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Jong Hwan Ko

3 papers here

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

author position
  • middle author1
  • last author2

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

fields
  • cs.CV2
  • cs.LG1
ORCID 0000-0003-4434-4318

identity via Semantic Scholar / OpenAlex

most citedVW-SDK: Efficient Convolutional Weight Mapping Using Variable Windows for Processing-In-Memory Architectures

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2022

Streamable Neural Fields

Junwoo Cho, Seungtae Nam, Daniel Rho +2

Neural fields have emerged as a new data representation paradigm and have shown remarkable success in various signal representations. Since they preserve signals in their network p…

cs.CV2022

Bi-PointFlowNet: Bidirectional Learning for Point Cloud Based Scene Flow Estimation

Wencan Cheng, Jong Hwan Ko

Scene flow estimation, which extracts point-wise motion between scenes, is becoming a crucial task in many computer vision tasks. However, all of the existing estimation methods ut…

cs.LG2021★ 1 cited

VW-SDK: Efficient Convolutional Weight Mapping Using Variable Windows for Processing-In-Memory Architectures

Johnny Rhe, Sungmin Moon, Jong Hwan Ko

With their high energy efficiency, processing-in-memory (PIM) arrays are increasingly used for convolutional neural network (CNN) inference. In PIM-based CNN inference, the computa…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.