Autonomous Dynamic System (DS)-based algorithms hold a pivotal and
found...
For prohibitively large-scale Travelling Salesman Problems (TSPs), exist...
Diffusion probabilistic models (DPMs) have shown remarkable results on
v...
Cross-lingual timbre and style generalizable text-to-speech (TTS) aims t...
Robots are increasingly being deployed not only in workplaces but also i...
Multimodal emotion recognition identifies human emotions from various da...
As a key component of automated speech recognition (ASR) and the front-e...
The focus of this study is on the spectrum sharing between multiple-inpu...
The vast progress in synthetic image synthesis enables the generation of...
Video Object Grounding (VOG) is the problem of associating spatial objec...
Neural architecture search (NAS) has become increasingly popular in the ...
Artificial intelligence is gaining momentum, ongoing pandemic is fuel to...
Natural language spatial video grounding aims to detect the relevant obj...
Enabling highly secure applications (such as border crossing) with face
...
The era of information explosion had prompted the accumulation of a
trem...
The recent success of Transformer has provided a new direction to variou...
Face verification has come into increasing focus in various applications...
Keyphrase extraction (KE) aims to summarize a set of phrases that accura...
State-of-the-art deep learning systems tightly couple model execution wi...
Federated learning is a recently proposed distributed machine learning
p...
Face morphing attacks target to circumvent Face Recognition Systems (FRS...
The dedicated memory of hardware accelerators can be insufficient to sto...
The primary objective of face morphing is to combine face images of diff...
A fundamental question during the outbreak of a novel disease or invasio...
GPUs are playing an increasingly important role in general-purpose compu...
The performance of a deep neural network is heavily dependent on its
arc...
In a structural health monitoring (SHM) system that uses digital cameras...
In this paper, we propose a novel pretraining-based encoder-decoder
fram...
Among the (uncontended) common wisdom in High-Performance Computing (HPC...
In this paper we study edit similarity joins, in which we are given a se...
Coordination services are a fundamental building block of modern cloud
s...
Training machine learning (ML) models with large datasets can incur
sign...
We propose smooth q-gram, the first variant of q-gram that captures
q-gr...