This project is my thesis, and the research I have been conducting at the iPRoBe Lab.
I am a second year Computer Science Masters student at Michigan State University. I work currently at the Integrated Pattern Recognition and Biometrics Lab (iPRoBe Lab) under Dr. Arun Ross. Major passions of mine within the realm of Computer Science are in computer vision, pattern recognition, and machine learning. I am opting for a Masters Thesis course plan, where the title of my thesis is "Livestock Detection and Tracking in the Thermal Spectrum" - I discuss my research further in the Projects section, along with other projects I've implemented throughout my graduate career.
Below are some of the implemented projects I have worked on here at MSU - click on them for more information.
Improving 3D Perception for Object Detection, Classification and Localization using Fused Multimodal Sensors
Object perception in 3D is a challenging problem in computer vision. For this project, I team up with Saif Imran and Mehmet Alper to fuse LiDAR and camera sensor information to improve detection and classification of objects for autonomous driving tasks.
An implementation of a recent paper in computer vision and machine learning, worked on with my collegue Steven Hoffman - another researcher at the iPRoBe Lab.
A project for a Deep Learning course. Here, some very recent work (2016) on DCGANs was implemented entirely using theano. We applied the DCGAN for face generation, where we then used GANs to achieve image completion. The results were quite good, even though full replication wasn't achieved. To read our final report and analyze some of the results, click here.