no code implementations • ECCV 2020 • Wenfeng Luo, Meng Yang
To fully explore the potential of the weak labels, we propose to impose separate treatments of strong and weak annotations via a strong-weak dual-branch network, which discriminates the massive inaccurate weak supervisions from those strong ones.
no code implementations • 4 Jan 2024 • JunFeng Hou, Peiyao Wang, Jincheng Zhang, Meng Yang, Minwei Feng, Jingcheng Yin
Deploying end-to-end speech recognition models with limited computing resources remains challenging, despite their impressive performance.
1 code implementation • 24 Oct 2023 • Haotian Wang, Meng Yang, Nanning Zheng
This paper investigates a unified task of monocular depth inference, which infers high-quality depth maps from all kinds of input raw data from various robots in unseen scenes.
no code implementations • 24 Aug 2023 • Ziqi Yang, Zhongyu Li, Chen Liu, Xiangde Luo, Xingguang Wang, Dou Xu, CHAOQUN LI, Xiaoying Qin, Meng Yang, Long Jin
To make full use of pixel-level and cell-level features dynamically, we propose an asymmetric co-training framework combining a deep graph convolutional network and a convolutional neural network for multi-class histopathological image classification.
no code implementations • 27 Jul 2023 • Chengrui Wei, Meng Yang, Lei He, Nanning Zheng
It has long been an ill-posed problem to predict absolute depth maps from single images in real (unseen) indoor scenes.
1 code implementation • 24 May 2023 • Ziwei He, Meng Yang, Minwei Feng, Jingcheng Yin, Xinbing Wang, Jingwen Leng, Zhouhan Lin
Many researchers have focused on designing new forms of self-attention or introducing new parameters to overcome this limitation, however a large portion of them prohibits the model to inherit weights from large pretrained models.
Ranked #1 on Open-Domain Question Answering on ELI5
no code implementations • 26 Jan 2023 • Jon McCormack, Camilo Cruz Gambardella, Nina Rajcic, Stephen James Krol, Maria Teresa Llano, Meng Yang
In recent years Generative Machine Learning systems have advanced significantly.
1 code implementation • 27 Jun 2022 • Yuchen Wang, Zhongyu Li, Xiangxiang Cui, Liangliang Zhang, Xiang Luo, Meng Yang, Shi Chang
Ultrasound examination is widely used in the clinical diagnosis of thyroid nodules (benign/malignant).
1 code implementation • CVPR 2022 • Jie Ling, Lei Liao, Meng Yang, Jia Shuai
And we exploit the pseudo labels of unlabeled samples by MFC to expand the support set for obtaining more distribution information.
no code implementations • MICCAI Workshop COMPAY 2021 • CHAOQUN LI, Yitian Zhou, TangQi Shi, Yenan Wu, Meng Yang, Zhongyu Li
Meanwhile, we present a self-ensembling model to consider the source and the target domain together as a semi-supervised segmentation task to reduce the differences of outputs.
no code implementations • NAACL 2021 • Yongjie Huang, Meng Yang
Recently Graph Neural Network (GNN) has been used as a promising tool in multi-hop question answering task.
1 code implementation • 26 Mar 2021 • Guangwei Gao, Hao Shao, Fei Wu, Meng Yang, Yi Yu
This paper pays close attention to the cross-modality visible-infrared person re-identification (VI Re-ID) task, which aims to match pedestrian samples between visible and infrared modes.
Cross-Modality Person Re-identification Knowledge Distillation +1
no code implementations • 25 Mar 2021 • Guangwei Gao, Yi Yu, Jian Yang, Guo-Jun Qi, Meng Yang
(i) To learn more robust and discriminative features, we desire to adaptively fuse the contextual features from different layers.
no code implementations • 17 Feb 2021 • Jun Quan, Meng Yang, Qiang Gan, Deyi Xiong, Yiming Liu, Yuchen Dong, Fangxin Ouyang, Jun Tian, Ruiling Deng, Yongzhi Li, Yang Yang, Daxin Jiang
Rule-based dialogue management is still the most popular solution for industrial task-oriented dialogue systems for their interpretablility.
