activity
20172026
most citedViTA: A Vision Transformer Inference Accelerator for Edge Applications

64 citations · 256 across the 76 of their papers we have counts for

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Showing 2024Show all

13 papers · 1 filter

cs.CV2024

LoyalDiffusion: A Diffusion Model Guarding Against Data Replication

Chenghao Li, Yuke Zhang, Dake Chen +2

Diffusion models have demonstrated significant potential in image generation. However, their ability to replicate training data presents a privacy risk, particularly when the train…

cs.CR2024★ 2 cited

TinyML Security: Exploring Vulnerabilities in Resource-Constrained Machine Learning Systems

Jacob Huckelberry, Yuke Zhang, Allison Sansone +3

Tiny Machine Learning (TinyML) systems, which enable machine learning inference on highly resource-constrained devices, are transforming edge computing but encounter unique securit…

cs.AR2024

Voltage-Controlled Magnetic Tunnel Junction based ADC-less Global Shutter Processing-in-Pixel for Extreme-Edge Intelligence

Md Abdullah-Al Kaiser, Gourav Datta, Jordan Athas +5

The vast amount of data generated by camera sensors has prompted the exploration of energy-efficient processing solutions for deploying computer vision tasks on edge devices. Among…

cs.CV2024

Energy-Efficient & Real-Time Computer Vision with Intelligent Skipping via Reconfigurable CMOS Image Sensors

Md Abdullah-Al Kaiser, Sreetama Sarkar, Peter A. Beerel +2

Current video-based computer vision (CV) applications typically suffer from high energy consumption due to reading and processing all pixels in a frame, regardless of their signifi…

cs.ET2024

Delay Balancing with Clock-Follow-Data: Optimizing Area Delay Trade-offs for Robust Rapid Single Flux Quantum Circuits

Robert S. Aviles, Phalgun G K, Peter A. Beerel

This paper proposes an algorithm for synthesis of clock-follow-data designs that provides robustness against timing violations for RSFQ circuits while maintaining high performance…

cs.CV2024

MaskVD: Region Masking for Efficient Video Object Detection

Sreetama Sarkar, Gourav Datta, Souvik Kundu +3

Video tasks are compute-heavy and thus pose a challenge when deploying in real-time applications, particularly for tasks that require state-of-the-art Vision Transformers (ViTs). S…