| 2026 | AAAI | Client-level Active Error Correction in Distributed Learning. | Kwang In Kim |
| 2026 | ACL | Piece of Table: A Divide-and-Conquer Approach for Selecting Subtables in Table Question Answering. | Wonjin Lee, Kyumin Kim, Sungjae Lee, Jihun Lee, Kwang In Kim |
| 2025 | AAAI | Diffusion-Based Active Learning for Distributed Client Manifolds. | Kwang In Kim |
| 2025 | CVPR | PoseBH: Prototypical Multi-Dataset Training Beyond Human Pose Estimation. | Uyoung Jeong, Jonathan Freer, Seungryul Baek, Hyung Jin Chang, Kwang In Kim |
| 2024 | AAAI | Active Learning Guided by Efficient Surrogate Learners. | Yunpyo An, Suyeong Park, Kwang In Kim |
| 2024 | AAAI | Robust Distributed Gradient Aggregation Using Projections onto Gradient Manifolds. | Kwang In Kim |
| 2024 | CVPR | In Search of a Data Transformation that Accelerates Neural Field Training. | Junwon Seo, Sangyoon Lee, Kwang In Kim, Jaeho Lee |
| 2024 | ECCV | Distributed Active Client Selection With Noisy Clients Using Model Association Scores. | Kwang In Kim |
| 2024 | WACV | RGBT-Dog: A Parametric Model and Pose Prior For Canine Body Analysis Data Creation. | Jake Deane, Sinead Kearney, Kwang In Kim, Darren Cosker |
| 2023 | BMVC | BoIR: Box-Supervised Instance Representation for Multi-Person Pose Estimation. | Uyoung Jeong, Seungryul Baek, Hyung Jin Chang, Kwang In Kim |
| 2022 | CVPR | Robust Combination of Distributed Gradients Under Adversarial Perturbations. | Kwang In Kim |
| 2022 | CVPR | Collaborative Learning for Hand and Object Reconstruction with Attention-guided Graph Convolution. | Tze Ho Elden Tse, Kwang In Kim, Ales Leonardis, Hyung Jin Chang |
| 2022 | ECCV | Active Label Correction Using Robust Parameter Update and Entropy Propagation. | Kwang In Kim |
| 2022 | ECCV | S | Tze Ho Elden Tse, Zhongqun Zhang, Kwang In Kim, Ales Leonardis, Feng Zheng, Hyung Jin Chang |
| 2021 | BMVC | GaussiGAN: Controllable Image Synthesis with 3D Gaussians from Unposed Silhouettes. | Youssef Alami Mejjati, Isa Milefchik, Aaron Gokaslan, Oliver Wang, Kwang In Kim, James Tompkin |
| 2021 | CVPR | Task-Aware Variational Adversarial Active Learning. | Kwanyoung Kim, Dongwon Park, Kwang In Kim, Se Young Chun |
| 2021 | ICCV | End-to-End Detection and Pose Estimation of Two Interacting Hands. | Donguk Kim, Kwang In Kim, Seungryul Baek |
| 2021 | ICCV | Testing using Privileged Information by Adapting Features with Statistical Dependence. | Kwang In Kim, James Tompkin |
| 2021 | ICML | Improving Predictors via Combination Across Diverse Task Categories. | Kwang In Kim |
| 2020 | CVPR | Weakly-Supervised Domain Adaptation via GAN and Mesh Model for Estimating 3D Hand Poses Interacting Objects. | Seungryul Baek, Kwang In Kim, Tae-Kyun Kim |
| 2020 | CVPR | RGBD-Dog: Predicting Canine Pose from RGBD Sensors. | Sinead Kearney, Wenbin Li, Martin Parsons, Kwang In Kim, Darren Cosker |
| 2020 | ECCV | Combining Task Predictors via Enhancing Joint Predictability. | Kwang In Kim, Christian Richardt, Hyung Jin Chang |
| 2020 | ECCV | Look Here! A Parametric Learning Based Approach to Redirect Visual Attention. | Youssef A. Mejjati, Celso F. Gomez, Kwang In Kim, Eli Shechtman, Zoya Bylinskii |
| 2019 | CVPR | Pushing the Envelope for RGB-Based Dense 3D Hand Pose Estimation via Neural Rendering. | Seungryul Baek, Kwang In Kim, Tae-Kyun Kim |
