research
∙
05/22/2023
Single Domain Dynamic Generalization for Iris Presentation Attack Detection
Iris presentation attack detection (PAD) has achieved great success unde...
share
research
∙
05/17/2023
Object Segmentation by Mining Cross-Modal Semantics
Multi-sensor clues have shown promise for object segmentation, but inher...
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...
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...
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...
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...
research
∙
12/10/2022
Source-free Depth for Object Pop-out
Depth cues are known to be useful for visual perception. However, direct...
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...
research
∙
10/08/2022
FBNet: Feedback Network for Point Cloud Completion
The rapid development of point cloud learning has driven point cloud com...
research
∙
10/08/2022
Point Cloud Upsampling via Cascaded Refinement Network
Point cloud upsampling focuses on generating a dense, uniform and proxim...
research
∙
10/08/2022
Multi-Scale Wavelet Transformer for Face Forgery Detection
Currently, many face forgery detection methods aggregate spatial and fre...
research
∙
07/13/2022
Semi-supervised Ranking for Object Image Blur Assessment
Assessing the blurriness of an object image is fundamentally important t...
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 ...
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...
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...
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...
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...
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 ...
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 ...
research
∙
02/24/2021
Self-Domain Adaptation for Face Anti-Spoofing
Although current face anti-spoofing methods achieve promising results un...
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...
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...
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 ...
research
∙
03/21/2019
Distributed Transactional Systems Cannot Be Fast
We prove that no fully transactional system can provide fast read transa...
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...
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...
research
∙
06/14/2018
Correlation Tracking via Robust Region Proposals
Recently, correlation filter-based trackers have received extensive atte...
research
∙
03/16/2018
Distributed Transactions: Dissecting the Nightmare
Many distributed storage systems are transactional and a lot of work has...
research
∙
03/12/2018
Causal Consistency and Latency Optimality: Friend or Foe?
Causal consistency is an attractive consistency model for replicated dat...
research
∙
09/03/2014
