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Dense Relational Image Captioning via Multi-task Triple-Stream Networks

Oct 12, 2020
Dong-Jin Kim, Tae-Hyun Oh, Jinsoo Choi, In So Kweon

* Journal extension of our CVPR 2019 paper ( arXiv:1903.05942 ). Source code : https://github.com/Dong-JinKim/DenseRelationalCaptioning 

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Monocular Reconstruction of Neural Face Reflectance Fields

Aug 24, 2020
Mallikarjun B R., Ayush Tewari, Tae-Hyun Oh, Tim Weyrich, Bernd Bickel, Hans-Peter Seidel, Hanspeter Pfister, Wojciech Matusik, Mohamed Elgharib, Christian Theobalt

* Project page - http://gvv.mpi-inf.mpg.de/projects/FaceReflectanceFields/ 

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Cross-domain Self-supervised Learning for Domain Adaptation with Few Source Labels

Mar 18, 2020
Donghyun Kim, Kuniaki Saito, Tae-Hyun Oh, Bryan A. Plummer, Stan Sclaroff, Kate Saenko


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Listen to Look: Action Recognition by Previewing Audio

Dec 12, 2019
Ruohan Gao, Tae-Hyun Oh, Kristen Grauman, Lorenzo Torresani


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

Nov 20, 2019
Arda Senocak, Tae-Hyun Oh, Junsik Kim, Ming-Hsuan Yang, In So Kweon

* To appear in TPAMI. arXiv admin note: substantial text overlap with arXiv:1803.03849 

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Visuomotor Understanding for Representation Learning of Driving Scenes

Sep 16, 2019
Seokju Lee, Junsik Kim, Tae-Hyun Oh, Yongseop Jeong, Donggeun Yoo, Stephen Lin, In So Kweon

* BMVC 2019. Supplementary material: https://bmvc2019.org/wp-content/uploads/papers/0002-supplementary.zip Dataset: http://github.com/SeokjuLee/driving-dataset-doc 

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

Sep 05, 2019
Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh, In So Kweon

* EMNLP 2019 

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Speech2Face: Learning the Face Behind a Voice

May 23, 2019
Tae-Hyun Oh, Tali Dekel, Changil Kim, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Wojciech Matusik

* To appear in CVPR2019. Project page: http://speech2face.github.io 

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

Apr 17, 2019
Junsik Kim, Tae-Hyun Oh, Seokju Lee, Fei Pan, In So Kweon

* Accepted to CVPR 2019 

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

Apr 01, 2019
Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh, In So Kweon

* CVPR 2019. Project page : https://sites.google.com/view/relcap 

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Neural Inverse Knitting: From Images to Manufacturing Instructions

Feb 07, 2019
Alexandre Kaspar, Tae-Hyun Oh, Liane Makatura, Petr Kellnhofer, Jacqueline Aslarus, Wojciech Matusik

* In submission 

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Noise-tolerant Audio-visual Online Person Verification using an Attention-based Neural Network Fusion

Nov 27, 2018
Suwon Shon, Tae-Hyun Oh, James Glass


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On Learning Associations of Faces and Voices

Nov 02, 2018
Changil Kim, Hijung Valentina Shin, Tae-Hyun Oh, Alexandre Kaspar, Mohamed Elgharib, Wojciech Matusik

* 27 pages including the supplementary material; Accepted to ACCV 2018 

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Learning-based Video Motion Magnification

Aug 01, 2018
Tae-Hyun Oh, Ronnachai Jaroensri, Changil Kim, Mohamed Elgharib, Frédo Durand, William T. Freeman, Wojciech Matusik

* Accepted as ECCV 2018 Oral. The 1st and 2nd authors equally contributed. Video result: https://youtu.be/GrMLeEcSNzY , Project page: http://people.csail.mit.edu/tiam/deepmag/ Some bibliography information was fixed 

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Gradient-based Camera Exposure Control for Outdoor Mobile Platforms

Jun 13, 2018
Inwook Shim, Tae-Hyun Oh, Joon-Young Lee, Jinwook Choi, Dong-Geol Choi, In So Kweon

* Extended version of IROS 2014 

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Robust and Globally Optimal Manhattan Frame Estimation in Near Real Time

Apr 13, 2018
Kyungdon Joo, Tae-Hyun Oh, Junsik Kim, In So Kweon

* To appear in TPAMI 

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Learning to Localize Sound Source in Visual Scenes

Mar 10, 2018
Arda Senocak, Tae-Hyun Oh, Junsik Kim, Ming-Hsuan Yang, In So Kweon

* To appear in CVPR 2018. Total 9 pages 

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Contextually Customized Video Summaries via Natural Language

Mar 02, 2018
Jinsoo Choi, Tae-Hyun Oh, In So Kweon

* To appear in WACV 2018 

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Disjoint Multi-task Learning between Heterogeneous Human-centric Tasks

Feb 14, 2018
Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh, Youngjin Yoon, In So Kweon

* 10 pages, 7 figures 

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

Dec 05, 2017
Junsik Kim, Seokju Lee, Tae-Hyun Oh, In So Kweon

* To appear in AAAI 2018 

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Personalized Cinemagraphs using Semantic Understanding and Collaborative Learning

Aug 09, 2017
Tae-Hyun Oh, Kyungdon Joo, Neel Joshi, Baoyuan Wang, In So Kweon, Sing Bing Kang

* To appear in ICCV 2017. Total 17 pages including the supplementary material 

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

Aug 09, 2017
Donghyeon Cho, Jinsun Park, Tae-Hyun Oh, Yu-Wing Tai, In So Kweon

* 10 pages, 11 figures. To appear in ICCV 2017, Spotlight Presentation 

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Pseudo-Bayesian Robust PCA: Algorithms and Analyses

Oct 07, 2016
Tae-Hyun Oh, Yasuyuki Matsushita, In So Kweon, David Wipf

* Journal version of NIPS 2016. Submitted to TPAMI 

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Fast Randomized Singular Value Thresholding for Low-rank Optimization

Aug 22, 2016
Tae-Hyun Oh, Yasuyuki Matsushita, Yu-Wing Tai, In So Kweon

* Appeared in CVPR 2015, and under major revision of TPAMI. Source code is available on http://thoh.kaist.ac.kr 

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Human Attention Estimation for Natural Images: An Automatic Gaze Refinement Approach

Jan 12, 2016
Jinsoo Choi, Tae-Hyun Oh, In So Kweon


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

Aug 13, 2015
Tae-Hyun Oh, Yu-Wing Tai, Jean-Charles Bazin, Hyeongwoo Kim, In So Kweon

* Accepted in Transactions on Pattern Analysis and Machine Intelligence (TPAMI). To appear 

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