Search Results for author: Pingping Zhang

Found 44 papers, 20 papers with code

TOP-ReID: Multi-spectral Object Re-Identification with Token Permutation

1 code implementation15 Dec 2023 Yuhao Wang, Xuehu Liu, Pingping Zhang, Hu Lu, Zhengzheng Tu, Huchuan Lu

In addition, most of current Transformer-based ReID methods only utilize the global feature of class tokens to achieve the holistic retrieval, ignoring the local discriminative ones.

TF-CLIP: Learning Text-free CLIP for Video-based Person Re-Identification

1 code implementation15 Dec 2023 Chenyang Yu, Xuehu Liu, Yingquan Wang, Pingping Zhang, Huchuan Lu

Technically, TMC allows the frame-level memories in a sequence to communicate with each other, and to extract temporal information based on the relations within the sequence.

Cross-Modal Retrieval Video-Based Person Re-Identification

Part Representation Learning with Teacher-Student Decoder for Occluded Person Re-identification

1 code implementation15 Dec 2023 Shang Gao, Chenyang Yu, Pingping Zhang, Huchuan Lu

In addition, existing occluded person ReID benchmarks utilize occluded samples as queries, which will amplify the role of alleviating occlusion interference and underestimate the impact of the feature absence issue.

Human Parsing Long-range modeling +2

SRSNetwork: Siamese Reconstruction-Segmentation Networks based on Dynamic-Parameter Convolution

1 code implementation4 Dec 2023 Bingkun Nian, Fenghe Tang, Jianrui Ding, Pingping Zhang, Jie Yang, S. Kevin Zhou, Wei Liu

In this paper, we present a high-performance deep neural network for weak target image segmentation, including medical image segmentation and infrared image segmentation.

Image Segmentation Medical Image Segmentation +2

TransY-Net:Learning Fully Transformer Networks for Change Detection of Remote Sensing Images

no code implementations22 Oct 2023 Tianyu Yan, Zifu Wan, Pingping Zhang, Gong Cheng, Huchuan Lu

To relieve these issues, in this work we propose a novel Transformer-based learning framework named TransY-Net for remote sensing image CD, which improves the feature extraction from a global view and combines multi-level visual features in a pyramid manner.

Change Detection

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

1 code implementation7 Aug 2023 Xinhao Deng, Pingping Zhang, Wei Liu, Huchuan Lu

To address above issues, in this work, we first propose a new HRS10K dataset, which contains 10, 500 high-quality annotated images at 2K-8K resolution.

object-detection Object Detection +1

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

no code implementations7 Aug 2023 Xuehu Liu, Pingping Zhang, Huchuan Lu

Meanwhile, to extract short-term representations, we propose a Bi-direction Motion Estimator (BME), in which reciprocal motion information is efficiently extracted from consecutive frames.

Representation Learning Video-Based Person Re-Identification

Geometric Prior Based Deep Human Point Cloud Geometry Compression

no code implementations2 May 2023 Xinju Wu, Pingping Zhang, Meng Wang, Peilin Chen, Shiqi Wang, Sam Kwong

The emergence of digital avatars has raised an exponential increase in the demand for human point clouds with realistic and intricate details.

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

1 code implementation27 Apr 2023 Xuehu Liu, Chenyang Yu, Pingping Zhang, Huchuan Lu

Further, in spatial, we propose a Complementary Content Attention (CCA) to take advantages of the coupled structure and guide independent features for spatial complementary learning.

Video-Based Person Re-Identification

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

1 code implementation1 Dec 2022 Hu Lu, Xuezhang Zou, Pingping Zhang

Visible-Infrared Person Re-Identification (VI-ReID) is a challenging retrieval task under complex modality changes.

Person Re-Identification Retrieval

Fully Transformer Network for Change Detection of Remote Sensing Images

1 code implementation3 Oct 2022 Tianyu Yan, Zifu Wan, Pingping Zhang

Then, we introduce a pyramid structure to aggregate multi-level visual features from Transformers for feature enhancement.

Change Detection

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

no code implementations20 Feb 2022 Pingping Zhang, Xu Wang, Linwei Zhu, Yun Zhang, Shiqi Wang, Sam Kwong

In this paper, we propose a distortion-aware loop filtering model to improve the performance of intra coding for 360$^o$ videos projected via equirectangular projection (ERP) format.

Image Reconstruction

URetinex-Net: Retinex-Based Deep Unfolding Network for Low-Light Image Enhancement

1 code implementation CVPR 2022 Wenhui Wu, Jian Weng, Pingping Zhang, Xu Wang, Wenhan Yang, Jianmin Jiang

Retinex model-based methods have shown to be effective in layer-wise manipulation with well-designed priors for low-light image enhancement.

