no code implementations • 21 Apr 2024 • Songlin Dong, Yingjie Chen, Yuhang He, Yuhan Jin, Alex C. Kot, Yihong Gong
Online task-free continual learning (OTFCL) is a more challenging variant of continual learning which emphasizes the gradual shift of task boundaries and learns in an online mode.
no code implementations • 11 Mar 2024 • Xinyuan Gao, Songlin Dong, Yuhang He, Xing Wei, Yihong Gong
Besides, to address the classifier bias towards the new classes, we propose a novel approach to generate the pseudo-features to correct the classifier.
no code implementations • 5 Mar 2024 • Xiaonan Xu, Yichao Wu, Penghao Liang, Yuhang He, Han Wang
With the boom of e-commerce and web applications, recommender systems have become an important part of our daily lives, providing personalized recommendations based on the user's preferences.
no code implementations • 5 Feb 2024 • Yuanxing Duan, Fangyin Wei, Qiyu Dai, Yuhang He, Wenzheng Chen, Baoquan Chen
We consider the problem of novel view synthesis (NVS) for dynamic scenes.
1 code implementation • NeurIPS 2023 • Jia-Xing Zhong, Ta-Ying Cheng, Yuhang He, Kai Lu, Kaichen Zhou, Andrew Markham, Niki Trigoni
A truly generalizable approach to rigid segmentation and motion estimation is fundamental to 3D understanding of articulated objects and moving scenes.
no code implementations • 28 May 2023 • Yongchao Huang, Yuhang He, Hong Ge
In this work, we introduce a novel framework which combines physics and machine learning methods to analyse acoustic signals.
1 code implementation • ICCV 2023 • Songlin Dong, Haoyu Luo, Yuhang He, Xing Wei, Yihong Gong
Current class-incremental learning research mainly focuses on single-label classification tasks while multi-label class-incremental learning (MLCIL) with more practical application scenarios is rarely studied.
no code implementations • CVPR 2023 • Xinyuan Gao, Yuhang He, Songlin Dong, Jie Cheng, Xing Wei, Yihong Gong
Deep neural networks suffer from catastrophic forgetting in class incremental learning, where the classification accuracy of old classes drastically deteriorates when the networks learn the knowledge of new classes.
1 code implementation • 17 Apr 2022 • Yuhang He, Lin Chen, Junkun Xie, Long Chen
This motivates us to conduct a "task transfer" paradigm so that 3D semantic segmentation benefits from aggregating 2D semantic cues, albeit pose noises are contained in 2D image observations.
1 code implementation • 1 Dec 2021 • Zhuangzhuang Dai, Yuhang He, Tran Vu, Niki Trigoni, Andrew Markham
To demonstrate the utility of our approach we have collected IQ (In-phase and Quadrature components) samples from a four-element Universal Linear Array (ULA) in various Light-of-Sight (LOS) and Non-Line-of-Sight (NLOS) environments, and published the dataset.
no code implementations • 29 Sep 2021 • Yuhang He
Convolution of the proposed filterbanks with the raw waveform helps to achieve multi-scale perception in the time domain.
no code implementations • 13 Jun 2021 • Yuhang He, Niki Trigoni, Andrew Markham
Specifically, SoundDet consists of a backbone neural network and two parallel heads for temporal detection and spatial localization, respectively.
no code implementations • 31 May 2021 • Yuhang He, Wentao Yu, Jie Han, Xing Wei, Xiaopeng Hong, Yihong Gong
In this paper, we focus on the multi-object tracking (MOT) problem of automatic driving and robot navigation.