ICAS Lab @ USC - 2026 PiCASo CVPR Demo

Demo Leads:

Mahsa Ardakani (Presenter)
Jinendra Malekar
Peyton Chandarana

Awards:

1st Place – University Demos @ Design Automation Conference (DAC)

MicrosoftTeams-video(2).mp4

DACDemo-video.mp4

Code:

https://github.com/iCAS-Lab/PiCASo

Publications:

M. Ardakani, J. Malekar, and R. Zand, "LLMPi: Optimizing LLMs for High-Throughput on Raspberry Pi," Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2025.

CVPR26_Demo_ConvAI_LLMs.pdf

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