Search Results for author:
Found 8 papers, 2 papers with code
FlashAvatar: High-fidelity Head Avatar with Efficient Gaussian Embedding
We propose FlashAvatar, a novel and lightweight 3D animatable avatar representation that could reconstruct a digital avatar from a short monocular video sequence in minutes and render high-fidelity photo-realistic images at 300FPS on a consumer-grade GPU.
LightCDNet: Lightweight Change Detection Network Based on VHR Images
Reducing the model size while maintaining high accuracy is a key challenge in developing lightweight change detection models.
Building change detection for remote sensing images
Change Detection
Mini-PointNetPlus: a local feature descriptor in deep learning model for 3d environment perception
The pioneer work PointNet has been widely applied as a local feature descriptor, a fundamental component in deep learning models for 3D perception, to extract features of a point cloud.
Reconstructing Personalized Semantic Facial NeRF Models From Monocular Video
We present a novel semantic model for human head defined with neural radiance field.
A Novel Framework to Jointly Compress and Index Remote Sensing Images for Efficient Content-Based Retrieval
We also introduce a two stage learning strategy with gradient manipulation techniques to obtain image representations that are compatible with both RS image indexing and compression.
End-to-End Learning Deep CRF models for Multi-Object Tracking
In this paper, we propose learning deep conditional random field (CRF) networks, aiming to model the assignment costs as unary potentials and the long-term dependencies among detection results as pairwise potentials.
Multiple Target Tracking by Learning Feature Representation and Distance Metric Jointly
Designing a robust affinity model is the key issue in multiple target tracking (MTT).
