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Sungjoon Choi

27 papers hereh-index 212.3k citations71 works total

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

author position
  • first author7
  • middle author10
  • last author10

Across the 27 of 27 papers where every author was matched, so the position is known.

fields
  • cs.RO12
  • cs.CV10
  • cs.LG5
same name
  • Sungjoon Choi — 9 papers, h 2
  • Sungjoon Choi — 7 papers, h 2
  • Sungjoon Choi — 2 papers, h 3
  • Sungjoon Choi — 2 papers, h 3
  • Sungjoon Choi — 1 paper
  • Sungjoon Choi — 1 paper, 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
20162026
most citedA Large Dataset of Object Scans

114 citations · 195 across the 22 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.RO2018★ 1 cited

Interactive Text2Pickup Network for Natural Language based Human-Robot Collaboration

Hyemin Ahn, Sungjoon Choi, Nuri Kim +2

In this paper, we propose the Interactive Text2Pickup (IT2P) network for human-robot collaboration which enables an effective interaction with a human user despite the ambiguity in…

cs.LG2018★ 3 cited

Maximum Causal Tsallis Entropy Imitation Learning

Kyungjae Lee, Sungjoon Choi, Songhwai Oh

In this paper, we propose a novel maximum causal Tsallis entropy (MCTE) framework for imitation learning which can efficiently learn a sparse multi-modal policy distribution from d…

cs.LG2018★ 7 cited

Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks

Sungjoon Choi, Sanghoon Hong, Kyungjae Lee +1

In this paper, we focus on weakly supervised learning with noisy training data for both classification and regression problems.We assume that the training outputs are collected fro…

cs.CV2018

Fast, Trainable, Multiscale Denoising

Sungjoon Choi, John Isidoro, Pascal Getreuer +1

Denoising is a fundamental imaging problem. Versatile but fast filtering has been demanded for mobile camera systems. We present an approach to multiscale filtering which allows re…

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