With the success of self-supervised learning, multimodal foundation mode...
Teaching assistants have played essential roles in the long history of
e...
Visual question answering (VQA) has been intensively studied as a multim...
Controllable text generation has taken a gigantic step forward these day...
We propose a new method named OnePose for object pose estimation. Unlike...
Variational Auto-Encoder (VAE) has become the de-facto learning paradigm...
Using neural networks to represent 3D objects has become popular. Howeve...
In recent years, neural signed distance function (SDF) has become one of...
In this letter, we explored generative image steganography based on
auto...
Generative linguistic steganography mainly utilized language models and
...
Using deep learning techniques to process 3D objects has achieved many
s...
Convolutional neural networks (CNNs) have been widely used in various vi...
Voxel-based 3D object classification has been frequently studied in rece...
Deep learning and convolutional neural networks (CNNs) have made progres...
In this paper, we propose a novel system named Disp R-CNN for 3D object
...
In this paper, we present an InSphereNet method for the problem of 3D ob...
Convolutional neural networks (CNNs) realize the automation of feature
e...
Convolutional neural networks (CNNs) have shown good performance in
pola...
Recent surveys have shown that an increasing portion of the US public
be...