Kwang In Kim

发表

Background Inpainting for Videos with Dynamic Objects and a Free-Moving Camera

Jan Kautz, Miguel Granados, Kwang In Kim, 2012, ECCV.

Sparse multiscale gaussian process regression

Bernhard Schölkopf, Kwang In Kim, Christian Walder, 2008, ICML '08.

Learning to remove JPEG artifacts

Kwang In Kim, Younghee Kwon, Dongho Kim, 2005 .

Example-based learning for image super-resolution

Kwang In Kim, Dongho Kim, Jin H. Kim, 2004 .

Weakly-Supervised Domain Adaptation via GAN and Mesh Model for Estimating 3D Hand Poses Interacting Objects

Tae-Kyun Kim, Kwang In Kim, Seungryul Baek, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Vega Vision:a vision system for recognizing license plates

Hang Joon Kim, Kwang In Kim, Keechul Jung, 1999 .

High-Order Tensor Regularization with Application to Attribute Ranking

Kwang In Kim, James Tompkin, Juhyun Park, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Deep Convolutional Decision Jungle for Image Classification pdf

Tae-Kyun Kim, Kwang In Kim, Seungryul Baek, 2017, ArXiv.

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

Kwang In Kim, Eli Shechtman, Zoya Bylinskii, 2020, ECCV.

Predictor Combination at Test Time

Kwang In Kim, James Tompkin, Christian Richardt, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

NoRM: No‐Reference Image Quality Metric for Realistic Image Synthesis

Hans-Peter Seidel, Karol Myszkowski, Tunç Ozan Aydin, 2012, Comput. Graph. Forum.

Text extraction in real scene images on planar planes

JungHyun Han, Kwang In Kim, Keechul Jung, 2002, Object recognition supported by user interaction for service robots.

Match Graph Construction for Large Image Databases

Jan Kautz, Kwang In Kim, James Tompkin, 2012, ECCV.

Support Vector Machines for Texture Classification

Hang Joon Kim, Kwang In Kim, Keechul Jung, 2002, IEEE Trans. Pattern Anal. Mach. Intell..

Automatic noise modeling for ghost-free HDR reconstruction

Miguel Granados, Kwang In Kim, James Tompkin, 2013, ACM Trans. Graph..

Improving Shape Deformation in Unsupervised Image-to-Image Translation pdf

Kwang In Kim, James Tompkin, Daniel Ritchie, 2018, ECCV.

Task-Aware Variational Adversarial Active Learning pdf

Kwang In Kim, Se Young Chun, Dongwon Park, 2020, ArXiv.

Single-Image Super-Resolution Using Sparse Regression and Natural Image Prior

Kwang In Kim, Younghee Kwon, K. Kim, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Example-Based Learning for Single-Image Super-Resolution

Kwang In Kim, Younghee Kwon, K. Kim, 2008, DAGM-Symposium.

RGBD-Dog: Predicting Canine Pose from RGBD Sensors

Kwang In Kim, Darren Cosker, Wenbin Li, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Unsupervised Attention-guided Image to Image Translation

Kwang In Kim, James Tompkin, Christian Richardt, 2018, NeurIPS.

Generating Object Stamps pdf

Kwang In Kim, James Tompkin, Youssef Alami Mejjati, 2020, ArXiv.

On Implicit Filter Level Sparsity in Convolutional Neural Networks

Kwang In Kim, Christian Theobalt, Dushyant Mehta, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Combining Task Predictors via Enhancing Joint Predictability

Hyung Jin Chang, Kwang In Kim, Christian Richardt, 2020, ECCV.

Semi-supervised Learning Based on Joint Diffusion of Graph Functions and Laplacians

Kwang In Kim, K. Kim, 2016, ECCV.

Curvature-Aware Regularization on Riemannian Submanifolds

Kwang In Kim, James Tompkin, Christian Theobalt, 2013, 2013 IEEE International Conference on Computer Vision.

Real-time application of face pose discrimination system using support vector machines

JungHyun Han, Kwang In Kim, Keechul Jung, 2001 .

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

Tae-Kyun Kim, Kwang In Kim, Seungryul Baek, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Ranking CGANs: Subjective Control over Semantic Image Attributes

Kwang In Kim, Peter M. Hall, Yassir Saquil, 2018, BMVC.

Interactive motion mapping for real‐time character control

Hans-Peter Seidel, Kwang In Kim, James Tompkin, 2014, Comput. Graph. Forum.

Automatic 3D face reconstruction from single images or video

Bernhard Schölkopf, Kwang In Kim, Wolf Kienzle, 2008, 2008 8th IEEE International Conference on Automatic Face & Gesture Recognition.

Context-Guided Diffusion for Label Propagation on Graphs

Hanspeter Pfister, Kwang In Kim, James Tompkin, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Augmented Skeleton Space Transfer for Depth-Based Hand Pose Estimation

Tae-Kyun Kim, Kwang In Kim, Seungryul Baek, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Joint Manifold Diffusion for Combining Predictions on Decoupled Observations

Hyung Jin Chang, Kwang In Kim, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Outdoor Human Motion Capture by Simultaneous Optimization of Pose and Camera Parameters

Kwang In Kim, Christian Theobalt, Carsten Stoll, 2015, Comput. Graph. Forum.

