jain*, Sai Swarup Reddy, Asim Unmesh, Karthik Ramani
J. Comput. Inf. Sci. Eng. Dec 2024, 24(12): 121001 (13 pages)

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...

Interacting Objects: A dataset of object-object interactions for richer dynamic scene representations

Interacting Objects: A dataset of object-object interactions for richer dynamic scene representations

Asim Unmesh, Rahul Jain, Jingyu Shi, VK Chaitanya, Hyung-Gun Chi, Subramanian Chidambaram, Alexander Quinn, Karthik Ramani
IEEE Robotics and Automation Letters, vol. 9, no. 1, pp. 451-458, Jan. 2024

Interacting Objects: A dataset of object-object interactions for richer dynamic scene representations Asim Unmesh, Rahul Jain, Jingyu Shi, V. K. Chaithanya Manam, Hyung-Gun Chi, Subramanian Chidambaram, Alexander J. Quinn, Karthik Ramani IEEE...

SurfNet: Generating 3D shape surfaces using deep residual networks

SurfNet: Generating 3D shape surfaces using deep residual networks

Sinha, A., Unmesh, A., Huang, Q., and Ramani, K
Proceedings of the IEEE conference on computer vision and pattern recognition. 2017.

  3D shape models are naturally parameterized using vertices and faces, i.e., composed of polygons forming a surface. However, current 3D learning paradigms for predictive and generative tasks using convolutional neural networks focus on a...