3 citations · 6 across the 5 of their papers we have counts for
5 papers · 1 filter
Flow-Assisted Motion Learning Network for Weakly-Supervised Group Activity Recognition
Muhammad Adi Nugroho, Sangmin Woo, Sumin Lee +4
Weakly-Supervised Group Activity Recognition (WSGAR) aims to understand the activity performed together by a group of individuals with the video-level label and without actor-level…
Modality Mixer Exploiting Complementary Information for Multi-modal Action Recognition
Sumin Lee, Sangmin Woo, Muhammad Adi Nugroho +1
Due to the distinctive characteristics of sensors, each modality exhibits unique physical properties. For this reason, in the context of multi-modal action recognition, it is impor…
Audio-Visual Glance Network for Efficient Video Recognition
Muhammad Adi Nugroho, Sangmin Woo, Sumin Lee +1
Deep learning has made significant strides in video understanding tasks, but the computation required to classify lengthy and massive videos using clip-level video classifiers rema…
Towards Good Practices for Missing Modality Robust Action Recognition
Sangmin Woo, Sumin Lee, Yeonju Park +2
Standard multi-modal models assume the use of the same modalities in training and inference stages. However, in practice, the environment in which multi-modal models operate may no…
Test-time Adaptation for Real Image Denoising via Meta-transfer Learning
Agus Gunawan, Muhammad Adi Nugroho, Se Jin Park
In recent years, a ton of research has been conducted on real image denoising tasks. However, the efforts are more focused on improving real image denoising through creating a bett…