Kwang In Kim

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 61

Top Topics

Gaussian Process

Pose Estimation

Label Propagation

Convolutional Neural Networks

Top Venues

Publications

Kwang In Kim
Robust Distributed Gradient Aggregation Using Projections onto Gradient Manifolds. AAAI (2024)
Yunpyo An, Suyeong Park, Kwang In Kim
Active Learning Guided by Efficient Surrogate Learners. AAAI (2024)
Jake Deane, Sinead Kearney, Kwang In Kim, Darren Cosker
RGBT-Dog: A Parametric Model and Pose Prior For Canine Body Analysis Data Creation. WACV (2024)
Sungho Jeon, Xinyue Ma, Kwang In Kim, Myeongjae Jeon
REP: Resource-Efficient Prompting for On-device Continual Learning. CoRR (2024)
Yunpyo An, Suyeong Park, Kwang In Kim
Active Deep Learning Guided by Efficient Gaussian Process Surrogates. CoRR (2023)
Junwon Seo, Sangyoon Lee, Kwang In Kim, Jaeho Lee
In Search of a Data Transformation That Accelerates Neural Field Training. CoRR (2023)
Uyoung Jeong, Seungryul Baek, Hyung Jin Chang, Kwang In Kim
BoIR: Box-Supervised Instance Representation for Multi-Person Pose Estimation. CoRR (2023)
Uyoung Jeong, Seungryul Baek, Hyung Jin Chang, Kwang In Kim
BoIR: Box-Supervised Instance Representation for Multi-Person Pose Estimation. BMVC (2023)
Tze Ho Elden Tse, Kwang In Kim, Ales Leonardis, Hyung Jin Chang
Collaborative Learning for Hand and Object Reconstruction with Attention-guided Graph Convolution. CoRR (2022)
Tze Ho Elden Tse, Kwang In Kim, Ales Leonardis, Hyung Jin Chang
Collaborative Learning for Hand and Object Reconstruction with Attention-guided Graph Convolution. CVPR (2022)
Kwang In Kim
Active Label Correction Using Robust Parameter Update and Entropy Propagation. ECCV (21) (2022)
Kwang In Kim
Robust Combination of Distributed Gradients Under Adversarial Perturbations. CVPR (2022)
Tze Ho Elden Tse, Zhongqun Zhang, Kwang In Kim, Ales Leonardis, Feng Zheng, Hyung Jin Chang
Contact: Graph-based Network for 3D Hand-Object Contact Estimation with Semi-Supervised Learning. CoRR (2022)
Tze Ho Elden Tse, Zhongqun Zhang, Kwang In Kim, Ales Leonardis, Feng Zheng, Hyung Jin Chang
Contact: Graph-Based Network for 3D Hand-Object Contact Estimation with Semi-supervised Learning. ECCV (1) (2022)
Kwang In Kim, James Tompkin
Testing using Privileged Information by Adapting Features with Statistical Dependence. CoRR (2021)
Donguk Kim, Kwang In Kim, Seungryul Baek
End-to-End Detection and Pose Estimation of Two Interacting Hands. ICCV (2021)
Jake Deane, Sinead Kearney, Kwang In Kim, Darren Cosker
DynaDog+T: A Parametric Animal Model for Synthetic Canine Image Generation. CoRR (2021)
Youssef Alami Mejjati, Isa Milefchik, Aaron Gokaslan, Oliver Wang, Kwang In Kim, James Tompkin
GaussiGAN: Controllable Image Synthesis with 3D Gaussians from Unposed Silhouettes. BMVC (2021)
Kwang In Kim
Improving Predictors via Combination Across Diverse Task Categories. ICML (2021)
Kwang In Kim, James Tompkin
Testing using Privileged Information by Adapting Features with Statistical Dependence. ICCV (2021)
Youssef A. Mejjati, Isa Milefchik, Aaron Gokaslan, Oliver Wang, Kwang In Kim, James Tompkin
GaussiGAN: Controllable Image Synthesis with 3D Gaussians from Unposed Silhouettes. CoRR (2021)
Kwanyoung Kim, Dongwon Park, Kwang In Kim, Se Young Chun
Task-Aware Variational Adversarial Active Learning. CVPR (2021)
Seungryul Baek, Kwang In Kim, Tae-Kyun Kim
Weakly-Supervised Domain Adaptation via GAN and Mesh Model for Estimating 3D Hand Poses Interacting Objects. CVPR (2020)
Youssef Alami Mejjati, Zejiang Shen, Michael Snower, Aaron Gokaslan, Oliver Wang, James Tompkin, Kwang In Kim
