← Authors

Kwang In Kim

33 papers · 2013–2026 · 7 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (12) 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (66) 🐺 Lone Wolf (6) πŸ† Keyword Champion (2) πŸ’Ž Century Club (32) ⚑ Prolific Year (5) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (6) πŸ—ƒοΈ Keyword Collector (145) πŸš€ Conference Pioneer

Conferences

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

Top co-authors

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

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
RGBT-Dog: A Parametric Model and Pose Prior for Canine Body Analysis Data Creation WACV 2024
Distributed Active Client Selection With Noisy Clients Using Model Association Scores ECCV 2024
Robust Distributed Gradient Aggregation Using Projections onto Gradient Manifolds AAAI 2024
Collaborative Learning for Hand and Object Reconstruction With Attention-Guided Graph Convolution CVPR 2022
Robust Combination of Distributed Gradients Under Adversarial Perturbations 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
Task-Aware Variational Adversarial Active Learning CVPR 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
Improving Predictors via Combination Across Diverse Task Categories ICML 2021
Look here! A parametric learning based approach to redirect visual attention ECCV 2020
RGBD-Dog: Predicting Canine Pose from RGBD Sensors CVPR 2020
Weakly-Supervised Domain Adaptation via GAN and Mesh Model for Estimating 3D Hand Poses Interacting Objects CVPR 2020
Combining Task Predictors via Enhancing Joint Predictability ECCV 2020
Joint Manifold Diffusion for Combining Predictions on Decoupled Observations CVPR 2019
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
Augmented Skeleton Space Transfer for Depth-Based Hand Pose Estimation CVPR 2018
Unsupervised Attention-guided Image-to-Image Translation NIPS 2018
Improving Shape Deformation in Unsupervised Image-to-Image Translation ECCV 2018
Multi-Task Learning by Maximizing Statistical Dependence CVPR 2018
High-Order Tensor Regularization With Application to Attribute Ranking CVPR 2018
Predictor Combination at Test Time ICCV 2017
Local High-Order Regularization on Data Manifolds CVPR 2015
Context-Guided Diffusion for Label Propagation on Graphs ICCV 2015
Semi-Supervised Learning With Explicit Relationship Regularization CVPR 2015
Curvature-Aware Regularization on Riemannian Submanifolds ICCV 2013