9 citations · 13 across the 6 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…
Spatio-Temporal Proximity-Aware Dual-Path Model for Panoramic Activity Recognition
Sumin Lee, Yooseung Wang, Sangmin Woo +1
Panoramic Activity Recognition (PAR) seeks to identify diverse human activities across different scales, from individual actions to social group and global activities in crowded pa…
Towards Robust Multimodal Prompting With Missing Modalities
Jaehyuk Jang, Yooseung Wang, Changick Kim
Recently, multimodal prompting, which introduces learnable missing-aware prompts for all missing modality cases, has exhibited impressive performance. However, it encounters two cr…
CAFS: Class Adaptive Framework for Semi-Supervised Semantic Segmentation
Jingi Ju, Hyeoncheol Noh, Yooseung Wang +2
Semi-supervised semantic segmentation learns a model for classifying pixels into specific classes using a few labeled samples and numerous unlabeled images. The recent leading appr…
Zero-Shot Semantic Segmentation via Spatial and Multi-Scale Aware Visual Class Embedding
Sungguk Cha, Yooseung Wang
Fully supervised semantic segmentation technologies bring a paradigm shift in scene understanding. However, the burden of expensive labeling cost remains as a challenge. To solve t…