Sungheon Park

I am a research associate in Bio-inspired vision lab at Northwestern university. I was a research scientist at Samsung Advanced Institute of Technology (SAIT) where I am working on the intersection of 3D vision and graphics. Prior to joining SAIT, I completed my PhD at Machine Intelligence and Pattern Analysis Lab, Seoul National University, Korea.

Email / Resume / Google Scholar / Github / Linkedin

Research

My research interest lies in computer vision and deep learning, with emphasis on 3D pose estimation and reconstruction of dynamic objects and scenes.

	Temporal Interpolation Is All You Need for Dynamic Neural Radiance Fields Sungheon Park, Minjung Son, Seokhwan Jang, Young Chun Ahn, Ji-Yeon Kim, Nahyup Kang CVPR 2023 (Highlight, Top 10% of accepted papers) Project page / arXiv Proposed two representations to train dynamic NeRFs based on temporal interpolation using neural nets (for high quality rendering) and hash grids (for fast training speed)
	PANeRF: Pseudo-view Augmentation for Improved Neural Radiance Fields Based on Few-shot Inputs Young Chun Ahn, Seokhwan Jang, Sungheon Park, Ji-Yeon Kim, Nahyup Kang arXiv Efficient few shot NeRF algorithm using pseudo-view augmentation of RGB and depth images.
	Procrustean Regression Networks: Learning 3D Structure of Non-Rigid Objects from 2D Annotations Sungheon Park, Minsik Lee, Nojun Kwak ECCV, 2020 arXiv / video / code Non-rigid structure from motion cost function is directly applied as a loss function of neural nets to learn 3D shapes from 2D inputs.
	Pose estimator and tracker using temporal flow maps for limbs Jihye Hwang, Jieun Lee, Sungheon Park, Nojun Kwak IJCNN, 2019 (Honorable Mention Award in the POSETRACK challenge at ECCV 2018 workshops) arXiv A pose estimator and tracker based on Limb Flow Maps.
	3D Human Pose Estimation with Relational Networks Sungheon Park, Nojun Kwak BMVC, 2018 arXiv / video / code 3D human pose estimator from 2D joint positions with robustness to missing joints.
	Music Source Separation Using Stacked Hourglass Networks Sungheon Park, Taehoon Kim, Kyogu Lee, Nojun Kwak ISMIR, 2018 arXiv / video / code CNNs for human pose estimation even works well with music source separation.
	Procrustean Regression: A Flexible Alignment-Based Framework for Nonrigid Structure Estimation Sungheon Park, Minsik Lee, Nojun Kwak Transactions on Image Processing, 2018 paper A non-rigid structure from motion algorithm that incorporates rotation alignment, which can be optimized via gradient-descent based methods.
	Independent Component Analysis by lp-norm Optimization Sungheon Park, Nojun Kwak Pattern Recognition, 2018 paper Independent component analysis can be implemented by minimizing or maximizing Lp norms.
	Athlete pose estimation by a global-local network Jihye Hwang, Sungheon Park, Nojun Kwak CVPR CVSports workshop, 2017 paper A 2D human pose estimator that combines global and local information.
	Analysis on the Dropout Effect in Convolutional Neural Networks Sungheon Park, Nojun Kwak ACCV, 2016 paper / code New regularization method for convolutional layers named Max-drop was proposed.
	3D Human Pose Estimation Using Convolutional Neural Networks with 2D Pose Information Sungheon Park, Jihye Hwang, Nojun Kwak ECCV Geometry Meets Deep Learning Workshop, 2016 arXiv 2D pose estimation results are directly used for 3D pose estimation.
	Cultural Event Recognition by Subregion Classification with Convolutional Neural Network Sungheon Park, Nojun Kwak CVPR ChaLearn Looking at the People Workshop, 2015 (3rd place in cultural event classification challenge) paper Image classification by classifying region proposals.
	Illumination Robust Optical Flow Estimation by Illumination-Chromaticity Decoupling Sungheon Park, Nojun Kwak ICIP, 2015 paper TV-L1 optical flow optimization on HSL color space.
	Polyp Detection in Colonoscopy Videos Using Deeply-Learned Hierarchical Features Sungheon Park, Myunggi Lee, Nojun Kwak Technical Report, 2015 paper Participated in polyp detection challenge at ISBI 2015 workshops.
	Line-based Single View 3D Reconstruction in Manhattan World for Augmented Reality Sungheon Park, Hyeopwoo Lee, Suwon Lee, Hyun S. Yang VRCAI, 2015 paper
	Smartphone as an Augmented Reality Authoring Tool via Multi-Touch Based 3D Interaction Method Jinki Jung, Jihye Hong, Sungheon Park, Hyun S. Yang VRCAI, 2012 paper

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