Generating Object Stamps. CoRR (2020)
Youssef A. Mejjati, Celso F. Gomez, Kwang In Kim, Eli Shechtman, Zoya Bylinskii
Look Here! A Parametric Learning Based Approach to Redirect Visual Attention. ECCV (23) (2020)
Sinead Kearney, Wenbin Li, Martin Parsons, Kwang In Kim, Darren Cosker
RGBD-Dog: Predicting Canine Pose from RGBD Sensors. CVPR (2020)
Sinead Kearney, Wenbin Li, Martin Parsons, Kwang In Kim, Darren Cosker
RGBD-Dog: Predicting Canine Pose from RGBD Sensors. CoRR (2020)
Youssef Alami Mejjati, Celso F. Gomez, Kwang In Kim, Eli Shechtman, Zoya Bylinskii
Look here! A parametric learning based approach to redirect visual attention. CoRR (2020)
Kwan-Young Kim, Dongwon Park, Kwang In Kim, Se Young Chun
Task-Aware Variational Adversarial Active Learning. CoRR (2020)
Kwang In Kim, Christian Richardt, Hyung Jin Chang
Combining Task Predictors via Enhancing Joint Predictability. ECCV (16) (2020)
Kwang In Kim, Christian Richardt, Hyung Jin Chang
Combining Task Predictors via Enhancing Joint Predictability. CoRR (2020)
Dushyant Mehta, Kwang In Kim, Christian Theobalt
Implicit Filter Sparsification In Convolutional Neural Networks. CoRR (2019)
Kwang In Kim, Hyung Jin Chang
Joint Manifold Diffusion for Combining Predictions on Decoupled Observations. CVPR (2019)
Kwang In Kim, Hyung Jin Chang
Joint Manifold Diffusion for Combining Predictions on Decoupled Observations. CoRR (2019)
Seungryul Baek, Kwang In Kim, Tae-Kyun Kim
Pushing the Envelope for RGB-Based Dense 3D Hand Pose Estimation via Neural Rendering. CVPR (2019)
Seungryul Baek, Kwang In Kim, Tae-Kyun Kim
Pushing the Envelope for RGB-based Dense 3D Hand Pose Estimation via Neural Rendering. CoRR (2019)
Dushyant Mehta, Kwang In Kim, Christian Theobalt
On Implicit Filter Level Sparsity in Convolutional Neural Networks. CVPR (2019)
Youssef Alami Mejjati, Christian Richardt, James Tompkin, Darren Cosker, Kwang In Kim
Unsupervised Attention-guided Image-to-Image Translation. NeurIPS (2018)
Juil Sock, Kwang In Kim, Caner Sahin, Tae-Kyun Kim
Multi-Task Deep Networks for Depth-Based 6D Object Pose and Joint Registration in Crowd Scenarios. BMVC (2018)
Aaron Gokaslan, Vivek Ramanujan, Daniel Ritchie, Kwang In Kim, James Tompkin
Improving Shape Deformation in Unsupervised Image-to-Image Translation. CoRR (2018)
Aaron Gokaslan, Vivek Ramanujan, Daniel Ritchie, Kwang In Kim, James Tompkin
Improving Shape Deformation in Unsupervised Image-to-Image Translation. ECCV (12) (2018)
Kwang In Kim, Juhyun Park, James Tompkin
High-Order Tensor Regularization With Application to Attribute Ranking. CVPR (2018)
Youssef A. Mejjati, Darren Cosker, Kwang In Kim
Multi-Task Learning by Maximizing Statistical Dependence. CVPR (2018)
Youssef A. Mejjati, Christian Richardt, James Tompkin, Darren Cosker, Kwang In Kim
Unsupervised Attention-guided Image to Image Translation. CoRR (2018)
Seungryul Baek, Kwang In Kim, Tae-Kyun Kim
Augmented Skeleton Space Transfer for Depth-based Hand Pose Estimation. CoRR (2018)
Yassir Saquil, Kwang In Kim, Peter M. Hall
Ranking Generative Adversarial Networks: Subjective Control over Semantic Image Attributes. CoRR (2018)
Yassir Saquil, Kwang In Kim, Peter M. Hall
Ranking CGANs: Subjective Control over Semantic Image Attributes. BMVC (2018)
Juil Sock, Kwang In Kim, Caner Sahin, Tae-Kyun Kim
Multi-Task Deep Networks for Depth-Based 6D Object Pose and Joint Registration in Crowd Scenarios. CoRR (2018)
Dushyant Mehta, Kwang In Kim, Christian Theobalt
On Implicit Filter Level Sparsity in Convolutional Neural Networks. CoRR (2018)
