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Hongjun Choi

Purdue University

3 papers hereh-index 12826 citations29 works total

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

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.LG1
affiliations
  • Purdue University
Homepage
same name
  • Hongjun Choi — 9 papers, h 7
  • Hongjun Choi — 4 papers, h 1
  • Hongjun Choi — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202022
most citedRole of Orthogonality Constraints in Improving Properties of Deep Networks for Image Classification

5 citations · 7 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2022★ 2 cited

Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches

Zhiyuan Cheng, James Liang, Hongjun Choi +4

Deep learning has substantially boosted the performance of Monocular Depth Estimation (MDE), a critical component in fully vision-based autonomous driving (AD) systems (e.g., Tesla…

cs.LG2021

Interpretable COVID-19 Chest X-Ray Classification via Orthogonality Constraint

Ella Y. Wang, Anirudh Som, Ankita Shukla +2

Deep neural networks have increasingly been used as an auxiliary tool in healthcare applications, due to their ability to improve performance of several diagnosis tasks. However, t…

cs.CV2020★ 5 cited

Role of Orthogonality Constraints in Improving Properties of Deep Networks for Image Classification

Hongjun Choi, Anirudh Som, Pavan Turaga

Standard deep learning models that employ the categorical cross-entropy loss are known to perform well at image classification tasks. However, many standard models thus obtained of…

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