GitHub

SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference

In vision-language models (VLMs), visual tokens usually consume a significant amount of computational overhead, despite their sparser information density compared to text tokens. To address this, ...

Coding After Coders: The End of Computer Programming as We Know It

In the era of A.I. agents, many Silicon Valley programmers are now barely programming. Instead, what they’re doing is deeply, ...
IEEE

Leveraging Visual Languages to Foster User Participation in Designing Trustworthy Machine Learning Systems: A Comparative Study

Abstract: In the era of ubiquitous Artificial Intelligence (AI), Machine Learning (ML) systems have emerged as pivotal in advancing societal progress. Yet, their complexity often requires the ...
IEEE

FlowPilot: A Generative AI-Driven Visual Language for Computational Thinking Education

Abstract: This paper introduces FlowPilot, a novel flow-based visual programming language designed to enhance Computational Thinking (CT) education. FlowPilot leverages generative AI to create a ...
GitHub

Visual Programming for Zero-shot Open-Vocabulary 3D Visual Grounding

Comparative overview of two 3DVG approaches. (a) Supervised 3DVG involves input from 3D scans combined with text queries, guided by object-text pair annotations, (b) Zero-shot 3DVG identifies the ...