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Bohyung Han

60 papers hereh-index 5720.4k citations156 works total

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

author position
  • middle author9
  • last author50

Across the 59 of 60 papers where every author was matched, so the position is known.

fields
  • cs.CV43
  • cs.LG16
  • eess.IV1
same name
  • Bohyung Han — 9 papers, h 4
  • Bohyung Han — 8 papers, h 4
  • Bohyung Han — 7 papers, h 4
  • Bohyung Han — 5 papers, h 5
  • Bohyung Han — 4 papers, h 3
  • Bohyung Han — 4 papers, h 4

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
20152023
most citedLearning Deconvolution Network for Semantic Segmentation

614 citations · 1.9k across the 38 of their papers we have counts for

collaborators
Showing 2020 · cs.CVShow all

4 papers · 2 filters

cs.CV2020

Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud

Seohyun Kim, Jaeyoo Park, Bohyung Han

We propose a local-to-global representation learning algorithm for 3D point cloud data, which is appropriate to handle various geometric transformations, especially rotation, witho…

cs.CV2020★ 1 cited

AIM 2019 Challenge on Video Temporal Super-Resolution: Methods and Results

Seungjun Nah, Sanghyun Son, Radu Timofte +1

Videos contain various types and strengths of motions that may look unnaturally discontinuous in time when the recorded frame rate is low. This paper reviews the first AIM challeng…

cs.CV2020★ 27 cited

Local-Global Video-Text Interactions for Temporal Grounding

Jonghwan Mun, Minsu Cho, Bohyung Han

This paper addresses the problem of text-to-video temporal grounding, which aims to identify the time interval in a video semantically relevant to a text query. We tackle this prob…

cs.CV2020

Weakly Supervised Instance Segmentation by Deep Community Learning

Jaedong Hwang, Seohyun Kim, Jeany Son +1

We present a weakly supervised instance segmentation algorithm based on deep community learning with multiple tasks. This task is formulated as a combination of weakly supervised o…

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