Multi-modal Large Language Model (MLLM) refers to a model expanded from ...
Modeling and synthesizing low-light raw noise is a fundamental problem f...
Over the past few years, due to the rapid development of machine learnin...
The problem of constrained reinforcement learning (CRL) holds significan...
Within the tensor singular value decomposition (T-SVD) framework, existi...
Tourists often go to multiple tourism destinations in one trip. The volu...
The referring video object segmentation task (RVOS) aims to segment obje...
Video highlight detection is a crucial yet challenging problem that aims...
It has been found that temporal action proposal generation, which aims t...
A high-resolution network exhibits remarkable capability in extracting
m...
Deep learning-based methods for low-light image enhancement typically re...
Satellite video cameras can provide continuous observation for a large-s...
Intent classification (IC) and slot filling (SF) are critical building b...
Text analytics directly on compression (TADOC) has proven to be a promis...
Keyphrase Prediction (KP) task aims at predicting several keyphrases tha...
Deep neural networks have been widely used in image denoising during the...
This technique report introduces TexSmart, a text understanding system t...
Information coefficient (IC) is a widely used metric for measuring inves...
This article provides a comprehensive description of Text Analytics Dire...
In this paper, we bring forward a completely perturbed nonconvex Schatte...
Compressed sensing shows that a sparse signal can stably be recovered fr...
In this paper, we focus on the coordinate representation in human pose
e...
In this paper we investigate the reconstruction conditions of nuclear no...
Previous work regarding low-rank matrix recovery has concentrated on the...
Data stream processing systems (DSPSs) enable users to express and run s...
While being the de facto standard coordinate representation in human pos...
Hardware Trojans (HTs) have drawn more and more attention in both academ...
The essential task of multi-dimensional data analysis focuses on the ten...
In previous work, theoretical analysis based on the tensor Restricted
Is...
Transactional state management relieves users from managing state consis...
In this paper, we propose a novel model with a hierarchical photo-scene
...
Biology can provide biomimetic components and new control principles for...
In this paper, we consider recovering the signal x∈R^n
from its few nois...
Existing human pose estimation approaches often only consider how to imp...