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cs.CV2023

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…

cs.CV2019

Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification

Seokeon Choi, Sumin Lee, Youngeun Kim +2

Visible-infrared person re-identification (VI-ReID) is an important task in night-time surveillance applications, since visible cameras are difficult to capture valid appearance in…

cs.CV2019

SRG: Snippet Relatedness-based Temporal Action Proposal Generator

Hyunjun Eun, Sumin Lee, Jinyoung Moon +3

Recent temporal action proposal generation approaches have suggested integrating segment- and snippet score-based methodologies to produce proposals with high recall and accurate b…

cs.CV2019

Learning to Align Multi-Camera Domains using Part-Aware Clustering for Unsupervised Video Person Re-Identification

Youngeun Kim, Seokeon Choi, Taekyung Kim +2

Most video person re-identification (re-ID) methods are mainly based on supervised learning, which requires cross-camera ID labeling. Since the cost of labeling increases dramatica…

cs.CV2019

A Global-Local Emebdding Module for Fashion Landmark Detection

Sumin Lee, Sungchan Oh, Chanho Jung +1

Detecting fashion landmarks is a fundamental technique for visual clothing analysis. Due to the large variation and non-rigid deformation of clothes, localizing fashion landmarks s…