Gyeongmin "Chris" Choe 



Senior Research Engineer, Samsung Research America (SRA) 
Research on computer vision, deep learning & AI for mobile camera applications.
[Curriculum Vitae] [Google Scholar] [LinkedIn]

 6625 Excellence Way, Plano, TX, USA, 75023

Email: gmchoe08 [at] gmail.com / gyeongmin.c [at] samsung.com


News


CVPR 2020 NTIRE workshop paper on synthetic HDR dataset accepted (Jun. 2020)
ICRA 2020 together with RA-L paper accepted (2020)
CVPR 2019 Workshop Demo on Computational Cameras and Displays (Jun. 2019)
Ph.D. Graduated,started working in Samsung Research America (Oct. 2018)
TPAMI and 1 RA-L papers accepted (2018)
ICCV Doctoral Consortium Awarded & Joined in Venice, Italy (2017)
1 ICRA paper accepted (2017)
I won Best Poster Award (1st place) in IWRCV 2016  [Prize] (2016)
I won Grand prize (1st place) for BK 21 plus overseas study report competition  [Prize] (2016)
1 CVPR, 1 IJCV and 2 ECCV papers accepted (2016)
Visiting Carnegie Mellon University to work with prof. Srinivasa Narasimhan (2015.07 - 2015.12)
1 CVPR, 1 ICCV and 2 ICIP papers accepted (2015)
1 CVPR paper accepted (2014)
I Won 20th Samsung HumanTech Paper Award,  Silver prize (2nd place)  [Prize] (2014)

Educations



Ph.D., KAIST - Electrical Engineering                                                                                    2013.02 - 2018.08
(Integrated master's and doctor's course)
Advisor: prof. In So Kweon 

Visiting Ph.D. student, Carnegie Mellon University - Robotics Institute                           2015.07 - 2015.12
Advisor: prof. Srinivasa Narasimhan

B.S., KAIST - Mechanical Engineering                                                                                   2008.02 - 2012.02      
                    
High School Diploma (completed in two years), Kangwon Science High School                  2006.03 - 2008.02            

International Journals






Salient View Selection for Visual Recognition of Industrial Components,
Seong-heum Kim, Gyeongmin Choe, Min-Gyu Park, In So Kweon,  

IEEE Robotics and Automation Letters (RA-L), To appear
IEEE International Conference on Robotics and Automation (ICRA), May. 2020


Accurate 3D
 Reconstruction for Small Motion Clip for Rolling Shutter Cameras
,
Sunghoon Im, Hyowon Ha, Gyeongmin Choe, Hae-Gon Jeon, Kyungdon Joo and In So Kweon,
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018

[project page] [pdf] [bibtex]

RANUS: RGB and NIR Urban Scene Dataset for Deep Scene Parsing,
Gyeongmin Choe, Seong-heum Kim, Sunghoon Im, Joon-Young Lee, Srinivasa Narasimhan, and In So Kweon,  
IEEE Robotics and Automation Letters (RAL), Feb. 2018
[project page] [pdf] [bibtex]

Depth from a Light Field Image with Learning-based Matching Costs,

Hae-Gon Jeon, Jaesik Park, Gyeongmin Choe, Jinsun Park, Yunsu Bok, Yu-Wing Tai, and In So Kweon,  
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018
[project page] [pdf] [bibtex]

Refining Geometry from Depth Sensors using IR Shading Images,
Gyeongmin Choe, Jaesik Park, Yu-Wing Tai and, In So Kweon,  
International Journal of Computer Vision (IJCV), Mar. 2017
[project page] [pdf] [bibtex]


 

International Conferences


https://sites.google.com/site/gmchoe1/kinir/home/teaser.gif
 

Sensor-realistic Synthetic Data Engine for Multi-frame High Dynamic Range Photography,
Jinhan Hu, Gyeongmin Choe, Zeeshan Nadir, Osama Nabil, Seok-Jun Lee, Hamid Sheikh, Youngjun Yoo, Michael Polley,
IEEE 
International Conference on Computer Vision and Pattern Recognition (CVPR) Workshop - NTIRE, Jun. 2020. 

[project page] [pdf] [bibtex]

 

A Taxonomy and Evaluation of Dense Light Field Depth Estimation Algorithms ,
Ole Johannsen, Katrin Honauer, Bastian Goldluecke, Anna Alperovich, Federica Battisti, Yunsu Bok, Michele Brizzi, Marco Carli, Gyeongmin Choe, Maximilian Diebold, Marcel Gutsche, Hae-Gon Jeon, In So Kweon, Jaesik Park, Jinsun Park, Hendrik Schilling, Hao Sheng, Lipeng Si, Michael Strecke, Antonin Sulc, Yu-Wing Tai, Qing Wang, Ting-Chun Wang, Sven Wanner, Zhang Xiong, Jingyi Yu, Shuo Zhang, and Hao Zhu,
IEEE International Conference on Computer Vision and Pattern Recognition (
CVPR) Workshop - Light Field for Computer Vision, Jul. 2017. 

