Projects of Dr. Xiaojun Qi

Projects

Note: If you are interested in obtaining an RA position to participate in any of the projects, you need to take CS5680 or CS6680 or CS7680 or ECE 5630 or ECE 6620 or ECE 7620 or ECE 7630 and got at least a B+.

Image Segmentation

Develop an efficient segmentation technique to divide an image into multiple regions.

The student working on this project is:
Yaswanth Kodavali (M.S. student; Graduated in Spring 2017)
Meng Xu (Ph.D. student)

Fake Face Detection

Develop an efficient deep learning technique to recognize fake faces.

The student working on this project is:
Supriyo Sadhya (Ph.D. student)

Facial Expression Recognition

Develop an efficient deep learning technique to recognize facial expressions in the wild.

The student working on this project is:
Amir Hossein Farzaneh (Ph.D. student; Graduated in Summer 2020)

Object Detection, Recognition, and Tracking

Develop a novel algorithm to detect, recognize, and track a certain target, such as car, pedestrian, and face.

The students working on this project are:
Swathi Rajashekar (M.S. student; Graduated in Spring 2012)
Mahammad Reza Faraji (Ph.D. student; Graduated in Spring 2015)
Robbie Buck (M.S. student; Graduated in Fall 2015)
Liang Peng (Ph.D. student; Graduated in Spring 2017)
Kamna Yadav (M.S. student; Graduated in Summer 2018)
Mohammadreza Javanmardi (Ph.D. student; Graduated in Fall 2020)
Brendan Robeson (Ph.D. student)
Qiuxiao Chen (Ph.D. student)

Image Registration

Develop an efficient image registration technique to align a pair of RGB and NIR images.

The student working on this project is:
Amir Hossein Farzaneh (Ph.D. student; Graduated in Summer 2020)

Content-Based Image/Video Retrieval

Develop an efficient system to retrieve relevant images from large image databases based on automatically derived imagery features and learned semantic correlation between images. These features are typically extracted from shape, texture, or color properties of the query image and images in the database. The semantic correlation between images is normally learned based on the user's relevance feedback.

The students working on this project are:
Yutao Han (M.S. student; Graduated in Fall 2005)
Hongxing Zheng (M.S. student; Graduated in Spring 2006)
Ran Chang (Ph.D. student; Graduated in Fall 2013)

Digital Watermarking

Develop an efficient image watermarking technique to be used for intellectual property rights protection. The embedded watermark should be unobtrusive and robust. Currently, we mainly focus on the robustness against geometric attacks and semi-fragile watermarks.

The students working on this project are:
Ji Qi (M.S. student; Graduated in Fall 2005)
Stephen Bialkowski (B.S. student; Graduated in Summer 2007)
Xing Xin (M.S. student; Graduated in Spring 2010)
Jiyuan Wang (M.S. student; Graduated in Spring 2012)

Orthorectification and Mosaicing

Develop an efficient orthorectification and mosaicing technique to generate a map for a set of aerial images in near real-time. Currently, we mainly focus on feature points-based matching and projective homograph techniques.

The student working on this project is:
Mohammad Reza Faraji (Post-doctoral scholar; 2016)

Activity Recognition

Develop an efficient technique to recognize activities using smartwatches. Currently, we mainly focus on decision tree techniques.

The student working on this project is:
Chong Li (M.S. student; Graduated in Fall 2016)

Steganalysis/Stegnography

Develop an efficient technique to embed or detect stego objects.

The students working on this project are:
KokSheik Wong (M.S. student; Graduated in Summer 2005)
Daniel Lewis (M.S. student; Graduated in Summer 2007)

Eye Gaze Estimation

Develop a novel algorithm to estimate the eye gaze coordinates using inexpensive hardware.

The students working on this project are:
Zeb Johnson (M.S. student; Graduated)
Stephen Bialkowski (B.S. student; Graduated in Summer 2007)

Vision-Based Navigation

Develop a vision-based navigation system for robots.

The student working on this project is:
Yinbing Ge (M.S. student; Graduated in Spring 2006)

Data Mining

Find the hidden knowledge from the unstructured data/images.

The students working on this project are:
Hongxing Zheng (M.S. student; Graduated in Spring 2006)
Kenneth Jensen (M.S. student; Graduated in Spring 2005)
Beijie Xu (M.S. student; Graduated in Spring 2011)

Data Compression

Develop a compression tool to be comparable with JPEG 2000.

The student working on this project is:
Benjamin Banham (M.S. student; Graduated in July 2008)

A Network Architecture Simulator for Flight Systems

Develop a network simulator for flight systems by using the easy-to-use drag-and-drop tool.

The students working on this project are:
Martin Mayne (B.S. student; Graduated in Spring 2006)
Todd Hospodarsky (B.S. student; Graduated in Spring 2007)
Carson Jones (B.S. student; Graduated in 2008)

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It was last maintained on January 10, 2023.