Kwang In Kim

105 papers A* 29A 8B 1Journal 52Unranked 15
YearRankTypeTitle / Venue / Authors
2026 A* conf
Client-level Active Error Correction in Distributed Learning.
AAAI
Kwang In Kim
2026 J jnl
Physically Guided Visual Mass Estimation from a Single RGB Image.
CoRR
Sungjae Lee, Junhan Jeong, Yeonjoo Hong, Kwang In Kim
2025 A* conf
Diffusion-Based Active Learning for Distributed Client Manifolds.
AAAI
Kwang In Kim
2025 J jnl
GraspCorrect: Robotic Grasp Correction via Vision-Language Model-Guided Feedback.
CoRR
Sungjae Lee, Yeonjoo Hong, Kwang In Kim
2025 A* conf
PoseBH: Prototypical Multi-Dataset Training Beyond Human Pose Estimation.
CVPR
Uyoung Jeong, Jonathan Freer, Seungryul Baek, Hyung Jin Chang, Kwang In Kim
2025 J jnl
PoseBH: Prototypical Multi-Dataset Training Beyond Human Pose Estimation.
CoRR
Uyoung Jeong, Jonathan Freer, Seungryul Baek, Hyung Jin Chang, Kwang In Kim
2025 J jnl
Subspace-based Approximate Hessian Method for Zeroth-Order Optimization.
CoRR
Dongyoon Kim, Sungjae Lee, Wonjin Lee, Kwang In Kim
2024 A* conf
Active Learning Guided by Efficient Surrogate Learners.
AAAI
Yunpyo An, Suyeong Park, Kwang In Kim
2024 — conf
Distributed Active Client Selection With Noisy Clients Using Model Association Scores.
ECCV (60)
Kwang In Kim
2024 A* conf
In Search of a Data Transformation that Accelerates Neural Field Training.
CVPR
Junwon Seo, Sangyoon Lee, Kwang In Kim, Jaeho Lee
2024 J jnl
Piece of Table: A Divide-and-Conquer Approach for Selecting Sub-Tables in Table Question Answering.
CoRR
Wonjin Lee, Kyumin Kim, Sungjae Lee, Jihun Lee, Kwang In Kim
2024 J jnl
REP: Resource-Efficient Prompting for On-device Continual Learning.
CoRR
Sungho Jeon, Xinyue Ma, Kwang In Kim, Myeongjae Jeon
2024 A conf
RGBT-Dog: A Parametric Model and Pose Prior For Canine Body Analysis Data Creation.
WACV
Jake Deane, Sinead Kearney, Kwang In Kim, Darren Cosker
2024 A* conf
Robust Distributed Gradient Aggregation Using Projections onto Gradient Manifolds.
AAAI
Kwang In Kim
2023 J jnl
Active Deep Learning Guided by Efficient Gaussian Process Surrogates.
CoRR
Yunpyo An, Suyeong Park, Kwang In Kim
2023 A conf
BoIR: Box-Supervised Instance Representation for Multi-Person Pose Estimation.
BMVC
Uyoung Jeong, Seungryul Baek, Hyung Jin Chang, Kwang In Kim
2023 J jnl
BoIR: Box-Supervised Instance Representation for Multi-Person Pose Estimation.
CoRR
Uyoung Jeong, Seungryul Baek, Hyung Jin Chang, Kwang In Kim
2023 J jnl
In Search of a Data Transformation That Accelerates Neural Field Training.
CoRR
Junwon Seo, Sangyoon Lee, Kwang In Kim, Jaeho Lee
2022 — conf
Active Label Correction Using Robust Parameter Update and Entropy Propagation.
ECCV (21)
Kwang In Kim
2022 A* conf
Collaborative Learning for Hand and Object Reconstruction with Attention-guided Graph Convolution.
CVPR
Tze Ho Elden Tse, Kwang In Kim, Ales Leonardis, Hyung Jin Chang
2022 J jnl
Collaborative Learning for Hand and Object Reconstruction with Attention-guided Graph Convolution.
CoRR
Tze Ho Elden Tse, Kwang In Kim, Ales Leonardis, Hyung Jin Chang
2022 A* conf
Robust Combination of Distributed Gradients Under Adversarial Perturbations.
