1 code implementation • NeurIPS 2021 Track Datasets and Benchmarks 2022 • Jaeju An, Jeongho Kim, Hanbeen Lee, Jinbeom Kim, Junhyung Kang, Saebyeol Shin, Minha Kim, Donghee Hong, Simon S. Woo
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.
Ranked #1 on
Anomaly Detection In Surveillance Videos
on VFP290K
no code implementations • 7 Sep 2021 • Hasam Khalid, Minha Kim, Shahroz Tariq, Simon S. Woo
On the other hand, to develop a good deepfake detector that can cope with the recent advancements in deepfake generation, we need to have a detector that can detect deepfakes of multiple modalities, i. e., videos and audios.
2 code implementations • 11 Aug 2021 • Hasam Khalid, Shahroz Tariq, Minha Kim, Simon S. Woo
We generate this dataset using the most popular deepfake generation methods.
2 code implementations • 6 Jul 2021 • Minha Kim, Shahroz Tariq, Simon S. Woo
Over the last few decades, artificial intelligence research has made tremendous strides, but it still heavily relies on fixed datasets in stationary environments.
no code implementations • 28 May 2021 • Minha Kim, Shahroz Tariq, Simon S. Woo
We use FReTAL to perform domain adaptation tasks on new deepfake datasets while minimizing catastrophic forgetting.