Search Results for author:
Found 8 papers, 4 papers with code
Neural Field Classifiers via Target Encoding and Classification Loss
We successfully propose a novel Neural Field Classifier (NFC) framework which formulates existing neural field methods as classification tasks rather than regression tasks.
UV-IDM: Identity-Conditioned Latent Diffusion Model for Face UV-Texture Generation
To solve these problems we introduce an Identity-Conditioned Latent Diffusion Model for face UV-texture generation (UV-IDM) to generate photo-realistic textures based on the Basel Face Model (BFM).
MFMAN-YOLO: A Method for Detecting Pole-like Obstacles in Complex Environment
To solve the problem that the feature information of pole-like obstacles in complex environments is easily lost, resulting in low detection accuracy and low real-time performance, a multi-scale hybrid attention mechanism detection algorithm is proposed in this paper.
Face Animation with an Attribute-Guided Diffusion Model
Face animation has achieved much progress in computer vision.
Cybersecurity Challenges of Power Transformers
The rise of cyber threats on critical infrastructure and its potential for devastating consequences, has significantly increased.
General time-reversal equivariant neural network potential for magnetic materials
This study introduces time-reversal E(3)-equivariant neural network and SpinGNN++ framework for constructing a comprehensive interatomic potential for magnetic systems, encompassing spin-orbit coupling and noncollinear magnetic moments.
FNeVR: Neural Volume Rendering for Face Animation
In FNeVR, we design a 3D Face Volume Rendering (FVR) module to enhance the facial details for image rendering.
MAVOT: Memory-Augmented Video Object Tracking
We introduce a one-shot learning approach for video object tracking.
