Search Results for author: Pengfei Wang

Found 29 papers, 12 papers with code

Modeling Entities as Semantic Points for Visual Information Extraction in the Wild

no code implementations23 Mar 2023 Zhibo Yang, Rujiao Long, Pengfei Wang, Sibo Song, Humen Zhong, Wenqing Cheng, Xiang Bai, Cong Yao

As the first contribution of this work, we curate and release a new dataset for VIE, in which the document images are much more challenging in that they are taken from real applications, and difficulties such as blur, partial occlusion, and printing shift are quite common.

Text Spotting

Sharpness-Aware Gradient Matching for Domain Generalization

1 code implementation18 Mar 2023 Pengfei Wang, Zhaoxiang Zhang, Zhen Lei, Lei Zhang

In this paper, we present two conditions to ensure that the model could converge to a flat minimum with a small loss, and present an algorithm, named Sharpness-Aware Gradient Matching (SAGM), to meet the two conditions for improving model generalization capability.

Domain Generalization

Data-Centric AI: Deep Generative Differentiable Feature Selection via Discrete Subsetting as Continuous Embedding Space Optimization

no code implementations26 Feb 2023 Meng Xiao, Dongjie Wang, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu

We generalize this problem into a deep differentiable feature selection task and propose a new perspective: discrete feature subsetting as continuous embedding space optimization.

Candidate Soups: Fusing Candidate Results Improves Translation Quality for Non-Autoregressive Translation

1 code implementation27 Jan 2023 Huanran Zheng, Wei Zhu, Pengfei Wang, Xiaoling Wang

In this paper, we propose a simple but effective method called "Candidate Soups," which can obtain high-quality translations while maintaining the inference speed of NAT models.


Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents

1 code implementation27 Dec 2022 Meng Xiao, Dongjie Wang, Min Wu, Ziyue Qiao, Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu

Feature transformation for AI is an essential task to boost the effectiveness and interpretability of machine learning (ML).

Boosting Urban Traffic Speed Prediction via Integrating Implicit Spatial Correlations

no code implementations25 Dec 2022 Dongkun Wang, Wei Fan, Pengyang Wang, Pengfei Wang, Dongjie Wang, Denghui Zhang, Yanjie Fu

To tackle the challenge, we propose a generic model for enabling the current traffic speed prediction methods to preserve implicit spatial correlations.

Graph Soft-Contrastive Learning via Neighborhood Ranking

no code implementations28 Sep 2022 Zhiyuan Ning, Pengfei Wang, Pengyang Wang, Ziyue Qiao, Wei Fan, Denghui Zhang, Yi Du, Yuanchun Zhou

In this paper, we investigate this research question and introduce a novel GCL paradigm, namely Graph Soft-Contrastive Learning (GSCL), which can conduct graph self-supervise learning via neighborhood ranking without relying on the binary-contrastive setting.

Contrastive Learning Self-Supervised Learning

Style Interleaved Learning for Generalizable Person Re-identification

no code implementations7 Jul 2022 Wentao Tan, Pengfei Wang, Changxing Ding, Mingming Gong, Kui Jia

We employ the features of interleaved styles to update the feature extractor and classifiers using different forward propagations, which helps the model avoid overfitting to certain domain styles.

Domain Generalization Generalizable Person Re-identification +1

ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities

1 code implementation20 May 2022 Yunjun Gao, Xiaoze Liu, Junyang Wu, Tianyi Li, Pengfei Wang, Lu Chen

To tackle this challenge, we present ClusterEA, a general framework that is capable of scaling up EA models and enhancing their results by leveraging normalization methods on mini-batches with a high entity equivalent rate.

Entity Alignment Entity Embeddings +1

Quality-aware Part Models for Occluded Person Re-identification

no code implementations1 Jan 2022 Pengfei Wang, Changxing Ding, Zhiyin Shao, Zhibin Hong, Shengli Zhang, DaCheng Tao

Existing approaches typically rely on outside tools to infer visible body parts, which may be suboptimal in terms of both computational efficiency and ReID accuracy.

Person Re-Identification

Efficient Reinforced Feature Selection via Early Stopping Traverse Strategy

no code implementations29 Sep 2021 Kunpeng Liu, Pengfei Wang, Dongjie Wang, Wan Du, Dapeng Oliver Wu, Yanjie Fu

In this paper, we propose a single-agent Monte Carlo based reinforced feature selection (MCRFS) method, as well as two efficiency improvement strategies, i. e., early stopping (ES) strategy and reward-level interactive (RI) strategy.

Uncertainty-aware Clustering for Unsupervised Domain Adaptive Object Re-identification

1 code implementation22 Aug 2021 Pengfei Wang, Changxing Ding, Wentao Tan, Mingming Gong, Kui Jia, DaCheng Tao

In particular, the performance of our unsupervised UCF method in the MSMT17$\to$Market1501 task is better than that of the fully supervised setting on Market1501.

PGNet: Real-time Arbitrarily-Shaped Text Spotting with Point Gathering Network

1 code implementation12 Apr 2021 Pengfei Wang, Chengquan Zhang, Fei Qi, Shanshan Liu, Xiaoqiang Zhang, Pengyuan Lyu, Junyu Han, Jingtuo Liu, Errui Ding, Guangming Shi

With a PG-CTC decoder, we gather high-level character classification vectors from two-dimensional space and decode them into text symbols without NMS and RoI operations involved, which guarantees high efficiency.

