Search Results for author: Bao-Cai Yin

Found 25 papers, 2 papers with code

Lip-reading with Hierarchical Pyramidal Convolution and Self-Attention

no code implementations28 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.

Lip Reading

Weakly-supervised Salient Instance Detection

no code implementations29 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.

Boundary Detection Object Localization +1

Correlating Subword Articulation with Lip Shapes for Embedding Aware Audio-Visual Speech Enhancement

no code implementations21 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).

Speech Enhancement Speech Quality

MHSA-Net: Multi-Head Self-Attention Network for Occluded Person Re-Identification

1 code implementation10 Aug 2020 Hongchen Tan, Xiuping Liu, Shengjing Tian, Bao-Cai Yin, Xin Li

This paper presents a novel person re-identification model, named Multi-Head Self-Attention Network (MHSA-Net), to prune unimportant information and capture key local information from person images.

Person Re-Identification

Incomplete Descriptor Mining with Elastic Loss for Person Re-Identification

no code implementations10 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).

Image Retrieval Person Re-Identification

Deep Learning on Traffic Prediction: Methods, Analysis and Future Directions

no code implementations18 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.

Traffic Prediction

Where Is My Mirror?

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.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors

no code implementations23 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).

Image Super-Resolution

Active Object Reconstruction Using a Guided View Planner

no code implementations8 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.

Object Reconstruction

Vectorial Dimension Reduction for Tensors Based on Bayesian Inference

no code implementations3 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.

Bayesian Inference Dimensionality Reduction

Localized LRR on Grassmann Manifolds: An Extrinsic View

no code implementations17 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.

Locality Preserving Projections for Grassmann manifold

no code implementations27 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.

Dimensionality Reduction

Matrix Variate RBM Model with Gaussian Distributions

no code implementations21 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.

General Classification Image Classification

Laplacian LRR on Product Grassmann Manifolds for Human Activity Clustering in Multi-Camera Video Surveillance

no code implementations13 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.

Activity Recognition

TenSR: Multi-Dimensional Tensor Sparse Representation

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.

Dictionary Learning

Partial Sum Minimization of Singular Values Representation on Grassmann Manifolds

no code implementations21 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.

Kernelized LRR on Grassmann Manifolds for Subspace Clustering

no code implementations9 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.

Block-Diagonal Sparse Representation by Learning a Linear Combination Dictionary for Recognition

no code implementations7 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.

Dictionary Learning

Tensor Sparse and Low-Rank based Submodule Clustering Method for Multi-way Data

no code implementations2 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.

Kernelized Low Rank Representation on Grassmann Manifolds

no code implementations8 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.

Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization

no code implementations7 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.

Tensor Decomposition

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