Kwang In Kim

27

Papers

3

Total Citations

Papers (27)

PoseBH: Prototypical Multi-Dataset Training Beyond Human Pose Estimation

Active Learning Guided by Efficient Surrogate Learners

Robust Distributed Gradient Aggregation Using Projections onto Gradient Manifolds

In Search of a Data Transformation That Accelerates Neural Field Training

Semi-Supervised Learning With Explicit Relationship Regularization

Local High-Order Regularization on Data Manifolds

Multi-Task Learning by Maximizing Statistical Dependence

High-Order Tensor Regularization With Application to Attribute Ranking

Augmented Skeleton Space Transfer for Depth-Based Hand Pose Estimation

On Implicit Filter Level Sparsity in Convolutional Neural Networks

Pushing the Envelope for RGB-Based Dense 3D Hand Pose Estimation via Neural Rendering

Joint Manifold Diffusion for Combining Predictions on Decoupled Observations

RGBD-Dog: Predicting Canine Pose from RGBD Sensors

Task-Aware Variational Adversarial Active Learning

Robust Combination of Distributed Gradients Under Adversarial Perturbations

Collaborative Learning for Hand and Object Reconstruction With Attention-Guided Graph Convolution

Context-Guided Diffusion for Label Propagation on Graphs

Predictor Combination at Test Time

End-to-End Detection and Pose Estimation of Two Interacting Hands

Testing Using Privileged Information by Adapting Features With Statistical Dependence

Combining Task Predictors via Enhancing Joint Predictability

Look here! A parametric learning based approach to redirect visual attention

S2Contact: Graph-Based Network for 3D Hand-Object Contact Estimation with Semi-Supervised Learning

Active Label Correction Using Robust Parameter Update and Entropy Propagation

Weakly-Supervised Domain Adaptation via GAN and Mesh Model for Estimating 3D Hand Poses Interacting Objects

Diffusion-Based Active Learning for Distributed Client Manifolds

Unsupervised Attention-guided Image-to-Image Translation