Pingping Zhang

research

∙ 08/07/2023

Recurrent Multi-scale Transformer for High-Resolution Salient Object Detection

Salient Object Detection (SOD) aims to identify and segment the most con...

0 Xinhao Deng, et al. ∙

research

∙ 08/07/2023

Video-based Person Re-identification with Long Short-Term Representation Learning

Video-based person Re-Identification (V-ReID) aims to retrieve specific ...

0 Xuehu Liu, et al. ∙

research

∙ 05/02/2023

Geometric Prior Based Deep Human Point Cloud Geometry Compression

The emergence of digital avatars has raised an exponential increase in t...

0 Xinju Wu, et al. ∙

research

∙ 04/27/2023

Deeply-Coupled Convolution-Transformer with Spatial-temporal Complementary Learning for Video-based Person Re-identification

Advanced deep Convolutional Neural Networks (CNNs) have shown great succ...

0 Xuehu Liu, et al. ∙

research

∙ 03/01/2023

Double-RIS Aided Multi-user MIMO Communications: Common Reflection Pattern and Joint Beamforming Design

Reconfigurable intelligent surface (RIS) has entered the public consciou...

0 Pingping Zhang, et al. ∙

research

∙ 12/01/2022

Learning Progressive Modality-shared Transformers for Effective Visible-Infrared Person Re-identification

Visible-Infrared Person Re-Identification (VI-ReID) is a challenging ret...

0 Hu Lu, et al. ∙

research

∙ 10/03/2022

Fully Transformer Network for Change Detection of Remote Sensing Images

Recently, change detection (CD) of remote sensing images have achieved g...

0 Tianyu Yan, et al. ∙

research

∙ 02/20/2022

Distortion-Aware Loop Filtering of Intra 360^o Video Coding with Equirectangular Projection

In this paper, we propose a distortion-aware loop filtering model to imp...

0 Pingping Zhang, et al. ∙

research

∙ 12/03/2021

Mind Your Clever Neighbours: Unsupervised Person Re-identification via Adaptive Clustering Relationship Modeling

Unsupervised person re-identification (Re-ID) attracts increasing attent...

0 Lianjie Jia, et al. ∙

research

∙ 08/05/2021

Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentation

Semantic segmentation is a crucial image understanding task, where each ...

2 Duo Peng, et al. ∙

research

∙ 07/30/2021

Sparse-to-dense Feature Matching: Intra and Inter domain Cross-modal Learning in Domain Adaptation for 3D Semantic Segmentation

Domain adaptation is critical for success when confronting with the lack...

0 Duo Peng, et al. ∙

research

∙ 07/13/2021

HAT: Hierarchical Aggregation Transformers for Person Re-identification

Recently, with the advance of deep Convolutional Neural Networks (CNNs),...

11 Guowen Zhang, et al. ∙

research

∙ 04/05/2021

A Video Is Worth Three Views: Trigeminal Transformers for Video-based Person Re-identification

Video-based person re-identification (Re-ID) aims to retrieve video sequ...

0 Xuehu Liu, et al. ∙

research

∙ 03/07/2021

Watching You: Global-guided Reciprocal Learning for Video-based Person Re-identification

Video-based person re-identification (Re-ID) aims to automatically retri...

0 Xuehu Liu, et al. ∙

research

∙ 10/19/2020

Hierarchical Paired Channel Fusion Network for Street Scene Change Detection

Street Scene Change Detection (SSCD) aims to locate the changed regions ...

0 Yinjie Lei, et al. ∙

research

∙ 07/07/2020

Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks

Most existing crowd counting systems rely on the availability of the obj...

7 Yan Liu, et al. ∙

research

∙ 03/17/2020

Real-time Image Smoothing via Iterative Least Squares

Edge-preserving image smoothing is a fundamental procedure for many comp...

0 Wei Liu, et al. ∙

research

∙ 02/29/2020

Towards Using Count-level Weak Supervision for Crowd Counting

Most existing crowd counting methods require object location-level annot...

