Optimizations premised on open-loop metrics such as Age of Information (...
Denoising Diffusion Probabilistic Models have shown extraordinary abilit...
Out-of-distribution (OOD) detection is a crucial aspect of deploying mac...
Existing face stylization methods always acquire the presence of the tar...
In this paper, we introduce Dependency Dialogue Acts (DDA), a novel fram...
The main challenge for fine-grained few-shot image classification is to ...
Extensive research works demonstrate that the attention mechanism in
con...
Vision transformer has achieved impressive performance for many vision t...
Extreme multi-label text classification (XMTC) is the task of finding th...
We present DeepGen, a system deployed at web scale for automatically cre...
Social influence prediction has permeated many domains, including market...
Deep learning approaches have provided state-of-the-art performance in m...
We propose a new challenging task namely IDentity Stylization (IDS) acro...
Subgraph recognition aims at discovering a compressed substructure of a ...
Smart databases are adopting artificial intelligence (AI) technologies t...
Few-shot learning for fine-grained image classification has gained recen...
We propose an augmented Parallel-Pyramid Net (P^2 Net) with feature
refi...
Despite achieving state-of-the-art performance, deep learning methods
ge...
Face portrait editing has achieved great progress in recent years. Howev...
A deep neural network of multiple nonlinear layers forms a large functio...
The target of human pose estimation is to determine body part or joint
l...
The performance of multi-domain image-to-image translation has been
sign...
Reconstructing 3D human shape and pose from a monocular image is challen...
We propose a novel Pose-robust Spatial-aware GAN (PSGAN) for transferrin...
Automatically analyzing dialogue can help understand and guide behavior ...
Despite that the performance of image-to-image translation has been
sign...
Near infrared-visible (NIR-VIS) heterogeneous face recognition refers to...
Accurate house prediction is of great significance to various real estat...
Face completion is a challenging generation task because it requires
gen...
Face frontalization refers to the process of synthesizing the frontal vi...
Multi-view face synthesis from a single image is an ill-posed problem an...
In this paper, we propose the nonlinearity generation method to speed up...
Face synthesis has been a fascinating yet challenging problem in compute...