Publication

Information about computer vision and machine learning academic field

- Top-tier conferences
: CVPR, ICCV, ECCV, NeurIPS (NIPS), ICML, and ICLR are considered high prestigious and top-tier conferences, which have greater impact than most SCI journals. According to Google scholar metrics, all these conferences are listed in the top 100 publications across all academic fields. Out of them, CVPR is the 10th rank among all academic fields, e.g., Cell journal is just the 9th rank. In terms of acceptance rate, oral presentations are about 4% and poster presentations about 20%, i.e., highly competitive. 

- Top-tier journals
: IEEE TPAMI and IJCV have among the highest impact factors across all computer science categories. As of 2019, the impact factor of TPAMI is 17.730.

International Journal

2020

Learning to Localize Sound Sources in Visual Scenes: Analysis and Applications

Arda Senocak, Tae-Hyun Oh, Junsik Kim, Ming-Hsuan Yang, In So Kweon
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), to appear.
[Dataset] [Featured by Seamless]

Corresponding Author: Tae-Hyun Oh

2019

Globally Optimal Inlier Set Maximization for Atlanta World Understanding

Kyungdon Joo, Tae-Hyun Oh, In So Kweon, Jean-Charles Bazin
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), to appear.
[Project page] [IEEE Xplore]

Gradient-based Camera Exposure Control for Outdoor Mobile Platforms

Inwook Shim, Tae-Hyun Oh, Joon-Young Lee, Dong-Geol Choi, Jinwook Choi, In So Kweon
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2019
[Project Page] [IEEE Xplore] [arXiv]

Robust and Globally Optimal Manhattan Frame Estimation in Near Real Time

Kyungdon Joo, Tae-Hyun Oh, Junsik Kim, In So Kweon 
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
[Code and Project page] [arXiv] [IEEE Xplore]

High-fidelity Depth Upsampling using Self-learning Framework

Inwook Shim,​ Tae-Hyun Oh, In So Kweon
Sensors, 2019
[PDF] [Video1] [Video2] [Video3]

2018

A Closed-Form Solution to Rotation Estimation for Structure from Small Motion

Hyowon Ha, Tae-Hyun Oh, In So Kweon
IEEE Signal Processing Letters, 2018.
[IEEE Xplore]

Fast Randomized Singular Value Thresholding for Low-rank Optimization

Tae-Hyun Oh, Yasuyuki Matsushita, Yu-Wing Tai, In So Kweon
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018.
[Project page] [arXiv]

2017

Robust Low-rank Optimization with Priors

Tae-Hyun Oh
Doctoral dissertation, KAIST, Aug., 2017

2016

Partial Sum Minimization of Singular Values in Robust PCA: Algorithm and Applications

Tae-Hyun Oh, Yu-Wing Tai, Jean-Chales Bazin, Hyeongwoo Kim, In So Kweon
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016.
[Project page] [arXiv]

2015

Robust High Dynamic Range Imaging by Rank Minimization

Tae-Hyun Oh, Joon-Young Lee, Yu-Wing Tai, In So Kweon
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2015.
[Project page] [IEEE Xplore]

An Autonomous Driving System for Unknown Environments using a Unified Map

Inwook Shim, Jongwon Choi, Seunghak Shin, Tae-Hyun Oh, Unghui Lee, Byungtae Ahn, Dong-Geol Choi, David Hyunchul Shim, In So Kweon
IEEE Transactions on Intelligence Transportation Systems (TITS), 2015.
[Video]

New Design Criteria for Robust PCA and a Compliant Bayesian-Inspired Algorithm

Tae-Hyun Oh, David Wipf, Yasuyuki Matsushita, In So Kweon
Preprint (arxiv)
[arXiv]

2012

International Conference

2020

Listen to Look: Action Recognition by Previewing Audio

Ruohan Gao, Tae-Hyun Oh, Kristen Grauman, Lorenzo Torresani
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun., 2020.
[PDF] [Project page]

Globally Optimal Relative Pose Estimation for Camera on a Selfie Stick

Kyungdon Joo, Hongdong Li, Tae-Hyun Oh, Yunsu Bok, In So Kweon
International Conference on Robotics and Automation (ICRA), 2020

Linear RGB-D SLAM for Atlanta World

Kyungdon Joo, Tae-Hyun Oh, Francois Rameau, Jean-Charles Bazin, In So Kweon
International Conference on Robotics and Automation (ICRA), 2020.

