54 citations · 93 across the 8 of their papers we have counts for
16 papers
Collaborative Learning for Hand and Object Reconstruction with Attention-guided Graph Convolution
Tze Ho Elden Tse, Kwang In Kim, Ales Leonardis +1
Estimating the pose and shape of hands and objects under interaction finds numerous applications including augmented and virtual reality. Existing approaches for hand and object re…
Repurposing Existing Deep Networks for Caption and Aesthetic-Guided Image Cropping
Nora Horanyi, Kedi Xia, Kwang Moo Yi +3
We propose a novel optimization framework that crops a given image based on user description and aesthetics. Unlike existing image cropping methods, where one typically trains a de…
Nesterov Accelerated ADMM for Fast Diffeomorphic Image Registration
Alexander Thorley, Xi Jia, Hyung Jin Chang +8
Deterministic approaches using iterative optimisation have been historically successful in diffeomorphic image registration (DiffIR). Although these approaches are highly accurate,…
Unsupervised Hyperbolic Representation Learning via Message Passing Auto-Encoders
Jiwoong Park, Junho Cho, Hyung Jin Chang +1
Most of the existing literature regarding hyperbolic embedding concentrate upon supervised learning, whereas the use of unsupervised hyperbolic embedding is less well explored. In…
FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism
Wei Chen, Xi Jia, Hyung Jin Chang +3
In this paper, we focus on category-level 6D pose and size estimation from monocular RGB-D image. Previous methods suffer from inefficient category-level pose feature extraction wh…
Combining Task Predictors via Enhancing Joint Predictability
Kwang In Kim, Christian Richardt, Hyung Jin Chang
Predictor combination aims to improve a (target) predictor of a learning task based on the (reference) predictors of potentially relevant tasks, without having access to the intern…