Search Results for author: Qiang Fang

Found 7 papers, 3 papers with code

Continual Learning through Networks Splitting and Merging with Dreaming-Meta-Weighted Model Fusion

no code implementations12 Dec 2023 Yi Sun, Xin Xu, Jian Li, Guanglei Xie, Yifei Shi, Qiang Fang

Differently, we propose a continual learning method named Split2MetaFusion which can achieve better trade-off by employing a two-stage strategy: splitting and meta-weighted fusion.

Continual Learning

Dynamic Brain Behaviours in Stroke: A Longitudinal Investigation Based on fMRI Analysis

no code implementations28 Nov 2023 Kaichao Wu, Beth Jelfs, Katrina Neville, Qiang Fang

Notably, when predicting post-stroke recovery status, whole-brain recruitment emerged as a robust and reliable feature, achieving an AUC of 85. 93 Significance: Our study offers a comprehensive depiction of dynamic brain behavior in the post-ischemic-stroke brain, with a focus on longitudinal changes concurrent with functional recovery.

Adaptive Dense Pseudo Label Selection for Semi-supervised Oriented Object Detection

no code implementations21 Nov 2023 Tong Zhao, Qiang Fang, Shuohao Shi, Xin Xu

However, for the multi-oriented and dense objects that are common in aerial scenes, existing dense pseudo-label selection methods are inefficient and impede the performance in semi-supervised oriented object detection.

Object object-detection +4

Residual-guided Personalized Speech Synthesis based on Face Image

no code implementations1 Apr 2022 Jianrong Wang, Zixuan Wang, Xiaosheng Hu, XueWei Li, Qiang Fang, Li Liu

Experimental results show that the speech synthesized by our model is comparable to the personalized speech synthesized by training a large amount of audio data in previous works.

Speech Synthesis

Solving ESL Sentence Completion Questions via Pre-trained Neural Language Models

1 code implementation15 Jul 2021 Qiongqiong Liu, Tianqiao Liu, Jiafu Zhao, Qiang Fang, Wenbiao Ding, Zhongqin Wu, Feng Xia, Jiliang Tang, Zitao Liu

Sentence completion (SC) questions present a sentence with one or more blanks that need to be filled in, three to five possible words or phrases as options.

Sentence Sentence Completion

Three-Dimensional Lip Motion Network for Text-Independent Speaker Recognition

1 code implementation13 Oct 2020 Jianrong Wang, Tong Wu, Shanyu Wang, Mei Yu, Qiang Fang, Ju Zhang, Li Liu

To this end, in this work, we present a novel end-to-end 3D lip motion Network (3LMNet) by utilizing the sentence-level 3D lip motion (S3DLM) to recognize speakers in both the text-independent and text-dependent contexts.

Sentence Speaker Recognition +1

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