ChatGPT has gained significant interest due to its impressive performanc...
Motivated by the advances in deep learning techniques, the application o...
One major challenge in reinforcement learning (RL) is the large amount o...
Existing fine-grained intensity regulation methods rely on explicit cont...
Dialogue response selection aims to select an appropriate response from
...
Extracting generalized and robust representations is a major challenge i...
This paper describes our system designed for SemEval-2023 Task 12: Senti...
Modern public ASR tools usually provide rich support for training variou...
Recently, graph-based and Transformer-based deep learning networks have
...
Existing data-to-text generation efforts mainly focus on generating a
co...
Existing neural methods have shown great potentials towards generating
i...
Weakly-supervised temporal action localization aims to localize action
i...
Reconstructing perceived natural images or decoding their categories fro...
Omnidirectional image quality assessment (OIQA) aims to predict the
perc...
Reconstructing a 3D object from a 2D image is a well-researched vision
p...
Reward design for reinforcement learning agents can be difficult in
situ...
Many dense 3D point clouds have been exploited to represent visual objec...
A well-designed interactive human-like dialogue system is expected to ta...
Recently, RNN-Transducers have achieved remarkable results on various
au...
Image dehazing aims to restore spatial details from hazy images. There h...
Vessel segmentation is essential in many medical image applications, suc...
Full waveform inversion (FWI) updates the subsurface model from an initi...
We introduce a novel segmental-attention model for automatic speech
reco...
In this work, we compare from-scratch sequence-level cross-entropy (full...
Digital human recommendation system has been developed to help customers...
Semi-supervised few-shot learning consists in training a classifier to a...
Real-time object detection on Unmanned Aerial Vehicles (UAVs) is a
chall...
Objective quality assessment of 3D point clouds is essential for the
dev...
Emulating firmware of microcontrollers is challenging due to the lack of...
There has been a growing interest in developing image super-resolution (...
Coronary CT Angiography (CCTA) is susceptible to various distortions (e....
The emotion recognition in conversation (ERC) task aims to predict the
e...
Blind image quality assessment (BIQA), which aims to accurately predict ...
The Emotion-Cause Pair Extraction (ECPE) task aims to extract emotions a...
As one of the most popular sequence-to-sequence modeling approaches for
...
This paper presents a High-altitude infrared thermal dataset, HIT-UAV, f...
Quality of experience (QoE) assessment for adaptive video streaming play...
Consider a matrix 𝐅∈𝕂[x]^m × n of univariate
polynomials over a field 𝕂....
The compute-storage framework is responsible for data storage and proces...
One of the key communicative competencies is the ability to maintain flu...
Autonomous driving has attracted significant research interests in the p...
Directed acyclic graph (DAG) models are widely used to represent causal
...
The mismatch between an external language model (LM) and the implicitly
...
Live streaming is becoming an increasingly popular trend of sales in
E-c...
Existing data-driven methods can well handle short text generation. Howe...
Many generation tasks follow a one-to-many mapping relationship: each in...
Chinese sentiment analysis (CSA) has always been one of the challenges i...
The repairing work of terracotta warriors in Emperor Qinshihuang Mausole...
The existing 3D deep learning methods adopt either individual point-base...
Detecting rumors on social media is a very critical task with significan...