b'Jingjing Wang'

research

∙ 05/22/2023

Single Domain Dynamic Generalization for Iris Presentation Attack Detection

Iris presentation attack detection (PAD) has achieved great success unde...

0 Yachun Li, et al. ∙

research

∙ 05/17/2023

Object Segmentation by Mining Cross-Modal Semantics

Multi-sensor clues have shown promise for object segmentation, but inher...

0 Zongwei Wu, et al. ∙

research

∙ 05/16/2023

Age of Incorrect Information in Semantic Communications for NOMA Aided XR Applications

As an evolving successor to the mobile Internet, the extended reality (X...

0 Jianrui Chen, et al. ∙

research

∙ 05/16/2023

Trust-Worthy Semantic Communications for the Metaverse Relying on Federated Learning

As an evolving successor to the mobile Internet, the Metaverse creates t...

0 Jianrui Chen, et al. ∙

research

∙ 03/30/2023

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

Most existing approaches for point cloud normal estimation aim to locall...

0 Hang Du, et al. ∙

research

∙ 12/30/2022

NeRF-Gaze: A Head-Eye Redirection Parametric Model for Gaze Estimation

Gaze estimation is the fundamental basis for many visual tasks. Yet, the...

0 Pengwei Yin, et al. ∙

research

∙ 12/10/2022

Source-free Depth for Object Pop-out

Depth cues are known to be useful for visual perception. However, direct...

0 Zongwei Wu, et al. ∙

research

∙ 11/22/2022

Efficient Sampling Algorithms for Approximate Motif Counting in Temporal Graph Streams

A great variety of complex systems, from user interactions in communicat...

0 Jingjing Wang, et al. ∙

research

∙ 10/08/2022

FBNet: Feedback Network for Point Cloud Completion

The rapid development of point cloud learning has driven point cloud com...

0 Xuejun Yan, et al. ∙

research

∙ 10/08/2022

Point Cloud Upsampling via Cascaded Refinement Network

Point cloud upsampling focuses on generating a dense, uniform and proxim...

0 Hang Du, et al. ∙

research

∙ 10/08/2022

Multi-Scale Wavelet Transformer for Face Forgery Detection

Currently, many face forgery detection methods aggregate spatial and fre...

0 Jie Liu, et al. ∙

research

∙ 07/13/2022

Semi-supervised Ranking for Object Image Blur Assessment

Assessing the blurriness of an object image is fundamentally important t...

0 Qiang Li, et al. ∙

research

∙ 04/01/2022

Weakly Supervised Regional and Temporal Learning for Facial Action Unit Recognition

Automatic facial action unit (AU) recognition is a challenging task due ...

0 Jingwei Yan, et al. ∙

research

∙ 04/01/2022

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

Iris presentation attack detection (PAD) has achieved remarkable success...

0 Yachun Li, et al. ∙

research

∙ 04/01/2022

Unimodal-Concentrated Loss: Fully Adaptive Label Distribution Learning for Ordinal Regression

Learning from a label distribution has achieved promising results on ord...

0 Qiang Li, et al. ∙

research

∙ 02/21/2022

Learning Multiple Explainable and Generalizable Cues for Face Anti-spoofing

Although previous CNN based face anti-spoofing methods have achieved pro...

0 Ying Bian, et al. ∙

research

∙ 12/23/2021

Age of Information in Energy Harvesting Aided Massive Multiple Access Networks

Given the proliferation of the massive machine type communication device...

0 Zhengru Fang, et al. ∙

research

∙ 07/30/2021

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

Automatic facial action unit (AU) recognition is a challenging task due ...

0 Jingwei Yan, et al. ∙

research

∙ 02/24/2021

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

In facial action unit (AU) recognition tasks, regional feature learning ...

0 Jingwei Yan, et al. ∙

research

∙ 02/24/2021

Self-Domain Adaptation for Face Anti-Spoofing

Although current face anti-spoofing methods achieve promising results un...

0 Jingjing Wang, et al. ∙

research

∙ 07/28/2020

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

A great variety of complex systems ranging from user interactions in com...

0 Jingjing Wang, et al. ∙

research

∙ 10/21/2019

Human-Like Decision Making: Document-level Aspect Sentiment Classification via Hierarchical Reinforcement Learning

Recently, neural networks have shown promising results on Document-level...

0 Jingjing Wang, et al. ∙

research

∙ 05/17/2019

Aeronautical Ad Hoc Networking for the Internet-Above-The-Clouds

The engineering vision of relying on the "smart sky" for supporting air ...

0 Jiankang Zhang, et al. ∙

research

∙ 03/21/2019

Distributed Transactional Systems Cannot Be Fast

We prove that no fully transactional system can provide fast read transa...

0 Diego Didona, et al. ∙

research

∙ 03/04/2019

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

The computer-aided detection (CADe) systems are developed to assist path...

32 Wei-Wen Hsu, et al. ∙

research

∙ 01/24/2019

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

Next-generation wireless networks (NGWN) have a substantial potential in...

0 Jingjing Wang, et al. ∙

research

∙ 06/14/2018

Correlation Tracking via Robust Region Proposals

Recently, correlation filter-based trackers have received extensive atte...

0 Yuqi Han, et al. ∙

research

∙ 03/16/2018

Distributed Transactions: Dissecting the Nightmare

Many distributed storage systems are transactional and a lot of work has...

0 Diego Didona, et al. ∙

research

∙ 03/12/2018

Causal Consistency and Latency Optimality: Friend or Foe?

Causal consistency is an attractive consistency model for replicated dat...

0 Diego Didona, et al. ∙

research

∙ 09/03/2014

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

This paper aims at constructing a good graph for discovering intrinsic d...

0 Liansheng Zhuang, et al. ∙

Jingjing Wang

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