12 citations · 31 across the 4 of their papers we have counts for
4 papers
Diff-ID: An Explainable Identity Difference Quantification Framework for DeepFake Detection
Chuer Yu, Xuhong Zhang, Yuxuan Duan +5
Despite the fact that DeepFake forgery detection algorithms have achieved impressive performance on known manipulations, they often face disastrous performance degradation when gen…
WeakM3D: Towards Weakly Supervised Monocular 3D Object Detection
Liang Peng, Senbo Yan, Boxi Wu +3
Monocular 3D object detection is one of the most challenging tasks in 3D scene understanding. Due to the ill-posed nature of monocular imagery, existing monocular 3D detection meth…
OCM3D: Object-Centric Monocular 3D Object Detection
Liang Peng, Fei Liu, Senbo Yan +2
Image-only and pseudo-LiDAR representations are commonly used for monocular 3D object detection. However, methods based on them have shortcomings of either not well capturing the s…
Lidar Point Cloud Guided Monocular 3D Object Detection
Liang Peng, Fei Liu, Zhengxu Yu +5
Monocular 3D object detection is a challenging task in the self-driving and computer vision community. As a common practice, most previous works use manually annotated 3D box label…