Search Results for author: Ying Zhou

Found 11 papers, 3 papers with code

Gaussian-smoothed Imbalance Data Improves Speech Emotion Recognition

no code implementations17 Feb 2023 Xuefeng Liang, Hexin Jiang, Wenxin Xu, Ying Zhou

We find the data distribution in the IEMOCAP dataset is very imbalanced, which may harm models to learn a better representation.

Data Augmentation Speech Emotion Recognition

Bidirectional Semi-supervised Dual-branch CNN for Robust 3D Reconstruction of Stereo Endoscopic Images via Adaptive Cross and Parallel Supervisions

no code implementations15 Oct 2022 Hongkuan Shi, Zhiwei Wang, Ying Zhou, Dun Li, Xin Yang, Qiang Li

The learned knowledge flows across branches along two directions: a cross direction (disparity guides distribution in ACS) and a parallel direction (disparity guides disparity in APS).

3D Reconstruction Disparity Estimation

Sequence-to-Set Generative Models

1 code implementation19 Sep 2022 Longtao Tang, Ying Zhou, Yu Yang

We present GRU2Set, which is an instance of our sequence-to-set method and employs the famous GRU model as the sequence generative model.

Tripartite: Tackle Noisy Labels by a More Precise Partition

no code implementations19 Feb 2022 Xuefeng Liang, Longshan Yao, Xingyu Liu, Ying Zhou

Instead, we propose a Tripartite solution to partition training data more precisely into three subsets: hard, noisy, and clean.

Self-Supervised Learning

Automatic Identification of the End-Diastolic and End-Systolic Cardiac Frames from Invasive Coronary Angiography Videos

no code implementations6 Oct 2021 Yinghui Meng, Minghao Dong, Xumin Dai, Haipeng Tang, Chen Zhao, Jingfeng Jiang, Shun Xu, Ying Zhou, Fubao Zhu1, Zhihui Xu, Weihua Zhou

More specifically, a detection algorithm is first used to detect the key points of coronary arteries, and then an optical flow method is employed to track the trajectories of the selected key points.

Anatomy Optical Flow Estimation

PP-LCNet: A Lightweight CPU Convolutional Neural Network

8 code implementations17 Sep 2021 Cheng Cui, Tingquan Gao, Shengyu Wei, Yuning Du, Ruoyu Guo, Shuilong Dong, Bin Lu, Ying Zhou, Xueying Lv, Qiwen Liu, Xiaoguang Hu, dianhai yu, Yanjun Ma

We propose a lightweight CPU network based on the MKLDNN acceleration strategy, named PP-LCNet, which improves the performance of lightweight models on multiple tasks.

Image Classification object-detection +2

Multi-Classifier Interactive Learning for Ambiguous Speech Emotion Recognition

no code implementations10 Dec 2020 Ying Zhou, Xuefeng Liang, Yu Gu, Yifei Yin, Longshan Yao

In recent years, speech emotion recognition technology is of great significance in industrial applications such as call centers, social robots and health care.

Speech Emotion Recognition speech-recognition +1

The Promises of Parallel Outcomes

no code implementations10 Dec 2020 Ying Zhou, Dehan Kong, Linbo Wang

In contrast to existing proposals in the literature, the roles of multiple outcomes in our key identification assumption are symmetric, hence the name parallel outcomes.

Causal Inference Methodology

Range-Doppler Information and Doppler Scattering Information in Multipulse Radar

no code implementations30 Oct 2020 Chao Shi, Dazhuan Xu, Ying Zhou, Weilin Tu

In this paper, the general radar measurement probfilems of determining range, Doppler frequency and scatteringproperties parameters are investigated from the viewpoint of Shannons information theory.

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