Seungryul Baek, Kwang In Kim, Tae-Kyun Kim
Augmented Skeleton Space Transfer for Depth-Based Hand Pose Estimation. CVPR (2018)
Seungryul Baek, Kwang In Kim, Tae-Kyun Kim
Real-Time Online Action Detection Forests Using Spatio-Temporal Contexts. WACV (2017)
Kwang In Kim, James Tompkin, Christian Richardt
Predictor Combination at Test Time. ICCV (2017)
Seungryul Baek, Kwang In Kim, Tae-Kyun Kim
Deep Convolutional Decision Jungle for Image Classification. CoRR (2017)
Guixin Ye, Zhanyong Tang, Dingyi Fang, Xiaojiang Chen, Kwang In Kim, Ben Taylor, Zheng Wang
Cracking Android Pattern Lock in Five Attempts. NDSS (2017)
James Tompkin, Kwang In Kim, Hanspeter Pfister, Christian Theobalt
Criteria Sliders: Learning Continuous Database Criteria via Interactive Ranking. CoRR (2017)
James Tompkin, Kwang In Kim, Hanspeter Pfister, Christian Theobalt
Criteria Sliders: Learning Continuous Database Criteria via Interactive Ranking. BMVC (2017)
Kwang In Kim, James Tompkin, Hanspeter Pfister, Christian Theobalt
Semi-supervised Learning with Explicit Relationship Regularization. CoRR (2016)
Kwang In Kim
Semi-supervised Learning Based on Joint Diffusion of Graph Functions and Laplacians. ECCV (5) (2016)
Kwang In Kim, James Tompkin, Hanspeter Pfister, Christian Theobalt
Local High-order Regularization on Data Manifolds. CoRR (2016)
Kwang In Kim, James Tompkin, Hanspeter Pfister, Christian Theobalt
Context-guided diffusion for label propagation on graphs. CoRR (2016)
Seungryul Baek, Kwang In Kim, Tae-Kyun Kim
Real-time Online Action Detection Forests using Spatio-temporal Contexts. CoRR (2016)
Kwang In Kim, James Tompkin, Hanspeter Pfister, Christian Theobalt
Context-Guided Diffusion for Label Propagation on Graphs. ICCV (2015)
Ahmed Elhayek, Carsten Stoll, Kwang In Kim, Christian Theobalt
Outdoor Human Motion Capture by Simultaneous Optimization of Pose and Camera Parameters. Comput. Graph. Forum 34 (6) (2015)
Kwang In Kim, James Tompkin, Hanspeter Pfister, Christian Theobalt
Semi-supervised learning with explicit relationship regularization. CVPR (2015)
Younghee Kwon, Kwang In Kim, James Tompkin, Jin Hyung Kim, Christian Theobalt
Efficient Learning of Image Super-Resolution and Compression Artifact Removal with Semi-Local Gaussian Processes. IEEE Trans. Pattern Anal. Mach. Intell. 37 (9) (2015)
Helge Rhodin, James Tompkin, Kwang In Kim, Edilson de Aguiar, Hanspeter Pfister, Hans-Peter Seidel, Christian Theobalt
Generalizing wave gestures from sparse examples for real-time character control. ACM Trans. Graph. 34 (6) (2015)
Kwang In Kim, James Tompkin, Hanspeter Pfister, Christian Theobalt
Local high-order regularization on data manifolds. CVPR (2015)
Helge Rhodin, James Tompkin, Kwang In Kim, Kiran Varanasi, Hans-Peter Seidel, Christian Theobalt
Interactive motion mapping for real-time character control. Comput. Graph. Forum 33 (2) (2014)
Frank Lenzen, Kwang In Kim, Henrik Schäfer, Rahul Nair, Stephan Meister, Florian Becker, Christoph S. Garbe, Christian Theobalt
Denoising Strategies for Time-of-Flight Data. Time-of-Flight and Depth Imaging (2013)
Miguel Granados, Kwang In Kim, James Tompkin, Christian Theobalt
Automatic noise modeling for ghost-free HDR reconstruction. ACM Trans. Graph. 32 (6) (2013)
Kwang In Kim, James Tompkin, Christian Theobalt
Curvature-Aware Regularization on Riemannian Submanifolds. ICCV (2013)
James Tompkin, Min H. Kim, Kwang In Kim, Jan Kautz, Christian Theobalt
Preference and artifact analysis for video transitions of places. ACM Trans. Appl. Percept. 10 (3) (2013)
Miguel Granados, James Tompkin, Kwang In Kim, Oliver Grau, Jan Kautz, Christian Theobalt