CVPR
Kwang In Kim
2022 — conf
S
ECCV (1)
Tze Ho Elden Tse, Zhongqun Zhang, Kwang In Kim, Ales Leonardis, Feng Zheng, Hyung Jin Chang
2022 J jnl
S
CoRR
Tze Ho Elden Tse, Zhongqun Zhang, Kwang In Kim, Ales Leonardis, Feng Zheng, Hyung Jin Chang
2021 J jnl
DynaDog+T: A Parametric Animal Model for Synthetic Canine Image Generation.
CoRR
Jake Deane, Sinead Kearney, Kwang In Kim, Darren Cosker
2021 A* conf
End-to-End Detection and Pose Estimation of Two Interacting Hands.
ICCV
Donguk Kim, Kwang In Kim, Seungryul Baek
2021 A conf
GaussiGAN: Controllable Image Synthesis with 3D Gaussians from Unposed Silhouettes.
BMVC
Youssef Alami Mejjati, Isa Milefchik, Aaron Gokaslan, Oliver Wang, Kwang In Kim, James Tompkin
2021 J jnl
GaussiGAN: Controllable Image Synthesis with 3D Gaussians from Unposed Silhouettes.
CoRR
Youssef A. Mejjati, Isa Milefchik, Aaron Gokaslan, Oliver Wang, Kwang In Kim, James Tompkin
2021 A* conf
Improving Predictors via Combination Across Diverse Task Categories.
ICML
Kwang In Kim
2021 A* conf
Task-Aware Variational Adversarial Active Learning.
CVPR
Kwanyoung Kim, Dongwon Park, Kwang In Kim, Se Young Chun
2021 A* conf
Testing using Privileged Information by Adapting Features with Statistical Dependence.
ICCV
Kwang In Kim, James Tompkin
2021 J jnl
Testing using Privileged Information by Adapting Features with Statistical Dependence.
CoRR
Kwang In Kim, James Tompkin
2020 — conf
Combining Task Predictors via Enhancing Joint Predictability.
ECCV (16)
Kwang In Kim, Christian Richardt, Hyung Jin Chang
2020 J jnl
Combining Task Predictors via Enhancing Joint Predictability.
CoRR
Kwang In Kim, Christian Richardt, Hyung Jin Chang
2020 J jnl
Generating Object Stamps.
CoRR
Youssef Alami Mejjati, Zejiang Shen, Michael Snower, Aaron Gokaslan, Oliver Wang, James Tompkin, Kwang In Kim
2020 — conf
Look Here! A Parametric Learning Based Approach to Redirect Visual Attention.
ECCV (23)
Youssef A. Mejjati, Celso F. Gomez, Kwang In Kim, Eli Shechtman, Zoya Bylinskii
2020 J jnl
Look here! A parametric learning based approach to redirect visual attention.
CoRR
Youssef Alami Mejjati, Celso F. Gomez, Kwang In Kim, Eli Shechtman, Zoya Bylinskii
2020 A* conf
RGBD-Dog: Predicting Canine Pose from RGBD Sensors.
CVPR
Sinead Kearney, Wenbin Li, Martin Parsons, Kwang In Kim, Darren Cosker
2020 J jnl
RGBD-Dog: Predicting Canine Pose from RGBD Sensors.
CoRR
Sinead Kearney, Wenbin Li, Martin Parsons, Kwang In Kim, Darren Cosker
2020 J jnl
Task-Aware Variational Adversarial Active Learning.
CoRR
Kwan-Young Kim, Dongwon Park, Kwang In Kim, Se Young Chun
2020 A* conf
Weakly-Supervised Domain Adaptation via GAN and Mesh Model for Estimating 3D Hand Poses Interacting Objects.
CVPR
Seungryul Baek, Kwang In Kim, Tae-Kyun Kim
2019 J jnl
Implicit Filter Sparsification In Convolutional Neural Networks.
CoRR
Dushyant Mehta, Kwang In Kim, Christian Theobalt
2019 A* conf
Joint Manifold Diffusion for Combining Predictions on Decoupled Observations.