Low-Light Image Enhancement

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

no code implementations3 Dec 2021 Lianjie Jia, Chenyang Yu, Xiehao Ye, Tianyu Yan, Yinjie Lei, Pingping Zhang

To generate high-quality pseudo-labels and mitigate the impact of clustering errors, we propose a novel clustering relationship modeling framework for unsupervised person Re-ID.

Clustering Contrastive Learning +1

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

no code implementations5 Aug 2021 Duo Peng, Yinjie Lei, Lingqiao Liu, Pingping Zhang, Jun Liu

In this work, we propose two simple yet effective texture randomization mechanisms, Global Texture Randomization (GTR) and Local Texture Randomization (LTR), for Domain Generalization based SRSS.

Domain Generalization Segmentation +1

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

1 code implementation15 Jul 2021 Wei Liu, Pingping Zhang, Yinjie Lei, Xiaolin Huang, Jie Yang, Michael Ng

The effectiveness and superior performance of our approach are validated through comprehensive experiments in a range of applications.

image smoothing

HAT: Hierarchical Aggregation Transformers for Person Re-identification

1 code implementation13 Jul 2021 Guowen Zhang, Pingping Zhang, Jinqing Qi, Huchuan Lu

In this work, we take advantages of both CNNs and Transformers, and propose a novel learning framework named Hierarchical Aggregation Transformer (HAT) for image-based person Re-ID with high performance.

Person Re-Identification Person Retrieval +1

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

no code implementations5 Apr 2021 Xuehu Liu, Pingping Zhang, Chenyang Yu, Huchuan Lu, Xuesheng Qian, Xiaoyun Yang

To capture richer perceptions and extract more comprehensive video representations, in this paper we propose a novel framework named Trigeminal Transformers (TMT) for video-based person Re-ID.

Video-Based Person Re-Identification

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

1 code implementation CVPR 2021 Xuehu Liu, Pingping Zhang, Chenyang Yu, Huchuan Lu, Xiaoyun Yang

Specifically, we first propose a Global-guided Correlation Estimation (GCE) to generate feature correlation maps of local features and global features, which help to localize the high- and low-correlation regions for identifying the same person.

Video-Based Person Re-Identification

Hierarchical Paired Channel Fusion Network for Street Scene Change Detection

no code implementations19 Oct 2020 Yinjie Lei, Duo Peng, Pingping Zhang, Qiuhong Ke, Haifeng Li

Based on the MPFL strategy, our framework achieves a novel approach to adapt to the scale and location diversities of the scene change regions.

Change Detection Scene Change Detection

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

no code implementations ECCV 2020 Yan Liu, Lingqiao Liu, Peng Wang, Pingping Zhang, Yinjie Lei

Most existing crowd counting systems rely on the availability of the object location annotation which can be expensive to obtain.

Crowd Counting

Towards Using Count-level Weak Supervision for Crowd Counting

no code implementations29 Feb 2020 Yinjie Lei, Yan Liu, Pingping Zhang, Lingqiao Liu

Most existing crowd counting methods require object location-level annotation, i. e., placing a dot at the center of an object.

Crowd Counting

When Relation Networks meet GANs: Relation GANs with Triplet Loss

1 code implementation24 Feb 2020 Runmin Wu, Kunyao Zhang, Lijun Wang, Yue Wang, Pingping Zhang, Huchuan Lu, Yizhou Yu

Though recent research has achieved remarkable progress in generating realistic images with generative adversarial networks (GANs), the lack of training stability is still a lingering concern of most GANs, especially on high-resolution inputs and complex datasets.

Conditional Image Generation Relation +2

Improving Distant Supervised Relation Extraction by Dynamic Neural Network

no code implementations15 Nov 2019 Yanjie Gou, Yinjie Lei, Lingqiao Liu, Pingping Zhang, Xi Peng

To account for this style shift, the model should adjust its parameters in accordance with entity types.

Relation Relation Extraction

Deep Multiphase Level Set for Scene Parsing

no code implementations8 Oct 2019 Pingping Zhang, Wei Liu, Yinjie Lei, Hongyu Wang, Huchuan Lu

The proposed method consists of three modules, i. e., recurrent FCNs, adaptive multiphase level set, and deeply supervised learning.

Image Segmentation Scene Parsing +1

Towards High-Resolution Salient Object Detection

1 code implementation ICCV 2019 Yi Zeng, Pingping Zhang, Jianming Zhang, Zhe Lin, Huchuan Lu

This paper pushes forward high-resolution saliency detection, and contributes a new dataset, named High-Resolution Salient Object Detection (HRSOD).

