We propose a novel approach for unsupervised 3D animation of non-rigid deformable
objects. Our method learns the 3D structure and dynamics of objects solely from single-view …

Monocular depth estimation makes it possible for machines to perceive the real world. The
prediction performance of the depth estimation network based on deep learning will be …

Drug combinations are frequently used to treat cancer to reduce side effects and increase
efficacy. The experimental discovery of drug combination synergy is time-consuming and …

Multimodal deep learning, in the context of biometrics, encounters significant challenges
due to the dependence on long speech utterances and RGB images, which are often …

Motion transfer of talking-head videos involves generating a new video with the appearance
of a subject video and the motion pattern of a driving video. Current methodologies primarily …

In many applications, such as robotic perception, scene understanding, augmented reality,
3D reconstruction, and medical image analysis, depth from images is a fundamentally ill …

Fake content has grown at an incredible rate over the past few years. The spread of social
media and online platforms makes their dissemination on a large scale increasingly …

We present DurLAR, a high-fidelity 128-channel 3D LiDAR dataset with panoramic ambient
(near infrared) and reflectivity imagery, as well as a sample benchmark task using depth …

Recent literature has witnessed significant interest towards 3D biometrics employing
monocular vision for robust authentication methods. Motivated by this, in this work we seek …

Deep fake technology paves the way for a new generation of super realistic artificial content.
While this opens the door to extraordinary new applications, the malicious use of deepfakes …