CVPR
Kwang In Kim, Hyung Jin Chang
2019 J jnl
Joint Manifold Diffusion for Combining Predictions on Decoupled Observations.
CoRR
Kwang In Kim, Hyung Jin Chang
2019 A* conf
On Implicit Filter Level Sparsity in Convolutional Neural Networks.
CVPR
Dushyant Mehta, Kwang In Kim, Christian Theobalt
2019 A* conf
Pushing the Envelope for RGB-Based Dense 3D Hand Pose Estimation via Neural Rendering.
CVPR
Seungryul Baek, Kwang In Kim, Tae-Kyun Kim
2019 J jnl
Pushing the Envelope for RGB-based Dense 3D Hand Pose Estimation via Neural Rendering.
CoRR
Seungryul Baek, Kwang In Kim, Tae-Kyun Kim
2018 A* conf
Augmented Skeleton Space Transfer for Depth-Based Hand Pose Estimation.
CVPR
Seungryul Baek, Kwang In Kim, Tae-Kyun Kim
2018 J jnl
Augmented Skeleton Space Transfer for Depth-based Hand Pose Estimation.
CoRR
Seungryul Baek, Kwang In Kim, Tae-Kyun Kim
2018 A* conf
High-Order Tensor Regularization With Application to Attribute Ranking.
CVPR
Kwang In Kim, Juhyun Park, James Tompkin
2018 — conf
Improving Shape Deformation in Unsupervised Image-to-Image Translation.
ECCV (12)
Aaron Gokaslan, Vivek Ramanujan, Daniel Ritchie, Kwang In Kim, James Tompkin
2018 J jnl
Improving Shape Deformation in Unsupervised Image-to-Image Translation.
CoRR
Aaron Gokaslan, Vivek Ramanujan, Daniel Ritchie, Kwang In Kim, James Tompkin
2018 A conf
Multi-Task Deep Networks for Depth-Based 6D Object Pose and Joint Registration in Crowd Scenarios.
BMVC
Juil Sock, Kwang In Kim, Caner Sahin, Tae-Kyun Kim
2018 J jnl
Multi-Task Deep Networks for Depth-Based 6D Object Pose and Joint Registration in Crowd Scenarios.
CoRR
Juil Sock, Kwang In Kim, Caner Sahin, Tae-Kyun Kim
2018 A* conf
Multi-Task Learning by Maximizing Statistical Dependence.
CVPR
Youssef A. Mejjati, Darren Cosker, Kwang In Kim
2018 J jnl
On Implicit Filter Level Sparsity in Convolutional Neural Networks.
CoRR
Dushyant Mehta, Kwang In Kim, Christian Theobalt
2018 A conf
Ranking CGANs: Subjective Control over Semantic Image Attributes.
BMVC
Yassir Saquil, Kwang In Kim, Peter M. Hall
2018 J jnl
Ranking Generative Adversarial Networks: Subjective Control over Semantic Image Attributes.
CoRR
Yassir Saquil, Kwang In Kim, Peter M. Hall
2018 J jnl
Unsupervised Attention-guided Image to Image Translation.
CoRR
Youssef A. Mejjati, Christian Richardt, James Tompkin, Darren Cosker, Kwang In Kim
2018 A* conf
Unsupervised Attention-guided Image-to-Image Translation.
NeurIPS
Youssef Alami Mejjati, Christian Richardt, James Tompkin, Darren Cosker, Kwang In Kim
2017 A* conf
Cracking Android Pattern Lock in Five Attempts.
NDSS
Guixin Ye, Zhanyong Tang, Dingyi Fang, Xiaojiang Chen, Kwang In Kim, Ben Taylor, Zheng Wang
2017 A conf
Criteria Sliders: Learning Continuous Database Criteria via Interactive Ranking.
BMVC
James Tompkin, Kwang In Kim, Hanspeter Pfister, Christian Theobalt
2017 J jnl
Criteria Sliders: Learning Continuous Database Criteria via Interactive Ranking.
CoRR
James Tompkin, Kwang In Kim, Hanspeter Pfister, Christian Theobalt
2017 J jnl
Deep Convolutional Decision Jungle for Image Classification.
