Page Not Found
Page not found. Your pixels are in another canvas.
Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Hello, I am Eric!đź‘‹
About me
Page not in menu
This is a page not in th emain menu
Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Realistic Simulation Environments to Achieve Visual Servoing on Soft Continuum Arms in Constrained Environments
Published in Fourth International Workshop on Machine Learning for Cyber-Agricultural Systems (MLCAS), 2022
Recommended citation: S. K. Kamtikar, E. Ji, N. K. Uppalapati, G. Krishnan, G. Chowdhary. "Realistic Simulation Environments to Achieve Visual Servoing on Soft Continuum Arms in Constrained Environments". Fourth International Workshop on Machine Learning for Cyber-Agricultural Systems (MLCAS 2022).
2D-FACT: Dual-Domain Fake Image Detection Against Text-to-Image Generative Models
Published in MIT Undergraduate Research Technology Conference (URTC), 2023
Recent developments in generative artificial intelligence are bringing great concerns for privacy, security and misinformation. Our work focuses on the detection of fake images generated by text-to-image models. We propose a dualdomain CNN-based classifier that utilizes image features in both the spatial and frequency domain. Through an extensive set of experiments, we demonstrate that the frequency domain features facilitate high accuracy, zero-transfer learning between different generative models, and faster convergence. To our best knowledge, this is the first effective detector against generative models that are finetuned for a specific subject.
Recommended citation: E. Ji, B. Dong, B. Samanthula, N. Zhou. "2D-FACT: Dual-Domain Fake Image Detection Against Text-to-Image Generative Models". MIT Undergraduate Research Technology Conference (URTC 2023).
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Undergraduate Course Assistant
CS 125: Intro to Computer Science, University of Illinois Urbana-Champaign, 2020
Undergraduate Course Grader
ECE 120: Intro to Computing, University of Illinois Urbana-Champaign, 2023
Graduate Teaching Assistant
ECE 484: Principle of Safe Autonomy, University of Illinois Urbana-Champaign, 2024