0 Yinjie Lei, et al. ∙

research

∙ 11/15/2019

DNNRE: A Dynamic Neural Network for Distant Supervised Relation Extraction

Distant Supervised Relation Extraction (DSRE) is usually formulated as a...

0 Yanjie Gou, et al. ∙

research

∙ 10/08/2019

Deep Multiphase Level Set for Scene Parsing

Recently, Fully Convolutional Network (FCN) seems to be the go-to archit...

0 Pingping Zhang, et al. ∙

research

∙ 08/20/2019

Towards High-Resolution Salient Object Detection

Deep neural network based methods have made a significant breakthrough i...

17 Yi Zeng, et al. ∙

research

∙ 08/01/2019

Cascaded Context Pyramid for Full-Resolution 3D Semantic Scene Completion

Semantic Scene Completion (SSC) aims to simultaneously predict the volum...

2 Pingping Zhang, et al. ∙

research

∙ 07/23/2019

A Generalized Framework for Edge-preserving and Structure-preserving Image Smoothing

Image smoothing is a fundamental procedure in applications of both compu...

2 Wei Liu, et al. ∙

research

∙ 03/01/2019

A Sketch Based 3D Shape Retrieval Approach Based on Efficient Deep Point-to-Subspace Metric Learning

One key issue in managing a large scale 3D shape dataset is to identify ...

0 Yinjie Lei, et al. ∙

research

∙ 01/21/2019

Salient Object Detection with Lossless Feature Reflection and Weighted Structural Loss

Salient object detection (SOD), which aims to identify and locate the mo...

0 Pingping Zhang, et al. ∙

research

∙ 12/18/2018

Embedding Bilateral Filter in Least Squares for Efficient Edge-preserving Image Smoothing

Edge-preserving smoothing is a fundamental procedure for many computer v...

0 Wei Liu, et al. ∙

research

∙ 09/28/2018

Boundary-guided Feature Aggregation Network for Salient Object Detection

Fully convolutional networks (FCN) has significantly improved the perfor...

0 Yunzhi Zhuge, et al. ∙

research

∙ 08/04/2018

Troy: Give Attention to Saliency and for Saliency

Saliency detection or foreground segmentation is a fundamental and impor...

10 Pingping Zhang, et al. ∙

research

∙ 04/14/2018

HyperFusion-Net: Densely Reflective Fusion for Salient Object Detection

Salient object detection (SOD), which aims to find the most important re...

0 Pingping Zhang, et al. ∙

research

∙ 02/22/2018

Non-rigid Object Tracking via Deep Multi-scale Spatial-Temporal Discriminative Saliency Maps

In this paper we propose an effective non-rigid object tracking method b...

0 Pingping Zhang, et al. ∙

research

∙ 02/22/2018

Video Person Re-identification by Temporal Residual Learning

In this paper, we propose a novel feature learning framework for video p...

0 Ju Dai, et al. ∙

research

∙ 02/20/2018

Unsupervised Band Selection of Hyperspectral Images via Multi-dictionary Sparse Representation

Hyperspectral images have far more spectral bands than ordinary multispe...

0 Fei Li, et al. ∙

research

∙ 02/20/2018

Agile Amulet: Real-Time Salient Object Detection with Contextual Attention

This paper proposes an Agile Aggregating Multi-Level feaTure framework (...

0 Pingping Zhang, et al. ∙

research

∙ 02/19/2018

Salient Object Detection by Lossless Feature Reflection

Salient object detection, which aims to identify and locate the most sal...

0 Pingping Zhang, et al. ∙

research

∙ 01/30/2018

Robustness of classification ability of spiking neural networks

It is well-known that the robustness of artificial neural networks (ANNs...

0 Jie Yang, et al. ∙

research

∙ 08/07/2017

Learning Uncertain Convolutional Features for Accurate Saliency Detection

Deep convolutional neural networks (CNNs) have delivered superior perfor...

0 Pingping Zhang, et al. ∙

research

∙ 08/07/2017

Amulet: Aggregating Multi-level Convolutional Features for Salient Object Detection

Fully convolutional neural networks (FCNs) have shown outstanding perfor...

0 Pingping Zhang, et al. ∙

Pingping Zhang

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