Diffusion models have gained significant popularity in the field of
imag...
Vector search has emerged as the foundation for large-scale information
...
We propose a flexible framework for defining the 1-Laplacian of a hyperg...
Multi-frame depth estimation generally achieves high accuracy relying on...
Mapping Low Dynamic Range (LDR) images with different exposures to High
...
Generating a high-quality High Dynamic Range (HDR) image from dynamic sc...
Recently, many works have designed wider and deeper networks to achieve
...
Bilayer intelligent omni-surface (BIOS) has recently attracted increasin...
Recovering clear structures from severely blurry inputs is a challenging...
This paper introduces the methods and the results of AIM 2022 challenge ...
This paper reviews the Challenge on Super-Resolution of Compressed Image...
We study p-Laplacians and spectral clustering for a recently proposed
hy...
Accurate semantic segmentation models typically require significant
comp...
Computer vision models for image quality assessment (IQA) predict the
su...
Optical flow estimation is a classical yet challenging task in computer
...
Facial expression recognition plays an important role in human-computer
...
We develop a framework for incorporating edge-dependent vertex weights
(...
Facial age estimation is an important yet very challenging problem in
co...
Due to their ability to create favorable line-of-sight (LoS) propagation...
Higher-order networks have so far been considered primarily in the conte...
With the increasing popularity of graph-based methods for dimensionality...
A widely established set of unsupervised node embedding methods can be
i...
Direction-of-arrival (DOA) estimation is one of the most demanding tasks...
We propose a novel method to co-cluster the vertices and hyperedges of
h...
Self-supervised depth estimation has made a great success in learning de...
This letter investigates the joint active and passive beamforming
optimi...
Blind image deblurring is a fundamental and challenging computer vision
...
This tutorial paper presents a didactic treatment of the emerging topic ...
A common challenge in personalized user preference prediction is the
col...
Self-supervised depth estimation has shown its great effectiveness in
pr...
This paper reviews the second AIM learned ISP challenge and provides the...
Hybrid beamforming (HBF) is an attractive technology for practical massi...
We review the AIM 2020 challenge on virtual image relighting and illumin...
This paper reviews the AIM 2020 challenge on efficient single image
supe...
Recently, context reasoning using image regions beyond local convolution...
The captured images under low light conditions often suffer insufficient...
Intelligent reflecting surfaces (IRSs) are regarded as promising enabler...
In this work, we propose a novel unsupervised deep learning model to add...
Recently, interactive recommender systems are becoming increasingly popu...
This paper targets to a novel but practical recommendation problem named...
Click-Through Rate (CTR) prediction plays an important role in many
indu...
This letter investigates the hybrid analog and digital beamforming (HBF)...
Beamforming (BF) design for large-scale antenna arrays with limited radi...
We present a learning-based scheme for robustly and accurately estimatin...
Hybrid analog and digital beamforming (HBF) has recently emerged as an
a...
In recommender systems, cold-start issues are situations where no previo...
In e-commerce websites like Taobao, brand is playing a more important ro...
In this paper, we present a co-designed petascale high-density GPU clust...
In this paper, we introduce a new and challenging large-scale food image...