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researcher

Andrew Hryniowski

13 papers hereh-index 796 citations17 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author6
  • middle author6
  • last author1

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • cs.LG7
  • cs.CV3
  • cs.NE3

identity via Semantic Scholar / OpenAlex

activity
20182023
most citedHow Much Can We Really Trust You? Towards Simple, Interpretable Trust Quantification Metrics for Deep Neural Networks

16 citations · 28 across the 13 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2023

DVQI: A Multi-task, Hardware-integrated Artificial Intelligence System for Automated Visual Inspection in Electronics Manufacturing

Audrey Chung, Francis Li, Jeremy Ward +2

As electronics manufacturers continue to face pressure to increase production efficiency amid difficulties with supply chains and labour shortages, many printed circuit board assem…

cs.CV2023

Systematic Architectural Design of Scale Transformed Attention Condenser DNNs via Multi-Scale Class Representational Response Similarity Analysis

Andre Hryniowski, Alexander Wong

Self-attention mechanisms are commonly included in a convolutional neural networks to achieve an improved efficiency performance balance. However, adding self-attention mechanisms…

cs.CV2021★ 3 cited

AttendSeg: A Tiny Attention Condenser Neural Network for Semantic Segmentation on the Edge

Xiaoyu Wen, Mahmoud Famouri, Andrew Hryniowski +1

In this study, we introduce \textbf{AttendSeg}, a low-precision, highly compact deep neural network tailored for on-device semantic segmentation. AttendSeg possesses a self-attenti…

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