no code implementations • 10 Dec 2020 • Mingxing Zhang, Zhengchun Zhou, Lanping Li, Zilong Liu, Meng Yang, Yanghe Feng
Sequences play an important role in many engineering applications and systems.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Peiqin Lin, Meng Yang
However, the relation between the target extraction task and the target classification task has not been well exploited.
no code implementations • 31 Mar 2019 • Hui Li, Meng Yang, Zhihui Lai, Wei-Shi Zheng, Zitong Yu
Deep part-based methods in recent literature have revealed the great potential of learning local part-level representation for pedestrian image in the task of person re-identification.
no code implementations • 3 Jan 2019 • Kyle B. Westfall, Michele Cappellari, Matthew A. Bershady, Kevin Bundy, Francesco Belfiore, Xihan Ji, David R. Law, Adam Schaefer, Shravan Shetty, Christy A. Tremonti, Renbin Yan, Brett H. Andrews, Joel R. Brownstein, Brian Cherinka, Lodovico Coccato, Niv Drory, Claudia Maraston, Taniya Parikh, José R. Sánchez-Gallego, Daniel Thomas, Anne-Marie Weijmans, Jorge Barrera-Ballesteros, Cheng Du, Daniel Goddard, Niu Li, Karen Masters, Héctor Javier Ibarra Medel, Sebastián F. Sánchez, Meng Yang, Zheng Zheng, Shuang Zhou
We summarize assessments of the precision and accuracy of our measurements as a function of signal-to-noise and other salient metrics, noting that additional analysis and discussion of emission-line diagnostics are provided in our companion paper, Belfiore et al.
Astrophysics of Galaxies
5 code implementations • ECCV 2018 • Bochao Wang, Huabin Zheng, Xiaodan Liang, Yimin Chen, Liang Lin, Meng Yang
Second, to alleviate boundary artifacts of warped clothes and make the results more realistic, we employ a Try-On Module that learns a composition mask to integrate the warped clothes and the rendered image to ensure smoothness.
no code implementations • 16 Dec 2016 • Jason Xu, Eric C. Chi, Meng Yang, Kenneth Lange
Furthermore, we show that the Euclidean norm appearing in the proximity function of the non-linear split feasibility problem can be replaced by arbitrary Bregman divergences.
2 code implementations • 7 Dec 2016 • Weiyang Liu, Yandong Wen, Zhiding Yu, Meng Yang
Cross-entropy loss together with softmax is arguably one of the most common used supervision components in convolutional neural networks (CNNs).
no code implementations • 15 Nov 2015 • Weiyang Liu, Rongmei Lin, Meng Yang
We propose a robust elastic net (REN) model for high-dimensional sparse regression and give its performance guarantees (both the statistical error bound and the optimization bound).
no code implementations • 14 Nov 2015 • Weiyang Liu, Zhiding Yu, Yandong Wen, Rongmei Lin, Meng Yang
Sparse coding with dictionary learning (DL) has shown excellent classification performance.
no code implementations • 25 Jul 2015 • Yandong Wen, Weiyang Liu, Meng Yang, Zhifeng Li
Practical face recognition has been studied in the past decades, but still remains an open challenge.
no code implementations • 2 Feb 2015 • Yandong Wen, Weiyang Liu, Meng Yang, Yuli Fu, Youjun Xiang, Rui Hu
We propose the structured occlusion coding (SOC) to address occlusion problems.
no code implementations • CVPR 2014 • Meng Yang, Dengxin Dai, Lilin Shen, Luc van Gool
Each dictionary atom is jointly learned with a latent vector, which associates this atom to the representation of different classes.
no code implementations • 11 Apr 2012 • Lei Zhang, Meng Yang, Xiangchu Feng, Yi Ma, David Zhang
It is widely believed that the l1- norm sparsity constraint on coding coefficients plays a key role in the success of SRC, while its use of all training samples to collaboratively represent the query sample is rather ignored.
no code implementations • 20 Feb 2012 • Meng Yang, Lei Zhang, Jian Yang, David Zhang
Recently the sparse representation based classification (SRC) has been proposed for robust face recognition (FR).