CoRR
Seungryul Baek, Kwang In Kim, Tae-Kyun Kim
2017 A* conf
Predictor Combination at Test Time.
ICCV
Kwang In Kim, James Tompkin, Christian Richardt
2017 A conf
Real-Time Online Action Detection Forests Using Spatio-Temporal Contexts.
WACV
Seungryul Baek, Kwang In Kim, Tae-Kyun Kim
2016 J jnl
Context-guided diffusion for label propagation on graphs.
CoRR
Kwang In Kim, James Tompkin, Hanspeter Pfister, Christian Theobalt
2016 J jnl
Local High-order Regularization on Data Manifolds.
CoRR
Kwang In Kim, James Tompkin, Hanspeter Pfister, Christian Theobalt
2016 J jnl
Real-time Online Action Detection Forests using Spatio-temporal Contexts.
CoRR
Seungryul Baek, Kwang In Kim, Tae-Kyun Kim
2016 — conf
Semi-supervised Learning Based on Joint Diffusion of Graph Functions and Laplacians.
ECCV (5)
Kwang In Kim
2016 J jnl
Semi-supervised Learning with Explicit Relationship Regularization.
CoRR
Kwang In Kim, James Tompkin, Hanspeter Pfister, Christian Theobalt
2015 A* conf
Context-Guided Diffusion for Label Propagation on Graphs.
ICCV
Kwang In Kim, James Tompkin, Hanspeter Pfister, Christian Theobalt
2015 J jnl
Efficient Learning of Image Super-Resolution and Compression Artifact Removal with Semi-Local Gaussian Processes.
IEEE Trans. Pattern Anal. Mach. Intell.
Younghee Kwon, Kwang In Kim, James Tompkin, Jin Hyung Kim, Christian Theobalt
2015 J jnl
Generalizing wave gestures from sparse examples for real-time character control.
ACM Trans. Graph.
Helge Rhodin, James Tompkin, Kwang In Kim, Edilson de Aguiar, Hanspeter Pfister, Hans-Peter Seidel, Christian Theobalt
2015 A* conf
Local high-order regularization on data manifolds.
CVPR
Kwang In Kim, James Tompkin, Hanspeter Pfister, Christian Theobalt
2015 J jnl
Outdoor Human Motion Capture by Simultaneous Optimization of Pose and Camera Parameters.
Comput. Graph. Forum
Ahmed Elhayek, Carsten Stoll, Kwang In Kim, Christian Theobalt
2015 A* conf
Semi-supervised learning with explicit relationship regularization.
CVPR
Kwang In Kim, James Tompkin, Hanspeter Pfister, Christian Theobalt
2014 J jnl
Interactive motion mapping for real-time character control.
Comput. Graph. Forum
Helge Rhodin, James Tompkin, Kwang In Kim, Kiran Varanasi, Hans-Peter Seidel, Christian Theobalt
2013 J jnl
Automatic noise modeling for ghost-free HDR reconstruction.
ACM Trans. Graph.
Miguel Granados, Kwang In Kim, James Tompkin, Christian Theobalt
2013 A* conf
Curvature-Aware Regularization on Riemannian Submanifolds.
ICCV
Kwang In Kim, James Tompkin, Christian Theobalt
2013 — conf
Denoising Strategies for Time-of-Flight Data.
Time-of-Flight and Depth Imaging
Frank Lenzen, Kwang In Kim, Henrik Schäfer, Rahul Nair, Stephan Meister, Florian Becker, Christoph S. Garbe, Christian Theobalt
2013 J jnl
Preference and artifact analysis for video transitions of places.
ACM Trans. Appl. Percept.
James Tompkin, Min H. Kim, Kwang In Kim, Jan Kautz, Christian Theobalt
2012 — conf
Background Inpainting for Videos with Dynamic Objects and a Free-Moving Camera.
ECCV (1)
Miguel Granados, Kwang In Kim, James Tompkin, Jan Kautz, Christian Theobalt
2012 A conf
Efficient Learning-based Image Enhancement: Application to Super-resolution and Compression Artifact Removal.
BMVC
Younghee Kwon, Kwang In Kim, Jin Kim, Christian Theobalt
2012 — conf
Feature-Based Multi-video Synchronization with Subframe Accuracy.
