Kwang In Kim

34 papers · 2013–2026 · 8 conferences · across top CS/AI conferences

Achievements

+11 more ↓

🐝 Cross-Pollinator (12) 🧭 Keyword Pioneer 🏃 Academic Marathon (12) 🌍 Conference Polyglot (7) 🌈 Renaissance Researcher (6)

🌈 Renaissance Researcher (6) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (66) 🐺 Lone Wolf (6) 🏆 Keyword Champion (2) 💎 Century Club (32) ⚡ Prolific Year (5) 📈 Trend Setter 🔥 Unstoppable (6) 🗃️ Keyword Collector (145) 🚀 Conference Pioneer

Conferences

CVPR (15) ECCV (6) ICCV (5) AAAI (4) ACL (1) ICML (1) NIPS (1) WACV (1)

Top co-authors

James Tompkin (9) Hyung Jin Chang (5) Christian Theobalt (5) Seungryul Baek (5) Darren Cosker (4) Christian Richardt (3) Tae-kyun Kim (3) Hanspeter Pfister (3) Sinead Kearney (2) Ales Leonardis (2)

Keywords

manifold learning (5) semi-supervised learning (4) distributed learning (4) hand pose estimation (4) active learning (4) 3d pose estimation (3) riemannian manifold (3) graph laplacian (3) domain adaptation (3) gaussian process (3) multi-task learning (2) adversarial learning (2) dimensionality reduction (2) statistical dependence (2) diffusion process (2) gradient aggregation (2) attention mechanism (2) federated learning (2) motion capture (2) convolutional neural network (2)

Papers

Piece of Table: A Divide-and-Conquer Approach for Selecting Subtables in Table Question Answering ACL 2026 Client-level Active Error Correction in Distributed Learning AAAI 2026 PoseBH: Prototypical Multi-Dataset Training Beyond Human Pose Estimation CVPR 2025 Diffusion-Based Active Learning for Distributed Client Manifolds AAAI 2025 In Search of a Data Transformation That Accelerates Neural Field Training CVPR 2024 Active Learning Guided by Efficient Surrogate Learners AAAI 2024 Robust Distributed Gradient Aggregation Using Projections onto Gradient Manifolds AAAI 2024 Distributed Active Client Selection With Noisy Clients Using Model Association Scores ECCV 2024 RGBT-Dog: A Parametric Model and Pose Prior for Canine Body Analysis Data Creation WACV 2024 Collaborative Learning for Hand and Object Reconstruction With Attention-Guided Graph Convolution CVPR 2022 S2Contact: Graph-Based Network for 3D Hand-Object Contact Estimation with Semi-Supervised Learning ECCV 2022 Active Label Correction Using Robust Parameter Update and Entropy Propagation ECCV 2022 Robust Combination of Distributed Gradients Under Adversarial Perturbations CVPR 2022 Improving Predictors via Combination Across Diverse Task Categories ICML 2021 Testing Using Privileged Information by Adapting Features With Statistical Dependence ICCV 2021 End-to-End Detection and Pose Estimation of Two Interacting Hands ICCV 2021 Task-Aware Variational Adversarial Active Learning CVPR 2021 Combining Task Predictors via Enhancing Joint Predictability ECCV 2020 Weakly-Supervised Domain Adaptation via GAN and Mesh Model for Estimating 3D Hand Poses Interacting Objects CVPR 2020 RGBD-Dog: Predicting Canine Pose from RGBD Sensors CVPR 2020 Look here! A parametric learning based approach to redirect visual attention ECCV 2020 On Implicit Filter Level Sparsity in Convolutional Neural Networks CVPR 2019 Pushing the Envelope for RGB-Based Dense 3D Hand Pose Estimation via Neural Rendering CVPR 2019 Joint Manifold Diffusion for Combining Predictions on Decoupled Observations CVPR 2019 Augmented Skeleton Space Transfer for Depth-Based Hand Pose Estimation CVPR 2018 Improving Shape Deformation in Unsupervised Image-to-Image Translation ECCV 2018 Multi-Task Learning by Maximizing Statistical Dependence CVPR 2018 Unsupervised Attention-guided Image-to-Image Translation NIPS 2018 High-Order Tensor Regularization With Application to Attribute Ranking CVPR 2018 Predictor Combination at Test Time ICCV 2017 Semi-Supervised Learning With Explicit Relationship Regularization CVPR 2015 Context-Guided Diffusion for Label Propagation on Graphs ICCV 2015 Local High-Order Regularization on Data Manifolds CVPR 2015 Curvature-Aware Regularization on Riemannian Submanifolds ICCV 2013