Search Results for author: Jingjing Wang

Found 31 papers, 6 papers with code

Single Domain Dynamic Generalization for Iris Presentation Attack Detection

no code implementations22 May 2023 Yachun Li, Jingjing Wang, Yuhui Chen, Di Xie, ShiLiang Pu

To tackle the above issues, we propose a Single Domain Dynamic Generalization (SDDG) framework, which simultaneously exploits domain-invariant and domain-specific features on a per-sample basis and learns to generalize to various unseen domains with numerous natural images.

Domain Generalization Meta-Learning

Object Segmentation by Mining Cross-Modal Semantics

no code implementations17 May 2023 Zongwei Wu, Jingjing Wang, Zhuyun Zhou, Zhaochong An, Qiuping Jiang, Cédric Demonceaux, Guolei Sun, Radu Timofte

In this paper, we propose a novel approach by mining the Cross-Modal Semantics to guide the fusion and decoding of multimodal features, with the aim of controlling the modal contribution based on relative entropy.

Semantic Segmentation Specificity

Rethinking the Approximation Error in 3D Surface Fitting for Point Cloud Normal Estimation

1 code implementation CVPR 2023 Hang Du, Xuejun Yan, Jingjing Wang, Di Xie, ShiLiang Pu

Most existing approaches for point cloud normal estimation aim to locally fit a geometric surface and calculate the normal from the fitted surface.

Source-free Depth for Object Pop-out

no code implementations10 Dec 2022 Zongwei Wu, Danda Pani Paudel, Deng-Ping Fan, Jingjing Wang, Shuo Wang, Cédric Demonceaux, Radu Timofte, Luc van Gool

In this work, we adapt such depth inference models for object segmentation using the objects' ``pop-out'' prior in 3D.

object-detection Object Detection +2

Multi-Scale Wavelet Transformer for Face Forgery Detection

no code implementations8 Oct 2022 Jie Liu, Jingjing Wang, Peng Zhang, Chunmao Wang, Di Xie, ShiLiang Pu

To overcome these limitations, we propose a multi-scale wavelet transformer framework for face forgery detection.

Point Cloud Upsampling via Cascaded Refinement Network

1 code implementation8 Oct 2022 Hang Du, Xuejun Yan, Jingjing Wang, Di Xie, ShiLiang Pu

In this manner, the proposed cascaded refinement network can be easily optimized without extra learning strategies.

FBNet: Feedback Network for Point Cloud Completion

1 code implementation8 Oct 2022 Xuejun Yan, Hongyu Yan, Jingjing Wang, Hang Du, Zhihong Wu, Di Xie, ShiLiang Pu, Li Lu

The rapid development of point cloud learning has driven point cloud completion into a new era.

Point Cloud Completion

Semi-supervised Ranking for Object Image Blur Assessment

1 code implementation13 Jul 2022 Qiang Li, Zhaoliang Yao, Jingjing Wang, Ye Tian, Pengju Yang, Di Xie, ShiLiang Pu

Based on this dataset, we propose a method to obtain the blur scores only with the pairwise rank labels as supervision.

Object Recognition Retrieval

Few-shot One-class Domain Adaptation Based on Frequency for Iris Presentation Attack Detection

no code implementations1 Apr 2022 Yachun Li, Ying Lian, Jingjing Wang, Yuhui Chen, Chunmao Wang, ShiLiang Pu

We thus define a new domain adaptation setting called Few-shot One-class Domain Adaptation (FODA), where adaptation only relies on a limited number of target bonafide samples.

Domain Adaptation Iris Recognition

Learning Multiple Explainable and Generalizable Cues for Face Anti-spoofing

no code implementations21 Feb 2022 Ying Bian, Peng Zhang, Jingjing Wang, Chunmao Wang, ShiLiang Pu

However, many other generalizable cues are unexplored for face anti-spoofing, which limits their performance under cross-dataset testing.

Face Anti-Spoofing

Underwater Differential Game: Finite-Time Target Hunting Task with Communication Delay

no code implementations1 Feb 2022 Wei Wei, Jingjing Wang, Jun Du, Zhengru Fang, Chunxiao Jiang, Yong Ren

Simulations show that underwater disturbances have a large impact on the system considering communication delay.

Self-Supervised Regional and Temporal Auxiliary Tasks for Facial Action Unit Recognition

no code implementations30 Jul 2021 Jingwei Yan, Jingjing Wang, Qiang Li, Chunmao Wang, ShiLiang Pu

Based on these two self-supervised auxiliary tasks, local features, mutual relation and motion cues of AUs are better captured in the backbone network with the proposed regional and temporal based auxiliary task learning (RTATL) framework.