| 2019 | CVPR | Joint Manifold Diffusion for Combining Predictions on Decoupled Observations. | Kwang In Kim, Hyung Jin Chang |
| 2019 | CVPR | On Implicit Filter Level Sparsity in Convolutional Neural Networks. | Dushyant Mehta, Kwang In Kim, Christian Theobalt |
| 2018 | BMVC | Ranking CGANs: Subjective Control over Semantic Image Attributes. | Yassir Saquil, Kwang In Kim, Peter M. Hall |
| 2018 | BMVC | Multi-Task Deep Networks for Depth-Based 6D Object Pose and Joint Registration in Crowd Scenarios. | Juil Sock, Kwang In Kim, Caner Sahin, Tae-Kyun Kim |
| 2018 | CVPR | Augmented Skeleton Space Transfer for Depth-Based Hand Pose Estimation. | Seungryul Baek, Kwang In Kim, Tae-Kyun Kim |
| 2018 | CVPR | High-Order Tensor Regularization With Application to Attribute Ranking. | Kwang In Kim, Juhyun Park, James Tompkin |
| 2018 | CVPR | Multi-Task Learning by Maximizing Statistical Dependence. | Youssef A. Mejjati, Darren Cosker, Kwang In Kim |
| 2018 | ECCV | Improving Shape Deformation in Unsupervised Image-to-Image Translation. | Aaron Gokaslan, Vivek Ramanujan, Daniel Ritchie, Kwang In Kim, James Tompkin |
| 2017 | BMVC | Criteria Sliders: Learning Continuous Database Criteria via Interactive Ranking. | James Tompkin, Kwang In Kim, Hanspeter Pfister, Christian Theobalt |
| 2017 | ICCV | Predictor Combination at Test Time. | Kwang In Kim, James Tompkin, Christian Richardt |
| 2017 | NDSS | Cracking Android Pattern Lock in Five Attempts. | Guixin Ye, Zhanyong Tang, Dingyi Fang, Xiaojiang Chen, Kwang In Kim, Ben Taylor, Zheng Wang |
| 2017 | WACV | Real-Time Online Action Detection Forests Using Spatio-Temporal Contexts. | Seungryul Baek, Kwang In Kim, Tae-Kyun Kim |
| 2016 | ECCV | Semi-supervised Learning Based on Joint Diffusion of Graph Functions and Laplacians. | Kwang In Kim |
| 2015 | CVPR | Semi-supervised learning with explicit relationship regularization. | Kwang In Kim, James Tompkin, Hanspeter Pfister, Christian Theobalt |
| 2015 | CVPR | Local high-order regularization on data manifolds. | Kwang In Kim, James Tompkin, Hanspeter Pfister, Christian Theobalt |
| 2015 | ICCV | Context-Guided Diffusion for Label Propagation on Graphs. | Kwang In Kim, James Tompkin, Hanspeter Pfister, Christian Theobalt |
| 2013 | ICCV | Curvature-Aware Regularization on Riemannian Submanifolds. | Kwang In Kim, James Tompkin, Christian Theobalt |
| 2012 | BMVC | Efficient Learning-based Image Enhancement: Application to Super-resolution and Compression Artifact Removal. | Younghee Kwon, Kwang In Kim, Jin Kim, Christian Theobalt |
| 2012 | CVPR | Spatio-temporal motion tracking with unsynchronized cameras. | Ahmed Elhayek, Carsten Stoll, Nils Hasler, Kwang In Kim, Hans-Peter Seidel, Christian Theobalt |
| 2012 | ECCV | Background Inpainting for Videos with Dynamic Objects and a Free-Moving Camera. | Miguel Granados, Kwang In Kim, James Tompkin, Jan Kautz, Christian Theobalt |
| 2012 | ECCV | Match Graph Construction for Large Image Databases. | Kwang In Kim, James Tompkin, Martin Theobald, Jan Kautz, Christian Theobalt |
| 2008 | ICML | Sparse multiscale gaussian process regression. | Christian Walder, Kwang In Kim, Bernhard Schlkopf |
| 2002 | ICPR | Text Scanner with Text Detection Technology on Image Sequences. | Keechul Jung, Kwang In Kim, JungHyun Han |