Face Recognition using Support Vector Machines with Local Correlation Kernels

Jin Hyung Kim, Kwang In Kim, Keechul Jung, 2002, Int. J. Pattern Recognit. Artif. Intell..

Emergence of Implicit Filter Sparsity in Convolutional Neural Networks

Kwang In Kim, Christian Theobalt, Dushyant Mehta, 2019 .

Neural network-based OCR for video indexing

Hang Joon Kim, Kwang In Kim, Keechul Jung, 2000 .

Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction

Florian Steinke, Matthias Hein, Kwang In Kim, 2009, NIPS.

How Not to Be Seen — Object Removal from Videos of Crowded Scenes

Oliver Grau, Jan Kautz, Miguel Granados, 2012, Comput. Graph. Forum.

Efficient Learning-based Image Enhancement : Application to Compression Artifact Removal and Super-resolution

Jin Hyung Kim, Kwang In Kim, Christian Theobalt, 2011 .

Implicit Filter Sparsification In Convolutional Neural Networks pdf

Kwang In Kim, Christian Theobalt, Dushyant Mehta, 2019, ArXiv.

Text scanner with text detection technology on image sequences

JungHyun Han, Kwang In Kim, Keechul Jung, 2002, Object recognition supported by user interaction for service robots.

Learning-based approach for license plate recognition

Kwang In Kim, K. K. Kim, J. B. Kim, 2000, Neural Networks for Signal Processing X. Proceedings of the 2000 IEEE Signal Processing Society Workshop (Cat. No.00TH8501).

Locating car license plates using neural networks

Hang Joon Kim, Kwang In Kim, Keechul Jung, 1999 .

Generalizing wave gestures from sparse examples for real-time character control

Hans-Peter Seidel, Edilson de Aguiar, Hanspeter Pfister, 2015, ACM Trans. Graph..

Semi-supervised learning with explicit relationship regularization

Hanspeter Pfister, Kwang In Kim, James Tompkin, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Support vector machines for text location in news video images

JungHyun Han, Kwang In Kim, Se Hyun Park, 2000, 2000 TENCON Proceedings. Intelligent Systems and Technologies for the New Millennium (Cat. No.00CH37119).

Local high-order regularization on data manifolds

Hanspeter Pfister, Kwang In Kim, James Tompkin, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Iterative kernel principal component analysis for image modeling

Bernhard Schölkopf, Kwang In Kim, Matthias O. Franz, 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Cracking Android Pattern Lock in Five Attempts

Xiaojiang Chen, Kwang In Kim, Dingyi Fang, 2017, NDSS.

Ranking Generative Adversarial Networks: Subjective Control over Semantic Image Attributes pdf

Kwang In Kim, Peter M. Hall, Yassir Saquil, 2018, ArXiv.

Fast color texture-based object detection in images:application to license plate localization

Kwang In Kim, Keechul Jung, Jin H. Kim, 2005 .

Denoising Strategies for Time-of-Flight Data

Rahul Nair, Kwang In Kim, Christian Theobalt, 2013, Time-of-Flight and Depth Imaging.

Criteria Sliders: Learning Continuous Database Criteria via Interactive Ranking pdf

Hanspeter Pfister, Kwang In Kim, James Tompkin, 2017, BMVC.

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

Tae-Kyun Kim, Kwang In Kim, Juil Sock, 2018, BMVC.

Kernel Hebbian Algorithm for single-frame super-resolution

Bernhard Schölkopf, Kwang In Kim, Matthias O. Franz, 1998 .

Feature-Based Multi-video Synchronization with Subframe Accuracy

Hans-Peter Seidel, Kwang In Kim, Christian Theobalt, 2012, DAGM/OAGM Symposium.

Support vector machine-based text detection in digital video

Hang Joon Kim, Kwang In Kim, Keechul Jung, 2000, Neural Networks for Signal Processing X. Proceedings of the 2000 IEEE Signal Processing Society Workshop (Cat. No.00TH8501).

Efficient Learning of Image Super-Resolution and Compression Artifact Removal with Semi-Local Gaussian Processes

Jin Hyung Kim, Kwang In Kim, James Tompkin, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Spatio-temporal motion tracking with unsynchronized cameras

Hans-Peter Seidel, Kwang In Kim, Christian Theobalt, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Color Texture-Based Object Detection: An Application to License Plate Localization

Jin Hyung Kim, Kwang In Kim, Keechul Jung, 2002, SVM.

Efficient Text Localization using MLP-based Texture Classification

JungHyun Han, Kwang In Kim, Keechul Jung, 2002 .

Texture-Based Approach for Text Detection in Images Using Support Vector Machines and Continuously Adaptive Mean Shift Algorithm

Jin Hyung Kim, Kwang In Kim, Keechul Jung, 2003, IEEE Trans. Pattern Anal. Mach. Intell..

Videoscapes: exploring sparse, unstructured video collections

Jan Kautz, Kwang In Kim, James Tompkin, 2012, ACM Trans. Graph..