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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.
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About me
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I wrote a post on Medium about using writing LaTeX and using a best of all words approach with some useful tools.
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I almost exclusively develop using SSH sessions on other CUDA-enabled machine for differentiable rendering, PyTorch, training models, etc. Recently, I ran into the problem off having the VS Code server failing to start at the beginning of an ssh session. This post on SO showed how to kill the server remotely so that it will restart on the next login attempt.
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MeshLab is an open source system for processing and editing 3D triangular meshes. It provides a set of tools for editing, cleaning, healing, inspecting, rendering, texturing and converting meshes. It offers features for processing raw data produced by 3D digitization tools/devices and for preparing models for 3D printing.
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A method to set up an array of cameras along a set of prescribed intervals or vertices.
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Cardioid Trace
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Building chess visualizations and play-throughs with D3
Published in CIKM 20, 2020
In-browser interactive graph exploration and visualization tool.
Recommended citation: Li, Siwei, et. al. (2020). "Argo Lite: Open-Source Interactive Graph Exploration and Visualization in Browsers." CIKM 20. https://matthewdhull.github.io/files/argolite.pdf
Published in IEEE VIS 21, 2021
First-of-its-kind automatic grading approach for D3 visualizations that scalably and precisely evaluates data bindings, visual encodings, interactions, and design specifications used in a visualization.
Recommended citation: Hull, Matthew, et. al. (2021). "Towards Automatic Grading of D3.js Visualizations." IEEE VIS 21. https://matthewdhull.github.io/files/autograde_viz.pdf
Published in CVPR 22, 2022
Interactive visual tool that aims to help users better understand the behaviors of a model as adversarial images journey through an object detector.
Recommended citation: Sivapriya, Vellaichamy, et. al. (2022). "DetectorDetective: Investigating the Effects of Adversarial Examples on Object Detectors." CVPR 22. https://matthewdhull.github.io/files/detector_detective.pdf
Published in BMVC 23, 2023
A suite of generalizable robust architectural design principles.
Recommended citation: Peng, Anthony, et. al. (2023). "Robust Principles: Architectural Design Principles for Adversarially Robust CNNs." BMVC 23. https://arxiv.org/pdf/2308.16258.pdf
Published in VIS 23, 2023
Automatic grading of D3 visualizations.
Recommended citation: Hull, Matthew, et. al. (2023). "VisGrader: Automatic Grading of D3 Visualizations." VIS 23. https://arxiv.org/pdf/2310.12347.pdf
Published in ICLR 24, 2024
LLM Self Defense
Recommended citation: Phute, Mansi, et. al. (2024). "LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked." ICLR 24. https://arxiv.org/pdf/2308.07308
Published in ICLR 24, 2024
Revamp: Automated Simulations of Adversarial Attacks on Arbitrary Objects in Realistic Scenes
Recommended citation: Hull, Matthew, et. al. (2024). "Revamp: Automated Simulations of Adversarial Attacks on Arbitrary Objects in Realistic Scenes." ICLR 24. https://matthewdhull.github.io/files/revamp.pdf
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This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.