Implicit neural rendering, which uses signed distance function (SDF)
rep...
Recommender systems have been demonstrated to be effective to meet user'...
Text-guided 3D shape generation remains challenging due to the absence o...
With the rapid development of mobile devices, modern widely-used mobile
...
The recent trend in multiple object tracking (MOT) is heading towards
le...
Moire patterns, appearing as color distortions, severely degrade image a...
As there is a growing interest in utilizing data across multiple resourc...
Crime prediction is crucial for public safety and resource optimization,...
Many previous studies aim to augment collaborative filtering with deep n...
In this paper, we propose a framework centering around a novel architect...
Recent self-supervised video representation learning methods have found
...
Accurate forecasting of citywide traffic flow has been playing critical ...
Capturing users' precise preferences is of great importance in various
r...
Accurate user and item embedding learning is crucial for modern recommen...
Session-based recommendation plays a central role in a wide spectrum of
...
Social recommendation task aims to predict users' preferences over items...
Modern recommender systems often embed users and items into low-dimensio...
In recent years, researchers attempt to utilize online social informatio...
Action localization networks are often structured as a feature encoder
s...
State of the art (SOTA) few-shot learning (FSL) methods suffer significa...
In this paper, we present Fedlearn-Algo, an open-source privacy preservi...
The recent trend in multiple object tracking (MOT) is heading towards
le...
Fraud detection is extremely critical for e-commerce business. It is the...
We present a new deep point cloud rendering pipeline through multi-plane...
Graph representation learning is to learn universal node representations...
Compared with automatic speech recognition (ASR), the human auditory sys...
Value iteration is a powerful yet inefficient algorithm for Markov decis...