A recommendation system assists users in finding items that are relevant...
Visible-infrared person re-identification (VI-ReID) is a challenging tas...
We present PBFormer, an efficient yet powerful scene text detector that
...
Text recognition methods are gaining rapid development. Some advanced
te...
Visual chart recognition systems are gaining increasing attention due to...
Recent advances in generative AI have brought incredible breakthroughs i...
The recommendation system is not only a problem of inductive statistics ...
Structure-based drug design powered by deep generative models have attra...
Visual-Language Models (VLMs) have significantly advanced action video
r...
Table structure recognition aims to extract the logical and physical
str...
Physics-informed neural networks (PINNs) have lately received significan...
The task of response selection in multi-turn dialogue is to find the bes...
Micro-expressions have drawn increasing interest lately due to various
p...
The spread of misinformation is a prominent problem in today's society, ...
Emotional Support Conversation (ESConv) aims to reduce help-seekers'emot...
Physics-informed neural networks (PINNs) have been proposed to solve two...
Controllable story generation is a challenging task in the field of NLP,...
Face animation, one of the hottest topics in computer vision, has achiev...
Motivations, emotions, and actions are inter-related essential factors i...
The rapid analysis of thermal stress and deformation plays a pivotal rol...
Error correction techniques remain effective to refine outputs from auto...
In this paper, we describe a data enhancement method for developing Emil...
Few-Shot Class-Incremental Learning (FSCIL) aims at incrementally learni...
Persuasive strategy recognition task requires the system to recognize th...
Physics-informed extreme learning machine (PIELM) has recently received
...
Intention, emotion and action are important psychological factors in hum...
Learning solutions of partial differential equations (PDEs) with
Physics...
Micro-expression recognition (MER) is valuable because the involuntary n...
Emotional support conversation aims at reducing the emotional distress o...
The inherent slow imaging speed of Magnetic Resonance Image (MRI) has sp...
Semantic segmentation (SS) aims to classify each pixel into one of the
p...
In the whole aircraft structural optimization loop, thermal analysis pla...
Story Ending Generation (SEG) is a challenging task in natural language
...
Intention, emotion and action are important elements in human activities...
We consider the extra degree of freedom offered by the rotation of the
r...
Temperature field inversion of heat-source systems (TFI-HSS) with limite...
In this paper, we describe approaches for developing Emily, an
emotion-a...
With the strength of deep generative models, 3D pose transfer regains
in...
Ranking models have achieved promising results, but it remains challengi...
Physics-informed neural networks (PINNs) have been widely used to solve
...
Physics Informed Neural Network (PINN) is a scientific computing framewo...
It is prevalent to utilize external knowledge to help machine answer
que...
Temperature monitoring during the life time of heat source components in...
Dialogue State Tracking (DST), which is the process of inferring user go...
Though introduced nearly 50 years ago, the infinitesimal jackknife (IJ)
...
Question answering systems usually use keyword searches to retrieve pote...
This paper introduces our systems for all three subtasks of SemEval-2021...
Recently, there has been a raising surge of momentum for deep representa...
Most language understanding models in dialog systems are trained on a sm...
Inspired by the success of neural networks in the classical machine lear...