Kim, Kwang In

31 publications

AAAI 2025 Diffusion-Based Active Learning for Distributed Client Manifolds Kwang In Kim

CVPR 2025 PoseBH: Prototypical Multi-Dataset Training Beyond Human Pose Estimation Uyoung Jeong, Jonathan Freer, Seungryul Baek, Hyung Jin Chang, Kwang In Kim

NeurIPS 2025 REP: Resource-Efficient Prompting for Rehearsal-Free Continual Learning Sungho Jeon, Xinyue Ma, Kwang In Kim, Myeongjae Jeon

AAAI 2024 Active Learning Guided by Efficient Surrogate Learners Yunpyo An, Suyeong Park, Kwang In Kim

ECCV 2024 Distributed Active Client Selection with Noisy Clients Using Model Association Scores Kwang In Kim

CVPR 2024 In Search of a Data Transformation That Accelerates Neural Field Training Junwon Seo, Sangyoon Lee, Kwang In Kim, Jaeho Lee

WACV 2024 RGBT-Dog: A Parametric Model and Pose Prior for Canine Body Analysis Data Creation Jake Deane, Sinéad Kearney, Kwang In Kim, Darren Cosker

AAAI 2024 Robust Distributed Gradient Aggregation Using Projections onto Gradient Manifolds Kwang In Kim

ECCV 2022 Active Label Correction Using Robust Parameter Update and Entropy Propagation Kwang In Kim

CVPR 2022 Collaborative Learning for Hand and Object Reconstruction with Attention-Guided Graph Convolution Tze Ho Elden Tse, Kwang In Kim, Ales̆ Leonardis, Hyung Jin Chang

CVPR 2022 Robust Combination of Distributed Gradients Under Adversarial Perturbations Kwang In Kim

ECCV 2022 S2Contact: Graph-Based Network for 3D Hand-Object Contact Estimation with Semi-Supervised Learning Tze Ho Elden Tse, Zhongqun Zhang, Kwang In Kim, Aleš Leonardis, Feng Zheng, Hyung Jin Chang

ICCV 2021 End-to-End Detection and Pose Estimation of Two Interacting Hands Dong Uk Kim, Kwang In Kim, Seungryul Baek

ICML 2021 Improving Predictors via Combination Across Diverse Task Categories Kwang In Kim

CVPR 2021 Task-Aware Variational Adversarial Active Learning Kwanyoung Kim, Dongwon Park, Kwang In Kim, Se Young Chun

ICCV 2021 Testing Using Privileged Information by Adapting Features with Statistical Dependence Kwang In Kim, James Tompkin

ECCV 2020 Combining Task Predictors via Enhancing Joint Predictability Kwang In Kim, Christian Richardt, Hyung Jin Chang

ECCV 2020 Look Here! a Parametric Learning Based Approach to Redirect Visual Attention Youssef A. Mejjati, Celso F. Gomez, Kwang In Kim, Eli Shechtman, Zoya Bylinskii

ICMLW 2019 Emergence of Implicit Filter Sparsity in Convolutional Neural Networks Dushyant Mehta, Kwang In Kim, Christian Theobalt

NeurIPS 2018 Unsupervised Attention-Guided Image-to-Image Translation Youssef Alami Mejjati, Christian Richardt, James Tompkin, Darren Cosker, Kwang In Kim

ICCV 2017 Predictor Combination at Test Time Kwang In Kim, James Tompkin, Christian Richardt

WACV 2017 Real-Time Online Action Detection Forests Using Spatio-Temporal Contexts Seungryul Baek, Kwang In Kim, Tae-Kyun Kim

ECCV 2016 Semi-Supervised Learning Based on Joint Diffusion of Graph Functions and Laplacians Kwang In Kim

ICCV 2015 Context-Guided Diffusion for Label Propagation on Graphs Kwang In Kim, James Tompkin, Hanspeter Pfister, Christian Theobalt

CVPR 2015 Local High-Order Regularization on Data Manifolds Kwang In Kim, James Tompkin, Hanspeter Pfister, Christian Theobalt

CVPR 2015 Semi-Supervised Learning with Explicit Relationship Regularization Kwang In Kim, James Tompkin, Hanspeter Pfister, Christian Theobalt

ICCV 2013 Curvature-Aware Regularization on Riemannian Submanifolds Kwang In Kim, James Tompkin, Christian Theobalt

ECCV 2012 Background Inpainting for Videos with Dynamic Objects and a Free-Moving Camera Miguel Granados, Kwang In Kim, James Tompkin, Jan Kautz, Christian Theobalt

ECCV 2012 Match Graph Construction for Large Image Databases Kwang In Kim, James Tompkin, Martin Theobald, Jan Kautz, Christian Theobalt

CVPR 2012 Spatio-Temporal Motion Tracking with Unsynchronized Cameras Ahmed Elhayek, Carsten Stoll, Nils Hasler, Kwang In Kim, Hans-Peter Seidel, Christian Theobalt

ICML 2008 Sparse Multiscale Gaussian Process Regression Christian Walder, Kwang In Kim, Bernhard Schölkopf