no code implementations • 28 Dec 2020 • Hang Chen, Jun Du, Yu Hu, Li-Rong Dai, Chin-Hui Lee, Bao-Cai Yin
In this paper, we propose a novel deep learning architecture to improving word-level lip-reading.
no code implementations • 29 Sep 2020 • Xin Tian, Ke Xu, Xin Yang, Bao-Cai Yin, Rynson W. H. Lau
Inspired by this insight, we propose to use class and subitizing labels as weak supervision for the SID problem.
no code implementations • 21 Sep 2020 • Hang Chen, Jun Du, Yu Hu, Li-Rong Dai, Bao-Cai Yin, Chin-Hui Lee
We first extract visual embedding from lip frames using a pre-trained phone or articulation place recognizer for visual-only EASE (VEASE).
no code implementations • 10 Aug 2020 • Hongchen Tan, Yuhao Bian, Huasheng Wang, Xiuping Liu, Bao-Cai Yin
The CBDB-Net contains two novel designs: the Consecutive Batch DropBlock Module (CBDBM) and the Elastic Loss (EL).
no code implementations • 18 Apr 2020 • Xueyan Yin, Genze Wu, Jinze Wei, Yanming Shen, Heng Qi, Bao-Cai Yin
The purpose of this paper is to provide a comprehensive survey on deep learning-based approaches in traffic prediction from multiple perspectives.
1 code implementation • ICCV 2019 • Xin Yang, Haiyang Mei, Ke Xu, Xiaopeng Wei, Bao-Cai Yin, Rynson W. H. Lau
To the best of our knowledge, this is the first work to address the mirror segmentation problem with a computational approach.
Ranked #5 on
Image Segmentation
on PMD
no code implementations • 23 Aug 2019 • Xin Yang, Haiyang Mei, Jiqing Zhang, Ke Xu, Bao-Cai Yin, Qiang Zhang, Xiaopeng Wei
Recently, single-image super-resolution has made great progress owing to the development of deep convolutional neural networks (CNNs).
no code implementations • 8 May 2018 • Xin Yang, Yuanbo Wang, Yaru Wang, Bao-Cai Yin, Qiang Zhang, Xiaopeng Wei, Hongbo Fu
Inspired by the recent advance of image-based object reconstruction using deep learning, we present an active reconstruction model using a guided view planner.
1 code implementation • ICCV 2017 • Pingping Zhang, Dong Wang, Huchuan Lu, Hongyu Wang, Bao-Cai Yin
In this paper, we propose a novel deep fully convolutional network model for accurate salient object detection.
Ranked #5 on
Saliency Detection
on DUT-OMRON
no code implementations • 3 Jul 2017 • Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Bao-Cai Yin
Under this expression, the projection base of the model is based on the tensor CandeComp/PARAFAC (CP) decomposition and the number of free parameters in the model only grows linearly with the number of modes rather than exponentially.
no code implementations • CVPR 2017 • Lijun Wang, Huchuan Lu, Yifan Wang, Mengyang Feng, Dong Wang, Bao-Cai Yin, Xiang Ruan
In the second stage, FIN is fine-tuned with its predicted saliency maps as ground truth.
no code implementations • 17 May 2017 • Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Bao-Cai Yin
Subspace data representation has recently become a common practice in many computer vision tasks.
no code implementations • 27 Apr 2017 • Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Haoran Chen, Bao-Cai Yin
Learning on Grassmann manifold has become popular in many computer vision tasks, with the strong capability to extract discriminative information for imagesets and videos.
no code implementations • 21 Sep 2016 • Haoran Chen, Yanfeng Sun, Junbin Gao, Yongli Hu, Bao-Cai Yin
Partial least squares regression (PLSR) has been a popular technique to explore the linear relationship between two datasets.
no code implementations • 21 Sep 2016 • Simeng Liu, Yanfeng Sun, Yongli Hu, Junbin Gao, Bao-Cai Yin
Restricted Boltzmann Machine (RBM) is a particular type of random neural network models modeling vector data based on the assumption of Bernoulli distribution.
no code implementations • 13 Jun 2016 • Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Bao-Cai Yin
In multi-camera video surveillance, it is challenging to represent videos from different cameras properly and fuse them efficiently for specific applications such as human activity recognition and clustering.
no code implementations • CVPR 2016 • Na Qi, Yunhui Shi, Xiaoyan Sun, Bao-Cai Yin
In this paper, we propose a new sparse model TenSR based on tensor for MD data representation along with the corresponding MD sparse coding and MD dictionary learning algorithms.
no code implementations • 21 Jan 2016 • Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Bao-Cai Yin
As a significant subspace clustering method, low rank representation (LRR) has attracted great attention in recent years.
no code implementations • 9 Jan 2016 • Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Bao-Cai Yin
The novelty of this paper is to generalize LRR on Euclidean space onto an LRR model on Grassmann manifold in a uniform kernelized LRR framework.
no code implementations • 7 Jan 2016 • Xinglin Piao, Yongli Hu, Yanfeng Sun, Junbin Gao, Bao-Cai Yin
In a sparse representation based recognition scheme, it is critical to learn a desired dictionary, aiming both good representational power and discriminative performance.
no code implementations • 2 Jan 2016 • Xinglin Piao, Yongli Hu, Junbin Gao, Yanfeng Sun, Zhouchen Lin, Bao-Cai Yin
A new submodule clustering method via sparse and low-rank representation for multi-way data is proposed in this paper.
no code implementations • 8 Apr 2015 • Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Bao-Cai Yin
One of its successful applications is subspace clustering which means data are clustered according to the subspaces they belong to.
no code implementations • 8 Apr 2015 • Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Bao-Cai Yin
Many computer vision algorithms employ subspace models to represent data.
no code implementations • 7 Apr 2015 • Yanfeng Sun, Junbin Gao, Xia Hong, Bamdev Mishra, Bao-Cai Yin
In contrast to existing techniques, we propose a new clustering algorithm that alternates between different modes of the proposed heterogeneous tensor model.