Ranked #8 on RGB Salient Object Detection on DAVIS-S (using extra training data)

Object object-detection +4

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

no code implementations ICCV 2019 Pingping Zhang, Wei Liu, Yinjie Lei, Huchuan Lu, Xiaoyun Yang

To address these issues, in this work we propose a novel deep learning framework, named Cascaded Context Pyramid Network (CCPNet), to jointly infer the occupancy and semantic labels of a volumetric 3D scene from a single depth image.

Ranked #5 on 3D Semantic Scene Completion on NYUv2 (using extra training data)

3D Semantic Scene Completion

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

1 code implementation23 Jul 2019 Wei Liu, Pingping Zhang, Yinjie Lei, Xiaolin Huang, Jie Yang, Ian Reid

In this paper, a non-convex non-smooth optimization framework is proposed to achieve diverse smoothing natures where even contradictive smoothing behaviors can be achieved.

image smoothing

Salient Object Detection with Lossless Feature Reflection and Weighted Structural Loss

no code implementations21 Jan 2019 Pingping Zhang, Wei Liu, Huchuan Lu, Chunhua Shen

Inspired by the intrinsic reflection of natural images, in this paper we propose a novel feature learning framework for large-scale salient object detection.

Object object-detection +3

Boundary-guided Feature Aggregation Network for Salient Object Detection

no code implementations28 Sep 2018 Yunzhi Zhuge, Pingping Zhang, Huchuan Lu

Fully convolutional networks (FCN) has significantly improved the performance of many pixel-labeling tasks, such as semantic segmentation and depth estimation.

Depth Estimation Object +4

Troy: Give Attention to Saliency and for Saliency

no code implementations4 Aug 2018 Pingping Zhang, Huchuan Lu, Chunhua Shen

In addition, our work has text overlap with arXiv:1804. 06242, arXiv:1705. 00938 by other authors.

HyperFusion-Net: Densely Reflective Fusion for Salient Object Detection

no code implementations14 Apr 2018 Pingping Zhang, Huchuan Lu, Chunhua Shen

Salient object detection (SOD), which aims to find the most important region of interest and segment the relevant object/item in that area, is an important yet challenging vision task.

object-detection RGB Salient Object Detection +1

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

no code implementations22 Feb 2018 Pingping Zhang, Wei Liu, Dong Wang, Yinjie Lei, Hongyu Wang, Chunhua Shen, Huchuan Lu

Extensive experiments demonstrate that the proposed algorithm achieves competitive performance in both saliency detection and visual tracking, especially outperforming other related trackers on the non-rigid object tracking datasets.

Object Object Tracking +2

Video Person Re-identification by Temporal Residual Learning

no code implementations22 Feb 2018 Ju Dai, Pingping Zhang, Huchuan Lu, Hongyu Wang

In this paper, we propose a novel feature learning framework for video person re-identification (re-ID).

Video-Based Person Re-Identification

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

no code implementations20 Feb 2018 Fei Li, Pingping Zhang, Huchuan Lu

Band selection is a direct and effective method to remove redundant information and reduce the spectral dimension for decreasing computational complexity and avoiding the curse of dimensionality.

Dictionary Learning General Classification +1

Salient Object Detection by Lossless Feature Reflection

no code implementations19 Feb 2018 Pingping Zhang, Wei Liu, Huchuan Lu, Chunhua Shen

Inspired by the intrinsic reflection of natural images, in this paper we propose a novel feature learning framework for large-scale salient object detection.

Object object-detection +3

Robustness of classification ability of spiking neural networks

no code implementations30 Jan 2018 Jie Yang, Pingping Zhang, Yan Liu

The numerical results show that there is not significant reduction in the classification ability of the network if the input signals are subject to sinusoidal and Gaussian perturbations.

Classification General Classification

A Stagewise Refinement Model for Detecting Salient Objects in Images

1 code implementation ICCV 2017 Tiantian Wang, Ali Borji, Lihe Zhang, Pingping Zhang, Huchuan Lu

To remedy this problem, here we propose to augment feedforward neural networks with a novel pyramid pooling module and a multi-stage refinement mechanism for saliency detection.

Ranked #11 on RGB Salient Object Detection on DUTS-TE (F-measure metric)

object-detection RGB Salient Object Detection +2

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

1 code implementation ICCV 2017 Pingping Zhang, Dong Wang, Huchuan Lu, Hongyu Wang, Xiang Ruan

In addition, to achieve accurate boundary inference and semantic enhancement, edge-aware feature maps in low-level layers and the predicted results of low resolution features are recursively embedded into the learning framework.

Ranked #17 on RGB Salient Object Detection on DUTS-TE (F-measure metric)

Object object-detection +2

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