2019

Image Captioning with Very Scarce Supervised Data: Adversarial Semi-Supervised Learning Approach ​

Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh, In So Kweon
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019 (Long paper)
[PDF]

Visuomotor Understanding for Representation Learning of Driving Scenes

Seokju Lee, Junsik Kim, Tae-Hyun Oh, Yongseop Jeong, Donggeun Yoo, Stephen Lin, In So Kweon
British Machine Vision Conference (BMVC), 2019
[PDF] [Project page] [Dataset]

Neural Inverse Knitting: From Images to Manufacturing Instructions

Alexandre Kaspar*, Tae-Hyun Oh*, Liane Makatura, Petr Kellnhofer, Jacqueline Aslarus, Wojciech Matusik (* Equally contributed)
International Conference on Machine Learning (ICML), Jun., 2019
[PDF] [Project page]

Speech2Face: Learning the Face Behind a Voice

Tae-Hyun Oh*, Tali Dekel*, Changil Kim*, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Wojciech Matusik (* Equally contributed)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun., 2019.
[PDF] [Project page]

Variational Prototyping-Encoder: One-Shot Learning with Prototypical Images

Junsik Kim, Tae-Hyun Oh, Seokju Lee, Fei Pan, In So Kweon
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun., 2019.
[PDF] [Project page (code)]

Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning

Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh, In So Kweon
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun., 2019.
[PDF] [Project page] [Dataset] [Evaluation code (coming soon)]

Noise-Tolerant Audio-Visual Online Person Verification using an Attention-based Neural Network Fusion

Suwon Shon, Tae-Hyun Oh, James Glass
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May, 2019
[PDF]

2018

On Learning Associations of Faces and Voices

Changil Kim, Hijung Valentina Shin, Tae-Hyun Oh, Alexandre Kaspar, Mohamed Elgharib, Wojciech Matusik
Asian Conference on Computer Vision (ACCV), Dec., 2018.
[PDF] [Project page]

Learning-based Video Motion Magnification

Tae-Hyun Oh*, Ronnachai Jaroensri*, Changil Kim, Mohamed Elgharib,  Frédo Durand, William T. Freeman, Wojciech Matusik (* Equally contributed)
European Conference on Computer Vision (ECCV), Sep., 2018.
[Project page] [Video results] [PDF] [Oral presentation]

Semantic Soft Segmentation

Yağız Aksoy, Tae-Hyun Oh, Sylvain Paris, Marc Pollefeys, Wojciech Matusik
ACM Transactions on Graphics (ACM SIGGRAPH), 2018
[PDF] [Project page] [Video]

Part-based Player Identification using Deep Convolutional Representation and Multi-scale Pooling

Arda Senocak, Tae-Hyun Oh, Junsik Kim, In So Kweon
In CVSports workshop in conjunction with CVPR, Jun., 2018

Globally Optimal Inlier Set Maximization for Atlanta Frame Estimation

Kyungdon Joo, Tae-Hyun Oh, In So Kweon, Jean-Charles Bazin
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun., 2018.
[Project page]

Learning to Localize Sound Source in Visual Scenes

Arda Senocak, Tae-Hyun Oh, Junsik Kim, Ming-Hsuan Yang, In So Kweon
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun., 2018.
[Dataset] [Featured by Seamless]

Contextually Customized Video Summaries via Natural Language

Jinsoo  Choi, Tae-Hyun Oh, In So  Kweon
IEEE Winter Conference on Applications of Computer Vision (WAVC), 2018.
[PDF]

Disjoint Multi-task Learning between Heterogeneous Human-centric Tasks

Dong-Jin  Kim, Jinsoo  Choi, Tae-Hyun Oh, Youngjin  Yoon, In So  Kweon
IEEE Winter Conference on Applications of Computer Vision (WAVC), 2018.
[PDF]

Co-domain Embedding using Deep Quadruplet Network for Unseen Traffic Sign Recognition

Junsik Kim , Seokju Lee , Tae-Hyun Oh , In So Kweon
AAAI Conference on Artificial Intelligence (AAAI), 2018.
[PDF]

2017

Personalized Cinemagraphs using Semantic Understanding and Collaborative Learning

{Tae-Hyun Oh, Kyungdon  Joo}*, Neel  Joshi, Baoyuan  Wang, In So  Kweon, Sing Bing  Kang (*Equally contributed)
IEEE International Conference on Computer Vision, (ICCV), 2017.
[PDF] [Project Page]

