activity
20232025
most citedTowards Foundational AI Models for Additive Manufacturing: Language Models for G-Code Debugging, Manipulation, and Comprehension

3 citations · 13 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2025

Decorum: A Language-Based Approach For Style-Conditioned Synthesis of Indoor 3D Scenes

Kelly O. Marshall, Omid Poursaeed, Sergiu Oprea +5

3D indoor scene generation is an important problem for the design of digital and real-world environments. To automate this process, a scene generation model should be able to not o…

cs.CV2024★ 2 cited

Slice-100K: A Multimodal Dataset for Extrusion-based 3D Printing

Anushrut Jignasu, Kelly O. Marshall, Ankush Kumar Mishra +5

G-code (Geometric code) or RS-274 is the most widely used computer numerical control (CNC) and 3D printing programming language. G-code provides machine instructions for the moveme…

cs.CV2024★ 2 cited

BioTrove: A Large Curated Image Dataset Enabling AI for Biodiversity

Chih-Hsuan Yang, Benjamin Feuer, Zaki Jubery +12

We introduce BioTrove, the largest publicly accessible dataset designed to advance AI applications in biodiversity. Curated from the iNaturalist platform and vetted to include only…

cs.CV2024★ 2 cited

Robust Concept Erasure Using Task Vectors

Minh Pham, Kelly O. Marshall, Chinmay Hegde +1

With the rapid growth of text-to-image models, a variety of techniques have been suggested to prevent undesirable image generations. Yet, these methods often only protect against s…

cs.SD2024★ 1 cited

PITCH: AI-assisted Tagging of Deepfake Audio Calls using Challenge-Response

Govind Mittal, Arthur Jakobsson, Kelly O. Marshall +2

The rise of AI voice-cloning technology, particularly audio Real-time Deepfakes (RTDFs), has intensified social engineering attacks by enabling real-time voice impersonation that b…

cs.LG2024★ 1 cited

On the Expressive Power of Graph Neural Networks

Ashwin Nalwade, Kelly Marshall, Axel Eladi +1

The study of Graph Neural Networks has received considerable interest in the past few years. By extending deep learning to graph-structured data, GNNs can solve a diverse set of ta…

cs.SE2023★ 3 cited

Towards Foundational AI Models for Additive Manufacturing: Language Models for G-Code Debugging, Manipulation, and Comprehension

Anushrut Jignasu, Kelly Marshall, Baskar Ganapathysubramanian +3

3D printing or additive manufacturing is a revolutionary technology that enables the creation of physical objects from digital models. However, the quality and accuracy of 3D print…

cs.LG2023★ 2 cited

Circumventing Concept Erasure Methods For Text-to-Image Generative Models

Minh Pham, Kelly O. Marshall, Niv Cohen +2

Text-to-image generative models can produce photo-realistic images for an extremely broad range of concepts, and their usage has proliferated widely among the general public. On th…

cs.CV2023

ZeroForge: Feedforward Text-to-Shape Without 3D Supervision

Kelly O. Marshall, Minh Pham, Ameya Joshi +4

Current state-of-the-art methods for text-to-shape generation either require supervised training using a labeled dataset of pre-defined 3D shapes, or perform expensive inference-ti…