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Participants

 

I am a rising senior at the University of Nevada, Reno and I will be completing my Bachelors in Computer Science & Engineering with a minor in Digital Media. This summer I worked with Kevin Duarte, Jyot Kini, and Dr. Mubarak Shah to move away from frame-by-frame approaches in video object segmentation to a multi-frame approach. Throughout my time during the REU, I learned a lot of valuable skills for how research is conducted, which I will apply back in my home university. All of my progress is documented in my weekly presentation and reports. If you have any questions, feel free to email me at malighchi@nevada.unr.edu.
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I am a rising sophomore at the University of Central Florida with a major in Computer Science and a minor in Mathematics. I first got interested in computer science through my high school FIRST Robotics program and hope to continue on to grad school to do similar work. This summer has been my first experience with research as well as computer vision and has really cemented my interest in computer science as a career. My work involving adversarial attacks with Xiaoyu Zhang and Dr. Ajmal Mian has been an incredible learning experience and I hope to continue working on similar projects as I move on in my undergraduate career. All of my progress is documented in my weekly presentations as well as my report and poster. If you have any questions, feel free to email me at jrbates at knights dot ucf dot edu.
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I am a 4th-year student at LeTourneau University in Longview, Texas. My planned graduation date is May of 2021, and I will finish with my B.S. in Computer Engineering. I decided to participate in this REU program this summer to learn more about research and graduate school, and it has not disappointed. I have been working with Ishan Dave on an approach for data-efficient action recognition. All of my progress is documented in my report and presentations, but if you have further questions, feel free to contact me at kalicarter@letu.edu. Some other interests of mine include traveling, photography, and most outdoor activities.
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I am an incoming sophomore at University of Central Florida studying Computer Science. I had some programming experience with a few languages such as Java, Python, and C but had never worked very seriously on a research project and had no prior experience with Computer Vision before this REU. Iā€™m fascinated by the mathematical foundation of neural networks and interested in using artificial intelligence to help people in emergencies. In this REU, I worked with Praveen Tirupattur on a project about Video Anomaly Detection. The main goals for this project were applying self-attention in our model in order to use contextual understanding of features in a video to achieve state of the art results in anomaly detection. Contact me anytime at pedrocontipelli@knights.ucf.edu for more info.
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I'm a rising senior at Massachusetts Institute of Technology, majoring in mathematics and computer science (with a humanities concentration in music). I currently plan to pursue a PhD in CS (in an artificial intelligence area). My ultimate goal is to conduct interesting research in AI fields in the direction of "Broad AI", but I am currently undecided on whether I want to do this in academia or industry. Currently, I'm interested in representation learning. This summer, I have worked with Dr. Yogesh Rawat on a variant of predictive coding we call "arbitrary predictive coding". In addition we propose a loss function that explicitly utilizes dataset structure to "factor biases" in representations.
email: tamique at mit dot edu
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I am a rising junior at the University of Central Florida studying computer science. I plan to complete my B.S. in the spring of 2022, and thanks to this program I plan on continuing on into graduate school. I joined this REU looking for practical experience in the computer science field and to find an area that interests me. My project involves analyzing pictures of solar cells for defects as part of a large-scale photovoltaics project under Dr. Kristopher O. Davis. The overall goal is to create a system that analyzes the efficiency of damaged solar cells in a large-scale in order to eliminate the human time and resources the process normally takes. Throughout the program, I worked closely with Rohit Gupta and Dr. Mengjie Li and they helped me learn a lot about both computer vision and the field of photovoltaics. I will be continuing to work on this project after the program, so for any further questions feel free to contact me at joefioresi718@gmail.com!
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I'm a rising senior at the University of Central Florida pursuing a B.S. in computer science. I joined this program to learn more about research and to see if this is something I'd like to do in the future. This summer, I worked with Sirnam Swetha on a wildlife action recognition dataset and learning system. Do not email me about my project because I am in jail for stealing someone's dog.
Email: li.weining at knights dot ucf dot edu
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I am a fourth-year student at Illinois Tech and willing be graduating with a Bachelors in Computer Science this December. This summer program really cemented my interest in pursuing a graduate degree and continuing research in Computer Vision and/or NLP with a lab or advisor that hopefully has an interest in cognition as well. Annotation for large datasets for video is expensive and difficult to ensure quality and exclusivity of labels. At the same time, the property of transfer learning makes learning representation on a large, diverse dataset highly valuable. So, over this summer, I worked with Madeline Schiappa and Dr. Rawat to learn representation of long-complex activities through self-supervised deep cluster methods. You can look through my powerpoints and report to learn more and feel free to contact me at arai4 at hawk dot iit dot edu if you would like to discuss any details regarding my project. Besides research, I love startups, bothering Bo (my cat), beer, biking and being in the outdoors šŸ™‚
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I am a senior at University of Illinois at Chicago, pursuing a Bachelor's and Master's degree in Computer Science. I have been working with Krishna Regmi on Cross-View Video Synthesis between Aerial and Streetview Videos. This project aims to generate ground-view video output from aerial-view video input, using unpaired training data. To learn more, contact me at criver32@uic.edu.
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I am a student at the University of Central Florida, pursuing both my Bachelor's and Master's degrees in Computer Science. My interests lie broadly in the fields of computer vision, robotics, and autonomous systems. This summer, I worked alongside Dr. Leulseged Alemu in developing a semi-supervised learning framework for multi-object tracking called CL-MOT. Our approach forgoes object association labels and instead leverages contrastive learning in order to enforce feature consistency within object tracks. Experimental results demonstrate that CL-MOT matches the performance of state-of-the-art supervised trackers, while requiring a fraction of the annotation labor. If you would like to hear more, please don't hesitate to reach out at danielzgsilva@knights.ucf.edu.
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My name is Audrey Wiseman and I am a rising junior at Wofford College in Spartanburg, South Carolina. I plan to complete my B.S. in computer science in the spring of 2022. I chose to participate in this program to learn more about research and the educational and professional opportunities it can provide. This summer, I am working with Kevin Duarte on a panoptic segmentation network that does not require bounding boxes and uses capsules to associate instances with their respective class. Feel free to email me at wisemanam1@email.wofford.edu with any questions regarding our project.
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