A generative model for high-fidelity point clouds is of great importance...
This paper proposes BPNet, a novel end-to-end deep learning framework to...
The Segment Anything Model (SAM) has recently gained popularity in the f...
This paper presents a novel method for efficiently solving trajectory
pl...
Low-light images often suffer from severe noise, low brightness, low
con...
The Diffusion Probabilistic Model (DPM) has recently gained popularity i...
Language is one of the primary means by which we describe the 3D world a...
Open checkout-free grocery is the grocery store where the customers neve...
We present ShapeCrafter, a neural network for recursive text-conditioned...
In visual computing, 3D geometry is represented in many different forms
...
Unmanned Aerial Vehicles (UAVs) are now becoming increasingly accessible...
Unmanned aerial vehicles are now becoming increasingly accessible to ama...
Unmanned Aerial Vehicles (UAVs) are now becoming increasingly accessible...
Unmanned Aerial Vehicles (UAVs) are now becoming increasingly accessible...
Fine-grained 3D shape retrieval aims to retrieve 3D shapes similar to a ...
Recently, deep learning has been adopted to the glaucoma classification ...
Deep Neural Network has been found vulnerable in many previous works. A ...
Generative Adversarial Net (GAN) has been proven to be a powerful machin...