[project page] [pdf] [bibtex]

A Real-Time and Energy-Efficient Embedded System for Intelligent ADAS with RNN-Based Deep Risk Prediction using Stereo Camera,
Kyuho Lee, Gyeongmin Choe, Kyeongryeol Bong, Changhyeon Kim, In So Kweon, and Hoi-Jun Yoo, 
International Conference on Computer Vision Systems (ICVS), Jul. 2017.
[project page] [pdf] [bibtex]

Deep Representation of Industrial Components using Simulated Images,
Seong-heum Kim, Gyeongmin Choe, Byungtae Ahn, and In So Kweon, 
IEEE International Conference on Robotics and Automation (ICRA), May. 2017.
[project page] [pdf] [bibtex]

Fine-scale Surface Normal Estimation using a Single NIR Image,
Youngjin Yoon*, Gyeongmin Choe*, Namil Kim, Joon-Young Lee, and In So Kweon, 
European Conference on Computer Vision (ECCV), Oct. 2016. 
* Equal contiribution
[project page] [pdf] [bibtex]
All-around Depth from Small Motion with A Spherical Panoramic Camera,
Sunghoon Im, Hyowon Ha, Francois Rameau, Hae-Gon Jeon, Gyeongmin Choe, and In So Kweon, 
European Conference on Computer Vision (ECCV), Oct. 2016. 
[project page] [pdf] [bibtex]

Simultaneous Estimation of Near IR BRDF and Fine-Scale Surface Geometry,
Gyeongmin Choe, Srinivasa G. Narasimhan, and In So Kweon, 
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Jun. 2016. Spotlight (Acceptance rate of 9.7%)
[project page] [pdf] [bibtex]
High Quality Structure from Small Motion for Rolling Shutter Cameras ,
Sunghoon Im, Hyowon Ha, Gyeongmin Choe, Hae-Gon Jeon, Kyungdon Joo, and In So Kweon ,
IEEE International Conference on Computer Vision (ICCV), Dec. 2015.
[project page] [pdf] [bibtex]

Depth from Accidental Motion using Geometry Prior ,
Sunghoon Im, Gyeongmin Choe, Hae-Gon Jeon, and In So Kweon, 
IEEE International Conference on Image Processing (ICIP) [Top 10% paper], Sep. 2015. 
[project page] [pdf] [bibtex]

Reflection Removal using Disparity and Gradient-Sparsity via Smoothing Algorithm ,
Tharatch Sirinukulwattana, Gyeongmin Choe, and In So Kweon, 
IEEE International Conference on Image Processing (ICIP), Sep. 2015 
[pdf] [bibtex]

Accurate Depth Map Estimation from a Lenslet Light Field Camera,
Hae-Gon Jeon, Jaesik Park, Gyeongmin Choe, Jinsun Park, Yunsu Bok, Yu-Wing Tai, and In So Kweon,
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Jun. 2015.

[project page] [pdf] [bibtex]


Exploiting Shading Cues in Kinect IR Images for Geometry Refinement,
Gyeongmin Choe, Jaesik Park, Yu-Wing Tai, and In So Kweon, 
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Jun. 2014.
[project page] [pdf] [bibtex] [codes]
 

Reviewer Experiences


IEEE Transactions on Image Processing (TIP)
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)
IEEE International Conference on Robotics and Automation (ICRA)
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR)
Asian Conference on Computer Vision (ACCV)
Computer Vision and Image Understanding (CVIU)
Computational Visual Media Conference (CVM)
Computer Science and Application Engineering (CSAE)

Awards & Honors


- Grant, ICCV Doctoral Consortium, Venice, Italy, Oct. 2017
Depth estimation challenge: robustness champion, CVPR workshop on Light Fields for Computer Vision, Jul. 2017 [Prize]
Best Poster Presentation Award, IPIU 2017, Korea, Feb. 2017 [Prize]
Best Poster Award, The 11th IWRCV, Korea, Dec. 2016 [Prize] 
- Grand prize (1st place), BK 21 plus overseas study report competition, KAIST, Jul. 2016 [Prize] 
- Best Poster Award, The 10th IWRCV, China, Nov. 2015 [Prize] 
- Official Best 10% Paper Selection, ICIP 2015 Organizing Committee, Sep. 2015 
- Oral presentation, The 9th IWRCV, Japan, Dec. 2014 
- Certificate, International Computer Vision Summer School (ICVSS 2014), Sicily, Italy, Jul. 2014
[Certificate] 
- Silver prize(2nd place), 20th HumanTech Paper Award, Samsung Electronics Corp., Feb. 2014 [Prize] 
- Student volunteer, Asian Conference on Computer Vision (ACCV 2012), Daejeon, Korea, Nov. 2012 

- Full scholarship, KAIST, Feb. 2008 ~ Feb. 2012 
- Scholarship, Samsung Electronics Corp., Feb. 2008 

- Silver Prize(2nd place), 13th HumanTech Paper Award, Samsung Electronics Corp., Feb. 2007

Patents


METHOD AND APPARATUS OF FINE-SCALE SURFACE NORMAL ESTIMATION USING SINGLE NIR IMAGE, AND NEURAL NETWORK LEARNING METHOD

kr 10-2017-0112107 / Application date: Sep. 2017 

APPARATUS AND METHOD FOR DEPTH MAP GENERATION
kr 10-1745493-0000 / Registration date: Jun. 2017
DEVICE AND METHOD FOR OBTAINING ACCURATE 3D INFORMATION USING DEPTH SENSOR AND INFRARED SHADING CUES
kr 10-1707939-0000 / Registration date: Feb. 2017
METHOD AND APPARATUS FOR ACQUIRING DEPTH MAP FROM ALL-AROUND CAMERA
kr 10-2016-0167525 / Application date: Dec. 2016 
METHOD AND SYSTEM FOR ESTIMATING SURFACE GEOMETRY AND REFLECTANCE
kr 10-2016-0167526 / Application date: Dec. 2016  


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