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The IVIDIA Lab was established in 2014 under the direction of Dr. Ju Shen in the department of Computer Science. The mission of IVIDIA Lab seeks to utilize state-of-the-art technologies in vision, machine learning, and interactive media, to foster the development of virtual reality (VR) applications in various forms of human-computer interactions. In particular, they are exploring the potential educational and therapeutic values of VR technologies to facilitate the learning and rehabilitation procedures. In addition to research, the IVIDIA lab is also serving undergraduate and graduate students who take independent study courses on topics of virtual and augmented reality to engage with various sensors, headsets, and interactive controllers for VR content creation.
Ongoing research projects include:
Realtime motion tracking and retargeting for behavior rehabilitation
Mobile 3D ranging with monocular video stream to reconstruct high quality 3D models
Unobtrusive behavior analytics for novel activity synthesis
Tele-immersive communication system by transforming every smartphone and tablet into an interactive VR device
Singular-view motion retargeting from a regular RGB webcam
Lab Director: Ju Shen, Ph.D.
Associate Professor, IEEE Senior
Dr. Ju Shen earned his Ph.D. in Computer Science from the University of Kentucky in 2014, under the mentorship of Professor Sen-ching Samson Cheung. He also holds an M.Sc. in Computer Science from the University of Birmingham, UK (2006).
His research interests span computer vision, machine learning, and interactive media, with a particular focus on advancing the intersection of these fields. Over the course of his career, he has authored and co-authored over 50 peer-reviewed publications. His work has been widely recognized and has contributed to several groundbreaking advancements in these areas.
In addition to his research, Dr. Shen has been an active leader in the academic community. He has served as a journal editor for Computational Intelligence and Neuroscience, and has held key roles at numerous international conferences, including Program Chair, Area Chair, Publication Chair, and Technical Program Committee (TPC) member for prestigious events such as TIP, ICJV, IEEE/CVF CVPR, ICME, ISM, ICIP, BigMM, MIPR, and MAICS.
The research has been supported by a variety of national grants, including funding from the National Science Foundation (NSF), National Endowment for the Humanities (NEH), and the Andrew W. Mellon Foundation, among others. These grants have enabled Dr. Shen and his group to explore innovative solutions to real-world challenges in his areas of expertise.
Google Scholar | ResearchGate | dblp | BePress | Linkedin
Interested Topics:
- DeepLearning:
T-model, RNN, RCNN, VAE, HPE, VAE, NVS, (self)-ATTN.
- Vision/Graphics:
OpenCV, OpenGL, GLSL, HLSL.
- VR/Gaming: , Unity, DOTs, URP, HDRP, VFX graph, ML-Agents.
Taught Courses:
- Artificial Intelligence
- Computer Vision
- Interactive Media
- Machine Learning
- Computer Graphics
- Adv Prog. Dev
- Data Structures
Attention based Real-time Human Pose Estimation @CVPR2020
Sponsors -- we are grateful for the support of our sponsors:
News:
March 2024: Our proposal to ODHE (Ohio Department of Higher Education) was funded
August 2023: A paper on Deep learning-based human pose estimation was published on ACM Computing Surveys.
August 2021: Recipient of Mellon Grant award from Andrew W. Mellon Foundation (UD news)
January 2021: Our paper is accepted to International Journal of Computer Vision (IJCV) 2021
September 2020: National Science Foundation (NSF) awards University of Dayton research team to apply machine learning to 3-D printing on nanoscale (UD news)
April 2020: Recipient of National Endowment for the Humanities (NEH) grant award (UD news, Dayton Daily)
February 2020: Our paper is accepted (oral) to CVPR 2020 (Demo, paper, code)
March 2019: Recipient of STEM Catalyst grant award III
February 2019: Our paper is published in IEEE International Conference on Mechatronics System and Robots (ICMSR 2019)
April 2018: Recipient of National Endowment for the Humanities (NEH) grant award
March 2018: Recipient of STEM Catalyst grant award II
February 2018: Award of Summer Research Fellowship and Grant-In- Aid for the summer of 2018
January 2018: Our journal paper "A Fast and Robust Extrinsic Calibration for RGB-D Camera Networks" is published in Sensors
August 2017: Dr. Shen is selected as the affiliate member of Multimedia Systems & Applications Technical Committee (MSATC)
July 2017: Our paper is published by IEEE International Conference on Multimedia and Expo (ICME) 2017
May 2017: Recipient of STEM Catalyst grant award I
April 2017: Our two conference papers are published by IEEE Big Data on Multimedia (BigMM) 2017
April 2017: Our conference paper is accepted to ITA 2017
January 2017: Our journal paper is published by Computers
January 2017: Award of Summer Research Fellowship and Grant-In- Aid for the summer of 2017
August 2016: Our paper is published by MLICOM 2016
May 2016: Dr. Shen is elevated to the grade of IEEE Senior member
January 2016: Award of Summer Research Fellowship and Grant-In- Aid for the summer of 2016
December 2015: Our conference paper is published by IEEE ISM 2015
August 2016: Our conference paper is published by CAD/Graphics 2015
July 2015: Our journal paper is published by Multimedia Tools and Applications 2015
July 2015: Our conference paper is published by ICIG 2015
January 2015: Award of Summer Research Fellowship and Grant-In- Aid for the summer of 2015
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