Rahul Jain

Rahul Jain

Rahul Jain has been a Ph.D. student in the School of Electrical and Computer Engineering at Purdue University since Spring 2022. He is conducting research under Professor Karthik Ramani’s Convergence Design Lab. He received his Master’s in Electrical and Computer Engineering at Purdue University and Bachelor’s in Civil Engineering at Indian Institute of Technology (IIT), Patna. His current research focuses on area of Computer Vision, Machine Learning and human-computer interactions utilizing AR/VR.
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...

avaTTAR: Table Tennis Stroke Training with On-body and Detached Visualization in Augmented Reality

avaTTAR: Table Tennis Stroke Training with On-body and Detached Visualization in Augmented Reality

Dizhi Ma*, Xiyun Hu*, Jingyu Shi, Mayank Patel, Rahul Jain, Ziyi Liu, Zhengzhe Zhu, Karthik Ramani
In The 37th Annual ACM Symposium on User Interface Software and Technology (UIST ’24)

Table tennis stroke training is a critical aspect of player development. We designed a new augmented reality (AR) system, avaTTAR, for table tennis stroke training. The system provides both "on-body" (first-person view) and "detached" (third-person...

An HCI-Centric Survey and Taxonomy of Human-Generative-AI Interactions

An HCI-Centric Survey and Taxonomy of Human-Generative-AI Interactions

Jingyu Shi*, Rahul Jain*, Hyungjun Doh, Ryo Suzuki, Karthik Ramani
Submitted to ACM Computing Surveys

Generative AI (GenAI) has shown remarkable capabilities in generating diverse and realistic content across different formats like images, videos, and text. In Generative AI, human involvement is essential, thus HCI literature has investigated how...

Ubi-TOUCH: Ubiquitous Tangible Object Utilization through Consistent Hand-object interaction in Augmented Reality

Ubi-TOUCH: Ubiquitous Tangible Object Utilization through Consistent Hand-object interaction in Augmented Reality

Rahul Jain*, Jingyu Shi*, Runlin Duan, Zhengzhe Zhu, Xun Qian, Karthik Ramani
In Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology (UIST 2023)

Utilizing everyday objects as tangible proxies for Augmented Reality (AR) provides users with haptic feedback while interacting with virtual objects. Yet, existing methods focus on the attributes of the objects, constraining the possible proxies...