2 citations · 3 across the 3 of their papers we have counts for
4 papers
Physics-Aware Deepfake Detection via Distance-Speech Consistency
Kyeongrae Kim, Kim Sung-Bin, Oh Hyun-Bin +1
Recent progress in generative models has made talking-head deepfakes highly realistic and easy to create, jeopardizing public trust. However, most audio-visual deepfake detectors r…
AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models
Kim Sung-Bin, Oh Hyun-Bin, JungMok Lee +3
Following the success of Large Language Models (LLMs), expanding their boundaries to new modalities represents a significant paradigm shift in multimodal understanding. Human perce…
Revisiting Learning-based Video Motion Magnification for Real-time Processing
Hyunwoo Ha, Oh Hyun-Bin, Kim Jun-Seong +6
Video motion magnification is a technique to capture and amplify subtle motion in a video that is invisible to the naked eye. The deep learning-based prior work successfully demons…
Learning-based Axial Video Motion Magnification
Kwon Byung-Ki, Oh Hyun-Bin, Kim Jun-Seong +2
Video motion magnification amplifies invisible small motions to be perceptible, which provides humans with a spatially dense and holistic understanding of small motions in the scen…