Minha Kim — accepted AI-conference papers

2021

FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset

Hasam Khalid, Shahroz Tariq, Minha Kim, Simon S. Woo

NeurIPS 2021poster

While the significant advancements have made in the generation of deepfakes using deep learning technologies, its misuse is a well-known issue now. Deepfakes can cause severe security and privacy issues as they can be used to impersonate a person's identity in a video by replacing his/her face with…

Cited by 254 Source ↗code ↗Scholar ↗

2021

VFP290K: A Large-Scale Benchmark Dataset for Vision-based Fallen Person Detection

Jaeju An, Jeongho Kim, Hanbeen Lee, Jinbeom Kim, Junhyung Kang, Minha Kim +3

NeurIPS 2021poster

Detection of fallen persons due to, for example, health problems, violence, or accidents, is a critical challenge. Accordingly, detection of these anomalous events is of paramount importance for a number of applications, including but not limited to CCTV surveillance, security, and health care. Give…

Cited by 20 Source ↗Scholar ↗