5 citations · 7 across the 3 of their papers we have counts for
4 papers
Pose Splatter: A 3D Gaussian Splatting Model for Quantifying Animal Pose and Appearance
Jack Goffinet, Youngjo Min, Carlo Tomasi +1
Accurate and scalable quantification of animal pose and appearance is crucial for studying behavior. Current 3D pose estimation techniques, such as keypoint- and mesh-based techniq…
Controllable Style Transfer via Test-time Training of Implicit Neural Representation
Sunwoo Kim, Youngjo Min, Younghun Jung +1
We propose a controllable style transfer framework based on Implicit Neural Representation that pixel-wisely controls the stylized output via test-time training. Unlike traditional…
ConMatch: Semi-Supervised Learning with Confidence-Guided Consistency Regularization
Jiwon Kim, Youngjo Min, Daehwan Kim +4
We present a novel semi-supervised learning framework that intelligently leverages the consistency regularization between the model's predictions from two strongly-augmented views…
Joint Learning of Feature Extraction and Cost Aggregation for Semantic Correspondence
Jiwon Kim, Youngjo Min, Mira Kim +1
Establishing dense correspondences across semantically similar images is one of the challenging tasks due to the significant intra-class variations and background clutters. To solv…