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DynaDog+T: A Parametric Animal Model for Synthetic Canine Image Generation


Jul 20, 2021
Jake Deane, Sinead Kearney, Kwang In Kim, Darren Cosker

* CV4Animals Workshop in CVPR 2021. Update to correct minor spelling and grammer mistakes in supplementary material 

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GaussiGAN: Controllable Image Synthesis with 3D Gaussians from Unposed Silhouettes


Jun 24, 2021
Youssef A. Mejjati, Isa Milefchik, Aaron Gokaslan, Oliver Wang, Kwang In Kim, James Tompkin


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Look here! A parametric learning based approach to redirect visual attention


Aug 12, 2020
Youssef Alami Mejjati, Celso F. Gomez, Kwang In Kim, Eli Shechtman, Zoya Bylinskii

* To appear in ECCV 2020 

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Combining Task Predictors via Enhancing Joint Predictability


Jul 15, 2020
Kwang In Kim, Christian Richardt, Hyung Jin Chang


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RGBD-Dog: Predicting Canine Pose from RGBD Sensors


Apr 16, 2020
Sinead Kearney, Wenbin Li, Martin Parsons, Kwang In Kim, Darren Cosker

* 18 pages, 16 figures, to be published in CVPR 2020 

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Task-Aware Variational Adversarial Active Learning


Feb 11, 2020
Kwanyoung Kim, Dongwon Park, Kwang In Kim, Se Young Chun

* 10 pages, 7 figures, 1 table 

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Generating Object Stamps


Jan 10, 2020
Youssef Alami Mejjati, Zejiang Shen, Michael Snower, Aaron Gokaslan, Oliver Wang, James Tompkin, Kwang In Kim

* 27 pages, 25 figures, 11 tables. Paper under review 

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Implicit Filter Sparsification In Convolutional Neural Networks


May 13, 2019
Dushyant Mehta, Kwang In Kim, Christian Theobalt

* ODML-CDNNR 2019 (ICML'19 workshop) extended abstract of the CVPR 2019 paper "On Implicit Filter Level Sparsity in Convolutional Neural Networks, Mehta et al." (arXiv:1811.12495) 

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Joint Manifold Diffusion for Combining Predictions on Decoupled Observations


Apr 10, 2019
Kwang In Kim, Hyung Jin Chang

* Published at CVPR 2019 

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Pushing the Envelope for RGB-based Dense 3D Hand Pose Estimation via Neural Rendering


Apr 09, 2019
Seungryul Baek, Kwang In Kim, Tae-Kyun Kim

* Accepted to CVPR 2019 

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On Implicit Filter Level Sparsity in Convolutional Neural Networks


Nov 29, 2018
Dushyant Mehta, Kwang In Kim, Christian Theobalt


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Improving Shape Deformation in Unsupervised Image-to-Image Translation


Aug 13, 2018
Aaron Gokaslan, Vivek Ramanujan, Daniel Ritchie, Kwang In Kim, James Tompkin


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Ranking CGANs: Subjective Control over Semantic Image Attributes


Jul 24, 2018
Yassir Saquil, Kwang In Kim, Peter Hall


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Unsupervised Attention-guided Image to Image Translation


Jun 19, 2018
Youssef A. Mejjati, Christian Richardt, James Tompkin, Darren Cosker, Kwang In Kim


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Multi-Task Deep Networks for Depth-Based 6D Object Pose and Joint Registration in Crowd Scenarios


Jun 11, 2018
Juil Sock, Kwang In Kim, Caner Sahin, Tae-Kyun Kim


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Deep Convolutional Decision Jungle for Image Classification


May 18, 2018
Seungryul Baek, Kwang In Kim, Tae-Kyun Kim


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Augmented Skeleton Space Transfer for Depth-based Hand Pose Estimation


May 11, 2018
Seungryul Baek, Kwang In Kim, Tae-Kyun Kim

* Accepted to CVPR 2018 

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Criteria Sliders: Learning Continuous Database Criteria via Interactive Ranking


Jun 12, 2017
James Tompkin, Kwang In Kim, Hanspeter Pfister, Christian Theobalt


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Real-time Online Action Detection Forests using Spatio-temporal Contexts


Oct 28, 2016
Seungryul Baek, Kwang In Kim, Tae-Kyun Kim


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Context-guided diffusion for label propagation on graphs


Feb 20, 2016
Kwang In Kim, James Tompkin, Hanspeter Pfister, Christian Theobalt


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Semi-supervised Learning with Explicit Relationship Regularization


Feb 11, 2016
Kwang In Kim, James Tompkin, Hanspeter Pfister, Christian Theobalt

* Accepted version of paper published at CVPR 2015, http://dx.doi.org/10.1109/CVPR.2015.7298831 

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Local High-order Regularization on Data Manifolds


Feb 11, 2016
Kwang In Kim, James Tompkin, Hanspeter Pfister, Christian Theobalt

* Accepted version of paper published at CVPR 2015, http://dx.doi.org/10.1109/CVPR.2015.7299186 

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