58 citations · 230 across the 37 of their papers we have counts for
12 papers · 1 filter
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…
DEEPCHORUS: A Hybrid Model of Multi-scale Convolution and Self-attention for Chorus Detection
Qiqi He, Xiaoheng Sun, Yi Yu +1
Chorus detection is a challenging problem in musical signal processing as the chorus often repeats more than once in popular songs, usually with rich instruments and complex rhythm…