Weakly- and Self-Supervised Learning for Content-aware Deep Image Retargeting

Donghyeon  Cho, Jinsun  Park, Tae-Hyun  Oh, Yu-Wing  Tai, In So  Kweon
IEEE International Conference on Computer Vision, (ICCV), 2017.
[PDF]

2016

A Pseudo-Bayesian Algorithm for Robust PCA

Tae-Hyun Oh, David Wipf, Yasuyuki Matsushita, In So Kweon
Neural Information Processing Systems (NIPS), Dec., 2016
[PDF]

Video-Story Composition via Plot Analysis

Jinsoo Choi, Tae-Hyun Oh, In So Kweon
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun., 2016.
[PDF] [Presentation in Las Vegas] [Dataset]

Globally Optimal Manhattan Frame Estimation in Real-time

{Tae-Hyun Oh, Kyungdon Joo}*, Junsik Kim, In So Kweon   (*Equally contributed)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun., 2016.
[Code and Project page]

2015

A Multi-View Structured-Light System for Highly Accurate 3D Modeling

Hyowon Ha, Tae-Hyun Oh, In So Kweon
International Conference on 3D Vision (3DV), Oct., 2015.

Line Meets As-Projective-As-Possible Image Stitching With Moving DLT

Kyungdon Joo, Namil Kim, Tae-Hyun Oh, In So Kweon
IEEE International Conference on Image Processing (ICIP), Sep., 2015.

Fast Randomized Singular Value Thresholding for Nuclear Norm Minimization

Tae-Hyun Oh, Yasuyuki Matsushita, Yu-Wing Tai, In So Kweon
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun., 2015
[Project page]

2014

A Two Phase Approach for Pedestrian Detection

SoonMin Hwang, Tae-Hyun Oh, In So Kweon
Workshop in conjunction with the 12th Asian Conference on Computer Vision (ACCVW), 2014

Cost-Aware Depth Map Estimation for Lytro Camera

Min Jung Kim, Tae-Hyun Oh, In So Kweon
IEEE International Conference on Image Processing (ICIP), Oct., 2014

Balanced Optical Flow Refinement by Bidirectional Constraint

Jongwon Choi, Hyeongwoo Kim, Tae-Hyun Oh, In So Kweon
IEEE International Conference on Image Processing (ICIP), Oct., 2014

2013

Partial Sum Minimization of Singular Values in RPCA for Low-Level Vision

Tae-Hyun Oh, Hyeongwoo Kim, Yu-Wing Tai, Jean-Chales Bazin, In So Kweon
IEEE International Conference on Computer Vision, (ICCV), Dec., 2013.
[Project page]

High Dynamic Range Imaging by a Rank-1 Constraint

Tae-Hyun Oh, Joon-Young Lee, In So Kweon
IEEE International Conference on Image Processing (ICIP), Sep., 2013
[Project page]

2012

Hierarchical 3D Line Restoration based on Angular Proximity in Structured Environments

Kyungdon Joo, Tae-Hyun Oh, Hyeongwoo Kim, In So Kweon
IEEE International Conference on Image Processing (ICIP), Sep., 2013

A Tensor Voting Approach for Multi-View 3D Scene Flow Estimation and Refinement

Jaesik Park, Tae-Hyun Oh, Jiyoung Jung, Yu-Wing Tai, In So Kweon
The 12th European Conference on Computer Vision (ECCV) , Oct., 2012.
[paper link]

Real-Time Motion Detection based on Discrete Cosine Transform

Tae-Hyun Oh, Joon-Young Lee, In So Kweon
IEEE International Conference on Image Processing (ICIP), Sep., 2012.

Other International Conference

Patents(International Only)

  • Apparatus for controlling exposure of multi-view camera, system including the same, and method for controlling exposure of multi-view camera. 
  • US Patent App. 15/367,041, 2016, German No. 102017201286.2, 2017
  • Generating semantically meaningful video loops in a cinemagraph. US Patent 9,779,774, 2017.
  • Automatic generation of semantic-based cinemagraphs. US20180025749A1.
  • METHOD AND APPARATUS FOR DETECTING SMOKE FROM IMAGE, US Patent App. 2015/0030203 A1.
  • Method and system for detecting matrix-based motion including frequency transform and filtering, US Patent App. 13/760,578, 2013.​