58 citations · 230 across the 37 of their papers we have counts for
38 papers
A Survey of Recent Advances and Challenges in Deep Audio-Visual Correlation Learning
Luis Vilaca, Yi Yu, Paula Vinan
Audio-visual correlation learning aims to capture and understand natural phenomena between audio and visual data. The rapid growth of Deep Learning propelled the development of pro…
Observation of gamma rays up to 320 TeV from the middle-aged TeV pulsar wind nebula HESS J1849000
M. Amenomori, S. Asano, Y. W. Bao +115
Gamma rays from HESS J1849000, a middle-aged TeV pulsar wind nebula (PWN), are observed by the Tibet air shower array and the muon detector array. The detection significance of…
FoodGPT: A Large Language Model in Food Testing Domain with Incremental Pre-training and Knowledge Graph Prompt
Zhixiao Qi, Yijiong Yu, Meiqi Tu +2
Currently, the construction of large language models in specific domains is done by fine-tuning on a base model. Some models also incorporate knowledge bases without the need for p…
Towards Integrated Traffic Control with Operating Decentralized Autonomous Organization
Shengyue Yao, Jingru Yu, Yi Yu +5
With a growing complexity of the intelligent traffic system (ITS), an integrated control of ITS that is capable of considering plentiful heterogeneous intelligent agents is desired…
An Intelligent Remote Sensing Image Quality Inspection System
Yijiong Yu, Tao Wang, Kang Ran +2
Due to the inevitable presence of quality problems, quality inspection of remote sensing images is indeed an indispensable step between the acquisition and the application of them.…
Controllable Lyrics-to-Melody Generation
Zhe Zhang, Yi Yu, Atsuhiro Takasu
Lyrics-to-melody generation is an interesting and challenging topic in AI music research field. Due to the difficulty of learning the correlations between lyrics and melody, previo…
Multilayer random dot product graphs: Estimation and online change point detection
Fan Wang, Wanshan Li, Oscar Hernan Madrid Padilla +2
We study the multilayer random dot product graph (MRDPG) model, an extension of the random dot product graph to multilayer networks. To estimate the edge probabilities, we deploy a…
Robust mean change point testing in high-dimensional data with heavy tails
Mengchu Li, Yudong Chen, Tengyao Wang +1
We study mean change point testing problems for high-dimensional data, with exponentially- or polynomially-decaying tails. In each case, depending on the -norm of the mean…
H2RBox-v2: Incorporating Symmetry for Boosting Horizontal Box Supervised Oriented Object Detection
Yi Yu, Xue Yang, Qingyun Li +4
With the rapidly increasing demand for oriented object detection, e.g. in autonomous driving and remote sensing, the recently proposed paradigm involving weakly-supervised detector…
Frame-Level Multi-Label Playing Technique Detection Using Multi-Scale Network and Self-Attention Mechanism
Dichucheng Li, Mingjin Che, Wenwu Meng +4
Instrument playing technique (IPT) is a key element of musical presentation. However, most of the existing works for IPT detection only concern monophonic music signals, yet little…
High-Dimensional Dynamic Pricing under Non-Stationarity: Learning and Earning with Change-Point Detection
Zifeng Zhao, Feiyu Jiang, Yi Yu +1
We consider a high-dimensional dynamic pricing problem under non-stationarity, where a firm sells products to sequentially arriving consumers that behave according to an unknow…
Change point detection and inference in multivariable nonparametric models under mixing conditions
Carlos Misael Madrid Padilla, Haotian Xu, Daren Wang +2
This paper studies multivariate nonparametric change point localization and inference problems. The data consists of a multivariate time series with potentially short range depende…
Deep Attention-Based Alignment Network for Melody Generation from Incomplete Lyrics
Gurunath Reddy M, Zhe Zhang, Yi Yu +3
We propose a deep attention-based alignment network, which aims to automatically predict lyrics and melody with given incomplete lyrics as input in a way similar to the music creat…
Phase-Shifting Coder: Predicting Accurate Orientation in Oriented Object Detection
Yi Yu, Feipeng Da
With the vigorous development of computer vision, oriented object detection has gradually been featured. In this paper, a novel differentiable angle coder named phase-shifting code…
SoccerNet 2022 Challenges Results
Silvio Giancola, Anthony Cioppa, Adrien Deliège +91
The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team. In 2022, the challenges were composed of 6 vision-based tasks:…
Playing Technique Detection by Fusing Note Onset Information in Guzheng Performance
Dichucheng Li, Yulun Wu, Qinyu Li +4
The Guzheng is a kind of traditional Chinese instruments with diverse playing techniques. Instrument playing techniques (IPT) play an important role in musical performance. However…
HPPNet: Modeling the Harmonic Structure and Pitch Invariance in Piano Transcription
Weixing Wei, Peilin Li, Yi Yu +1
While neural network models are making significant progress in piano transcription, they are becoming more resource-consuming due to requiring larger model size and more computing…
Design and Analysis of Robust Resilient Diffusion over Multi-Task Networks Against Byzantine Attacks
Tao Yu, Rodrigo C. de Lamare, Yi Yu
This paper studies distributed diffusion adaptation over clustered multi-task networks in the presence of impulsive interferences and Byzantine attacks. We develop a robust resilie…
HarmoF0: Logarithmic Scale Dilated Convolution For Pitch Estimation
Weixing Wei, Peilin Li, Yi Yu +1
Sounds, especially music, contain various harmonic components scattered in the frequency dimension. It is difficult for normal convolutional neural networks to observe these overto…
Dynamic and heterogeneous treatment effects with abrupt changes
Oscar Hernan Madrid Padilla, Yi Yu
From personalised medicine to targeted advertising, it is an inherent task to provide a sequence of decisions with historical covariates and outcome data. This requires understandi…
Change-point Detection for Sparse and Dense Functional Data in General Dimensions
Carlos Misael Madrid Padilla, Daren Wang, Zifeng Zhao +1
We study the problem of change-point detection and localisation for functional data sequentially observed on a general d-dimensional space, where we allow the functional curves to…
Network change point localisation under local differential privacy
Mengchu Li, Thomas B. Berrett, Yi Yu
Network data are ubiquitous in our daily life, containing rich but often sensitive information. In this paper, we expand the current static analysis of privatised networks to a dyn…
Lightweight Bimodal Network for Single-Image Super-Resolution via Symmetric CNN and Recursive Transformer
Guangwei Gao, Zhengxue Wang, Juncheng Li +3
Single-image super-resolution (SISR) has achieved significant breakthroughs with the development of deep learning. However, these methods are difficult to be applied in real-world…
Recent Advances and Challenges in Deep Audio-Visual Correlation Learning
Luís Vilaça, Yi Yu, Paula Viana
Audio-visual correlation learning aims to capture essential correspondences and understand natural phenomena between audio and video. With the rapid growth of deep learning, an inc…