As machine learning gains prominence in various sectors of society for
a...
3D facial avatar reconstruction has been a significant research topic in...
Structured chemical reaction information plays a vital role for chemists...
Many recent practical and theoretical breakthroughs focus on adversarial...
The hybrid architecture of convolutional neural networks (CNNs) and
Tran...
The mission of open knowledge graph (KG) completion is to draw new findi...
Fine-grained entity typing (FET), which assigns entities in text with
co...
This paper presents a framework for efficient 3D clothed avatar
reconstr...
Text classification typically requires a substantial amount of
human-ann...
This paper studies a team coordination problem in a graph environment.
S...
Value-decomposition methods, which reduce the difficulty of a multi-agen...
Contextual information plays an important role in many computer vision t...
Given the stringent requirements of energy efficiency for Internet-of-Th...
In recent years, deep learning (DL)-based methods have been widely used ...
To enable the pre-trained models to be fine-tuned with local data on edg...
High-fidelity facial avatar reconstruction from a monocular video is a
s...
We present VideoReTalking, a new system to edit the faces of a real-worl...
Generating talking head videos through a face image and a piece of speec...
Neural Radiance Fields (NeRF) have achieved photorealistic novel views
s...
3D-aware generative adversarial networks (GANs) synthesize high-fidelity...
The anti-interference capability of wireless links is a physical layer
p...
Motivated by increasing pressure for decision makers to shorten the time...
In modern machine learning applications, frequent encounters of covariat...
This paper develops a Distributed Differentiable Dynamic Game (DDDG)
fra...
Implicit radiance functions emerged as a powerful scene representation f...
A code C = Φ(𝒞) is called ℤ_p
ℤ_p^2-linear if it's the Gray image of the...
In the paper, we firstly study the algebraic structures of ℤ_p
ℤ_p^k-add...
Existing 3D-aware facial generation methods face a dilemma in quality ve...
Moment retrieval in videos is a challenging task that aims to retrieve t...
Reviews of songs play an important role in online music service platform...
With the development of machine learning, it is difficult for a single s...
Multi-agent reinforcement learning for incomplete information environmen...
Discovering latent topics from text corpora has been studied for decades...
Neural volume rendering has been proven to be a promising method for
eff...
One-shot talking face generation aims at synthesizing a high-quality tal...
Previous portrait image generation methods roughly fall into two categor...
Neural Radiance Fields (NeRF) has recently gained popularity for its
imp...
We present High Dynamic Range Neural Radiance Fields (HDR-NeRF) to recov...
Neural Radiance Field (NeRF) has gained considerable attention recently ...
Counterfactual regret Minimization (CFR) is an effective algorithm for
s...
We study the problem of training named entity recognition (NER) models u...
Recent research has witnessed advances in facial image editing tasks
inc...
Pose transfer of human videos aims to generate a high fidelity video of ...
Counterfactual Regret Minimization (CFR) is the popular method for findi...
Shortcomings of randomized clinical trials are pronounced in urgent heal...
Nested case-control (NCC) is a sampling method widely used for developin...
Readily available proxies for time of disease onset such as time of the ...
This paper proposes an adaptive compact attention model for few-shot
vid...
Anomaly detection in time series has been widely researched and has impo...
Counterfactual regret minimization (CFR) is a popular method to deal wit...