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Sung-Hee Lee

9 papers hereh-index 242.6k citations89 works total

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

author position
  • last author9

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.GR3
  • cs.HC3
  • cs.CV2
  • cs.RO1
same name
  • Sung-Hee Lee — 3 papers, h 3
  • Sung-Hee Lee — 2 papers, h 2
  • Sung-Hee Lee — 2 papers, h 2
  • Sung-Hee Lee — 1 paper, h 3

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 citedMotion Puzzle: Arbitrary Motion Style Transfer by Body Part

78 citations · 277 across the 9 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CV2021★ 2 cited

Generating Datasets of 3D Garments with Sewing Patterns

Maria Korosteleva, Sung-Hee Lee

Garments are ubiquitous in both real and many of the virtual worlds. They are highly deformable objects, exhibit an immense variety of designs and shapes, and yet, most garments ar…

cs.RO2021

Quadruped Locomotion on Non-Rigid Terrain using Reinforcement Learning

Taehei Kim, Sung-Hee Lee

Legged robots need to be capable of walking on diverse terrain conditions. In this paper, we present a novel reinforcement learning framework for learning locomotion on non-rigid d…

cs.HC2021★ 9 cited

A Full Body Avatar-Based Telepresence System for Dissimilar Spaces

Leonard Yoon, Dongseok Yang, Choongho Chung +1

We present a novel mixed reality (MR) telepresence system enabling a local user to interact with a remote user through full-body avatars in their own rooms. If the remote rooms hav…

cs.GR2021★ 60 cited

LoBSTr: Real-time Lower-body Pose Prediction from Sparse Upper-body Tracking Signals

Dongseok Yang, Doyeon Kim, Sung-Hee Lee

With the popularization of game and VR/AR devices, there is a growing need for capturing human motion with a sparse set of tracking data. In this paper, we introduce a deep neural-…

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