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Email: redstonepo@gmail.com
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I will begin my PhD in the EECS department at UC Berkeley as part of the BAIR program this fall (2024)! I have the privilege of potentially being advised by Prof. Angjoo Kanazawa and Prof. Jitendra Malik. My research interests span a wide range of topics in machine learning and computer vision, and I aim to focus more on robotics during my PhD journey! Previously, I was advised by Prof. Kyoung Mu Lee and worked with Prof. Gyeongsik Moon. I first authored 7 papers out of 11 total papers (ex. CVPR, ICLR, ICRA) and filed 3 patents, most completed during my 2 years in a Master's program. Please refer to my CV for more information.
Hongsuk Choi (*), Isaac Kasahara (*), Selim Engin, Moritz Alexander Graule, Nikhil Chavan-Dafle, Volkan Isler (* equal contribution)
preprint
[HOMEPAGE] [ARXIV] [CODE]
Hongsuk Choi, Nikhil Chavan-Dafle, Jiacheng Yuan, Volkan Isler, Hyunsoo Park
In ICRA 2024
[HOMEPAGE] [ARXIV] [VIDEO] [CODE]
Hongsuk Choi (*), Hyeongjin Nam (*), Taeryung Lee, Gyeongsik Moon, Kyoung Mu Lee (* equal contribution)
In ICLR 2023
[ARXIV] [VIDEO]
Gyeongsik Moon, Hongsuk Choi, Sanghyuk Chun, Jiyoung Lee, Sangdoo Yun
In CVPRW 2023
[ARXIV] [PDF] [HOMEPAGE]
MonoNHR: Monocular Neural Human Renderer
Hongsuk Choi (), Gyeongsik Moon (), Matthieu Armando, Vincent Leroy, Kyoung Mu Lee, Gregory Rogez (* equal contribution)
In 3DV 2022
[ARXIV] [VIDEO]
HandOccNet: Occlusion-Robust 3D Hand Mesh Estimation Network
JoonKyu Park (), Yeonguk Oh (), Gyeongsik Moon (), Hongsuk Choi, Kyoung Mu Lee ( equal contribution)
In CVPR 2022
[ARXIV] [CODE]
Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes
Hongsuk Choi, Gyeongsik Moon, JoonKyu Park, Kyoung Mu Lee
In CVPR 2022
[ARXIV] [CODE]
Accurate 3D Hand Pose Estimation for Whole-Body 3D Human Mesh Estimation
Gyeongsik Moon, Hongsuk Choi, Kyoung Mu Lee
In CVPRW 2022
[ARXIV] [VIDEO] [CODE]
NeuralAnnot: Neural Annotator for 3D Human Mesh Training Sets
Gyeongsik Moon, Hongsuk Choi, Kyoung Mu Lee
In CVPRW 2022
[ARXIV] [HOMEPAGE]
Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a Video
Hongsuk Choi, Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee
In CVPR 2021
[ARXIV] [PDF] [CODE] [VIDEO]
Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose
Hongsuk Choi (), Gyeongsik Moon () , Kyoung Mu Lee (* equal contribution)
In ECCV 2020
[ARXIV] [PDF] [CODE] [VIDEO]
SNU Distinguished Master Dissertation Award (2022)
1st place and 2nd place at the 3D human pose estimation in the wild (3DPW) challenge of a without association track in joint orientation and position metrics, respectively
(workshop in conjunction with ECCV 2020)
Qualcomm IT Tour 2019 presentation competition 1st place (2019)
- A Reviewer for computer vision and machine learning conferences every year - CVPR, ICCV, ECCV, NeuRIPS, and others
- A Reviewer for computer vision journals every year - TPAMI, TIP, IJCV and others
Ph.D. candidate, Electrical Engineering and Computer Sciences, UC Berkeley, Berkeley, CA, USA
2024 - present
ML Research Engineer, Samsung Research America (SRA), New York, NY, USA
2022 - 2024
Visiting Researcher, Naver CLOVA AI Lab, Seoul, Korea
2022
Research Intern, Naver Labs Europe (NLE), Grenoble, France
2021
M.S., Electrical and Computer Engineering, Seoul National University (SNU), Seoul, Korea
2020 - 2022
Repulic of Korea Airforce (ROKA), Gyeryong, Korea
2015 - 2017
B.S., Business | Computer Science & Engineering, Seoul National University (SNU), Seoul, Korea
2013 - 2020