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Beomyoung Kim

3 papers here

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

author position
  • first author2
  • middle author1

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

fields
  • cs.CV3

identity via Semantic Scholar / OpenAlex

most citedDiscriminative Region Suppression for Weakly-Supervised Semantic Segmentation

12 citations · 17 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CV2022★ 5 cited

Learning Features with Parameter-Free Layers

Dongyoon Han, YoungJoon Yoo, Beomyoung Kim +1

Trainable layers such as convolutional building blocks are the standard network design choices by learning parameters to capture the global context through successive spatial opera…

cs.CV2021★ 12 cited

Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation

Beomyoung Kim, Sangeun Han, Junmo Kim

Weakly-supervised semantic segmentation (WSSS) using image-level labels has recently attracted much attention for reducing annotation costs. Existing WSSS methods utilize localizat…

cs.CV2021

TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection

Beomyoung Kim, Janghyeon Lee, Sihaeng Lee +2

We present a novel approach for oriented object detection, named TricubeNet, which localizes oriented objects using visual cues (i.e., heatmap) instead of oriented box offsets re…

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