activity
20132023
most citedLearning to Propagate Labels: Transductive Propagation Network for Few-shot Learning

517 citations · 1.3k across the 60 of their papers we have counts for

collaborators

60 papers

cs.CV2023★ 2 cited

BackTrack: Robust template update via Backward Tracking of candidate template

Dongwook Lee, Wonjun Choi, Seohyung Lee +3

Variations of target appearance such as deformations, illumination variance, occlusion, etc., are the major challenges of visual object tracking that negatively impact the performa…

cs.SD2023

ZET-Speech: Zero-shot adaptive Emotion-controllable Text-to-Speech Synthesis with Diffusion and Style-based Models

Minki Kang, Wooseok Han, Sung Ju Hwang +1

Emotional Text-To-Speech (TTS) is an important task in the development of systems (e.g., human-like dialogue agents) that require natural and emotional speech. Existing approaches,…

cs.CV2023

Learning Input-agnostic Manipulation Directions in StyleGAN with Text Guidance

Yoonjeon Kim, Hyunsu Kim, Junho Kim +2

With the advantages of fast inference and human-friendly flexible manipulation, image-agnostic style manipulation via text guidance enables new applications that were not previousl…

cs.CV2022★ 1 cited

Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding

Gyeongman Kim, Hajin Shim, Hyunsu Kim +3

Inspired by the impressive performance of recent face image editing methods, several studies have been naturally proposed to extend these methods to the face video editing task. On…

cs.LG2022

Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel

SungYub Kim, Sihwan Park, Kyungsu Kim +1

Explaining generalizations and preventing over-confident predictions are central goals of studies on the loss landscape of neural networks. Flatness, defined as loss invariability…

cs.LG2022★ 15 cited

Towards the Practical Utility of Federated Learning in the Medical Domain

Seongjun Yang, Hyeonji Hwang, Daeyoung Kim +4

Federated learning (FL) is an active area of research. One of the most suitable areas for adopting FL is the medical domain, where patient privacy must be respected. Previous resea…