 Ranked #1 on Scene Text Detection on ICDAR 2015 (Accuracy metric)

Optical Character Recognition (OCR) Scene Text Detection +1

IPAPRec: A promising tool for learning high-performance mapless navigation skills with deep reinforcement learning

no code implementations22 Mar 2021 Wei zhang, Yunfeng Zhang, Ning Liu, Kai Ren, Pengfei Wang

This paper studies how to improve the generalization performance and learning speed of the navigation agents trained with deep reinforcement learning (DRL).

Reinforcement Learning (RL)

Beating the Standard Quantum Limit under Ambient Conditions with Solid-State Spins

no code implementations28 Jan 2021 Tianyu Xie, Zhiyuan Zhao, Xi Kong, Wenchao Ma, Mengqi Wang, Xiangyu Ye, Pei Yu, Zhiping Yang, Shaoyi Xu, Pengfei Wang, Ya Wang, Fazhan Shi, Jiangfeng Du

However, it has not been realized in solid-state spin systems at ambient conditions, owing to its intrinsic complexity for the preparation and survival of pure and entangled quantum states.

Quantum Physics

RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms

1 code implementation3 Nov 2020 Wayne Xin Zhao, Shanlei Mu, Yupeng Hou, Zihan Lin, Yushuo Chen, Xingyu Pan, Kaiyuan Li, Yujie Lu, Hui Wang, Changxin Tian, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang, Wendi Ji, Yaliang Li, Xiaoling Wang, Ji-Rong Wen

In this library, we implement 73 recommendation models on 28 benchmark datasets, covering the categories of general recommendation, sequential recommendation, context-aware recommendation and knowledge-based recommendation.

Collaborative Filtering Sequential Recommendation

Beyond the Attention: Distinguish the Discriminative and Confusable Features For Fine-grained Image Classification

no code implementations12 Oct 2020 Xiruo Shi, Liutong Xu, Pengfei Wang, Yuanyuan Gao, Haifang Jian, Wu Liu

Specifically, LAFE utilizes the region attention modules and channel attention modules to extract discriminative features and confusable features respectively.

Classification Fine-Grained Image Classification +1

Batch Coherence-Driven Network for Part-aware Person Re-Identification

no code implementations21 Sep 2020 Kan Wang, Pengfei Wang, Changxing Ding, DaCheng Tao

First, we introduce a batch coherence-guided channel attention (BCCA) module that highlights the relevant channels for each respective part from the output of a deep backbone model.

Person Re-Identification

Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning

1 code implementation23 Aug 2020 Ziyue Qiao, Pengyang Wang, Yanjie Fu, Yi Du, Pengfei Wang, Yuanchun Zhou

The integrated hierarchical aggregation module aims to preserve the tree structure by combining GNN with Gated Recurrent Unit to integrate the hierarchical and sequential neighborhood information on the tree structure to node representations.

Graph Representation Learning Metric Learning

The Progress, Challenges, and Perspectives of Directed Greybox Fuzzing

no code implementations25 May 2020 Pengfei Wang, Xu Zhou

Most greybox fuzzing tools are coverage-guided as code coverage is strongly correlated with bug coverage.

Cryptography and Security

Multi-task Learning with Coarse Priors for Robust Part-aware Person Re-identification

1 code implementation18 Mar 2020 Changxing Ding, Kan Wang, Pengfei Wang, DaCheng Tao

MPN has three key advantages: 1) it does not need to conduct body part detection in the inference stage; 2) its model is very compact and efficient for both training and testing; 3) in the training stage, it requires only coarse priors of body part locations, which are easy to obtain.

Multi-Task Learning Person Re-Identification

Dynamic Feature Generation Network for Answer Selection

no code implementations13 Dec 2018 Longxuan Ma, Pengfei Wang, Lei Zhang

Extracting appropriate features to represent a corpus is an important task for textual mining.

Answer Selection Retrieval

Dynamic Spatio-temporal Graph-based CNNs for Traffic Prediction

no code implementations5 Dec 2018 Ken Chen, Fei Chen, Baisheng Lai, Zhongming Jin, Yong liu, Kai Li, Long Wei, Pengfei Wang, Yandong Tang, Jianqiang Huang, Xian-Sheng Hua

To capture the graph dynamics, we use the graph prediction stream to predict the dynamic graph structures, and the predicted structures are fed into the flow prediction stream.

Traffic Prediction

A Detection and Segmentation Architecture for Skin Lesion Segmentation on Dermoscopy Images

no code implementations11 Sep 2018 Chengyao Qian, Ting Liu, Hao Jiang, Zhe Wang, Pengfei Wang, Mingxin Guan, Biao Sun

This report summarises our method and validation results for the ISIC Challenge 2018 - Skin Lesion Analysis Towards Melanoma Detection - Task 1: Lesion Segmentation.

Lesion Segmentation Skin Lesion Segmentation

Left-Right Comparative Recurrent Model for Stereo Matching

no code implementations CVPR 2018 Zequn Jie, Pengfei Wang, Yonggen Ling, Bo Zhao, Yunchao Wei, Jiashi Feng, Wei Liu

Left-right consistency check is an effective way to enhance the disparity estimation by referring to the information from the opposite view.

Disparity Estimation Stereo Disparity Estimation +2

Cannot find the paper you are looking for? You can Submit a new open access paper.