DAGM/OAGM Symposium
Ahmed Elhayek, Carsten Stoll, Kwang In Kim, Hans-Peter Seidel, Christian Theobalt
2012 J jnl
How Not to Be Seen - Object Removal from Videos of Crowded Scenes.
Comput. Graph. Forum
Miguel Granados, James Tompkin, Kwang In Kim, Oliver Grau, Jan Kautz, Christian Theobalt
2012 — conf
Match Graph Construction for Large Image Databases.
ECCV (1)
Kwang In Kim, James Tompkin, Martin Theobald, Jan Kautz, Christian Theobalt
2012 J jnl
NoRM: No-Reference Image Quality Metric for Realistic Image Synthesis.
Comput. Graph. Forum
Robert Herzog, Martin Cadík, Tunç Ozan Aydin, Kwang In Kim, Karol Myszkowski, Hans-Peter Seidel
2012 A* conf
Spatio-temporal motion tracking with unsynchronized cameras.
CVPR
Ahmed Elhayek, Carsten Stoll, Nils Hasler, Kwang In Kim, Hans-Peter Seidel, Christian Theobalt
2012 J jnl
Videoscapes: exploring sparse, unstructured video collections.
ACM Trans. Graph.
James Tompkin, Kwang In Kim, Jan Kautz, Christian Theobalt
2010 J jnl
Single-Image Super-Resolution Using Sparse Regression and Natural Image Prior.
IEEE Trans. Pattern Anal. Mach. Intell.
Kwang In Kim, Younghee Kwon
2009 — conf
Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction.
NIPS
Kwang In Kim, Florian Steinke, Matthias Hein
2008 B conf
Automatic 3D face reconstruction from single images or video.
FG
Pia Breuer, Kwang In Kim, Wolf Kienzle, Bernhard Schölkopf, Volker Blanz
2008 — conf
Example-Based Learning for Single-Image Super-Resolution.
DAGM-Symposium
Kwang In Kim, Younghee Kwon
2008 A* conf
Sparse multiscale gaussian process regression.
ICML
Christian Walder, Kwang In Kim, Bernhard Schölkopf
2005 J jnl
Iterative Kernel Principal Component Analysis for Image Modeling.
IEEE Trans. Pattern Anal. Mach. Intell.
Kwang In Kim, Matthias O. Franz, Bernhard Schölkopf
2004 J jnl
Text information extraction in images and video: a survey.
Pattern Recognit.
Keechul Jung, Kwang In Kim, Anil K. Jain
2003 J jnl
Texture-Based Approach for Text Detection in Images Using Support Vector Machines and Continuously Adaptive Mean Shift Algorithm.
IEEE Trans. Pattern Anal. Mach. Intell.
Kwang In Kim, Keechul Jung, Jin Hyung Kim
2002 — conf
Color Texture-Based Object Detection: An Application to License Plate Localization.
SVM
Kwang In Kim, Keechul Jung, Jin Hyung Kim
2002 J jnl
Face Recognition using Support Vector Machines with Local Correlation Kernels.
Int. J. Pattern Recognit. Artif. Intell.
Kwang In Kim, Jin Hyung Kim, Keechul Jung
2002 J jnl
Face recognition using kernel principal component analysis.
IEEE Signal Process. Lett.
Kwang In Kim, Keechul Jung, Hang Joon Kim
2002 J jnl
Support Vector Machines for Texture Classification.
IEEE Trans. Pattern Anal. Mach. Intell.
Kwang In Kim, Keechul Jung, Se Hyun Park, Hang Joon Kim
2002 — conf
Text Scanner with Text Detection Technology on Image Sequences.
ICPR (3)
Keechul Jung, Kwang In Kim, Junghyun Han
2001 J jnl
Support vector machine-based text detection in digital video.
Pattern Recognit.
Kwang In Kim, Keechul Jung, Se Hyun Park, Hang Joon Kim
1999 J jnl
Decomposition of Chinese character into strokes using mathematical morphology.
Pattern Recognit. Lett.
Jin Wook Kim, Kwang In Kim, Bong Joon Choi, Hang Joon Kim