How Not to Be Seen - Object Removal from Videos of Crowded Scenes. Comput. Graph. Forum 31 (2pt1) (2012)
Miguel Granados, Kwang In Kim, James Tompkin, Jan Kautz, Christian Theobalt
Background Inpainting for Videos with Dynamic Objects and a Free-Moving Camera. ECCV (1) (2012)
Ahmed Elhayek, Carsten Stoll, Nils Hasler, Kwang In Kim, Hans-Peter Seidel, Christian Theobalt
Spatio-temporal motion tracking with unsynchronized cameras. CVPR (2012)
Robert Herzog, Martin Cadík, Tunç Ozan Aydin, Kwang In Kim, Karol Myszkowski, Hans-Peter Seidel
NoRM: No-Reference Image Quality Metric for Realistic Image Synthesis. Comput. Graph. Forum 31 (2pt3) (2012)
Younghee Kwon, Kwang In Kim, Jin Kim, Christian Theobalt
Efficient Learning-based Image Enhancement: Application to Super-resolution and Compression Artifact Removal. BMVC (2012)
Ahmed Elhayek, Carsten Stoll, Kwang In Kim, Hans-Peter Seidel, Christian Theobalt
Feature-Based Multi-video Synchronization with Subframe Accuracy. DAGM/OAGM Symposium (2012)
James Tompkin, Kwang In Kim, Jan Kautz, Christian Theobalt
Videoscapes: exploring sparse, unstructured video collections. ACM Trans. Graph. 31 (4) (2012)
Kwang In Kim, James Tompkin, Martin Theobald, Jan Kautz, Christian Theobalt
Match Graph Construction for Large Image Databases. ECCV (1) (2012)
Kwang In Kim, Younghee Kwon
Single-Image Super-Resolution Using Sparse Regression and Natural Image Prior. IEEE Trans. Pattern Anal. Mach. Intell. 32 (6) (2010)
Kwang In Kim, Florian Steinke, Matthias Hein
Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction. NIPS (2009)
Kwang In Kim, Younghee Kwon
Example-Based Learning for Single-Image Super-Resolution. DAGM-Symposium (2008)
Christian Walder, Kwang In Kim, Bernhard Schölkopf
Sparse multiscale gaussian process regression. ICML (2008)
Pia Breuer, Kwang In Kim, Wolf Kienzle, Bernhard Schölkopf, Volker Blanz
Automatic 3D face reconstruction from single images or video. FG (2008)
Kwang In Kim, Matthias O. Franz, Bernhard Schölkopf
Iterative Kernel Principal Component Analysis for Image Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 27 (9) (2005)
Keechul Jung, Kwang In Kim, Anil K. Jain
Text information extraction in images and video: a survey. Pattern Recognit. 37 (5) (2004)
Kwang In Kim, Keechul Jung, Jin Hyung Kim
Texture-Based Approach for Text Detection in Images Using Support Vector Machines and Continuously Adaptive Mean Shift Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. 25 (12) (2003)
Kwang In Kim, Keechul Jung, Jin Hyung Kim
Color Texture-Based Object Detection: An Application to License Plate Localization. SVM (2002)
Keechul Jung, Kwang In Kim, JungHyun Han
Text Scanner with Text Detection Technology on Image Sequences. ICPR (3) (2002)
Kwang In Kim, Keechul Jung, Se Hyun Park, Hang Joon Kim
Support Vector Machines for Texture Classification. IEEE Trans. Pattern Anal. Mach. Intell. 24 (11) (2002)
Kwang In Kim, Keechul Jung, Hang Joon Kim
Face recognition using kernel principal component analysis. IEEE Signal Process. Lett. 9 (2) (2002)
Kwang In Kim, Jin Hyung Kim, Keechul Jung
Face Recognition using Support Vector Machines with Local Correlation Kernels. Int. J. Pattern Recognit. Artif. Intell. 16 (1) (2002)
Kwang In Kim, Keechul Jung, Se Hyun Park, Hang Joon Kim
Support vector machine-based text detection in digital video. Pattern Recognit. 34 (2) (2001)
Jin Wook Kim, Kwang In Kim, Bong Joon Choi, Hang Joon Kim
Decomposition of Chinese character into strokes using mathematical morphology. Pattern Recognit. Lett. 20 (3) (1999)