Facial Action Unit Detection Optical Flow Estimation

Self-Domain Adaptation for Face Anti-Spoofing

no code implementations24 Feb 2021 Jingjing Wang, Jingyi Zhang, Ying Bian, Youyi Cai, Chunmao Wang, ShiLiang Pu

In this paper, we propose a self-domain adaptation framework to leverage the unlabeled test domain data at inference.

Domain Generalization Face Anti-Spoofing +1

Multi-Level Adaptive Region of Interest and Graph Learning for Facial Action Unit Recognition

no code implementations24 Feb 2021 Jingwei Yan, Boyuan Jiang, Jingjing Wang, Qiang Li, Chunmao Wang, ShiLiang Pu

In order to incorporate the intra-level AU relation and inter-level AU regional relevance simultaneously, a multi-level AU relation graph is constructed and graph convolution is performed to further enhance AU regional features of each level.

Facial Action Unit Detection Graph Learning

Multimodal Topic-Enriched Auxiliary Learning for Depression Detection

no code implementations COLING 2020 Minghui An, Jingjing Wang, Shoushan Li, Guodong Zhou

To this end, we propose a new Multimodal Topic-enriched Auxiliary Learning (MTAL) approach, aiming at capturing the topic information inside different modalities (i. e., texts and images) for depression detection.

Auxiliary Learning Depression Detection

Efficient Sampling Algorithms for Approximate Temporal Motif Counting (Extended Version)

1 code implementation28 Jul 2020 Jingjing Wang, Yanhao Wang, Wenjun Jiang, Yuchen Li, Kian-Lee Tan

We first propose a generic edge sampling (ES) algorithm for estimating the number of instances of any temporal motif.

Aspect Sentiment Classification with Document-level Sentiment Preference Modeling

no code implementations ACL 2020 Xiao Chen, Changlong Sun, Jingjing Wang, Shoushan Li, Luo Si, Min Zhang, Guodong Zhou

This justifies the importance of the document-level sentiment preference information to ASC and the effectiveness of our approach capturing such information.

Classification General Classification +3

Multivariate Triangular Quantile Maps for Novelty Detection

1 code implementation NeurIPS 2019 Jingjing Wang, Sun Sun, Yao-Liang Yu

Novelty detection, a fundamental task in machine learning, has drawn a lot of recent attention due to its wide-ranging applications and the rise of neural approaches.

Density Estimation

Aspect Sentiment Classification Towards Question-Answering with Reinforced Bidirectional Attention Network

no code implementations ACL 2019 Jingjing Wang, Changlong Sun, Shoushan Li, Xiaozhong Liu, Luo Si, Min Zhang, Guodong Zhou

This paper extends the research to interactive reviews and proposes a new research task, namely Aspect Sentiment Classification towards Question-Answering (ASC-QA), for real-world applications.

General Classification Question Answering +2

Understanding the Mechanism of Deep Learning Framework for Lesion Detection in Pathological Images with Breast Cancer

no code implementations4 Mar 2019 Wei-Wen Hsu, Chung-Hao Chen, Chang Hoa, Yu-Ling Hou, Xiang Gao, Yun Shao, Xueli Zhang, Jingjing Wang, Tao He, Yanghong Tai

Most of the characteristics learned by the deep learning models have summarized the detection rules that can be recognized by the experienced pathologists, whereas there are still some features may not be intuitive to domain experts but discriminative in classification for machines.

General Classification Lesion Detection

Thirty Years of Machine Learning: The Road to Pareto-Optimal Wireless Networks

no code implementations24 Jan 2019 Jingjing Wang, Chunxiao Jiang, Haijun Zhang, Yong Ren, Kwang-cheng Chen, Lajos Hanzo

Future wireless networks have a substantial potential in terms of supporting a broad range of complex compelling applications both in military and civilian fields, where the users are able to enjoy high-rate, low-latency, low-cost and reliable information services.

BIG-bench Machine Learning Decision Making

Cross-media User Profiling with Joint Textual and Social User Embedding

no code implementations COLING 2018 Jingjing Wang, Shoushan Li, Mingqi Jiang, Hanqian Wu, Guodong Zhou

In realistic scenarios, a user profiling model (e. g., gender classification or age regression) learned from one social media might perform rather poorly when tested on another social media due to the different data distributions in the two media.

Classification General Classification +1

Correlation Tracking via Robust Region Proposals

no code implementations14 Jun 2018 Yuqi Han, Jinghong Nan, Zengshuo Zhang, Jingjing Wang, Baojun Zhao

Recently, correlation filter-based trackers have received extensive attention due to their simplicity and superior speed.

Region Proposal Visual Tracking

Constructing a Non-Negative Low Rank and Sparse Graph with Data-Adaptive Features

no code implementations3 Sep 2014 Liansheng Zhuang, Shenghua Gao, Jinhui Tang, Jingjing Wang, Zhouchen Lin, Yi Ma

This paper aims at constructing a good graph for discovering intrinsic data structures in a semi-supervised learning setting.

graph construction

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