20 citations · 32 across the 18 of their papers we have counts for
5 papers · 1 filter
HarmonyView: Harmonizing Consistency and Diversity in One-Image-to-3D
Sangmin Woo, Byeongjun Park, Hyojun Go +2
Recent progress in single-image 3D generation highlights the importance of multi-view coherency, leveraging 3D priors from large-scale diffusion models pretrained on Internet-scale…
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…
Denoising Task Routing for Diffusion Models
Byeongjun Park, Sangmin Woo, Hyojun Go +2
Diffusion models generate highly realistic images by learning a multi-step denoising process, naturally embodying the principles of multi-task learning (MTL). Despite the inherent…
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…
Sketch-based Video Object Localization
Sangmin Woo, So-Yeong Jeon, Jinyoung Park +3
We introduce Sketch-based Video Object Localization (SVOL), a new task aimed at localizing spatio-temporal object boxes in video queried by the input sketch. We first outline the c…